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# Copilot: Take This Test
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# Copilot: STOP. Read this completely before doing anything.
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Peter Higgins here. Fresh session. You're taking a cold-start exam on the Higgins Unity Framework (HUF).
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Peter Higgins here. This is a TEST. Not a task. Not a scraping job. Not a shell-script request.
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## The Situation
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You are taking an EXAM. You will read ONE file, answer 10 questions, and output JSON.
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I develop HUF with multiple AI collaborators — Claude, ChatGPT, Grok, Gemini, and you. Long sessions cause context drift: names mutate, numbers shift. We built a two-file refresh system (FAST_REFRESH + INTEGRITY_MANIFEST) so any AI can cold-start accurately from the repo alone.
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DO NOT scrape the repo. DO NOT build scripts. DO NOT summarize the README. DO NOT help me run anything. TAKE THE TEST.
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Results so far: Claude 5/5, ChatGPT 10/10 (caught 2 real bugs in the manifest), Grok 10/10 (found 6 structural issues in adversarial mode). Your turn.
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---
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You have native GitHub access — this should be the easiest test of any platform.
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## Step 1: Read ONE file
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## Your Instructions
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Open this file and read the entire contents:
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**DO NOT just analyze the test design. TAKE THE TEST.**
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https://raw.githubusercontent.com/PeterHiggins19/Higgins-Unity-Framework/master/ai-refresh/HUF_FAST_REFRESH.json
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### Step 1: Load the textbook
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Read this file from the repo: `ai-refresh/HUF_FAST_REFRESH.json`
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URL: https://github.com/PeterHiggins19/Higgins-Unity-Framework/blob/master/ai-refresh/HUF_FAST_REFRESH.json
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That file is your only source for the answers below. If you cannot access it, say "I cannot access the URL" and I will paste it.
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If you can't access it, tell me and I'll paste it.
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## Step 2: Answer these 10 questions
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### Step 2: Answer these 10 questions (from FAST_REFRESH only)
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Use ONLY what you read in HUF_FAST_REFRESH.json. Do not use prior knowledge, do not browse other files.
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1. What does EITT stand for? List two things it must NEVER be called.
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2. Germany drift flag values — exact years and d_A numbers.
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3. Japan drift flag — when in annual data, and why not 2011?
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4. Three UK drift flag values with year-pairs.
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5. HUF-GOV core doctrine — can the instrument actuate?
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6. Perturbation difference formula and drift threshold.
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7. Four EITT proof domains with one key number each.
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8. Bell test result — how much above classical bound?
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9. PLL discipline — how many rules, what does PLL stand for?
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10. Keff_fill — what aggregator, what value of p?
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For each: answer, confidence (HIGH/MEDIUM/LOW), pass/fail.
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### Step 3: Integrity check
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Read `ai-refresh/HUF_INTEGRITY_MANIFEST.json` from the same repo. Verify your answers match the canonical checksums.
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### Step 4: Structural review
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Browse https://github.com/PeterHiggins19/Higgins-Unity-Framework and check:
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- (a) ai-refresh/ visible?
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- (b) science/ has quantum, eitt, coda-monitoring, spectral, loudspeaker-analogy, wetlands, governance?
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- (c) briefings/ and dormant/ exist as top-level folders?
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- (d) README shows the expanded structure?
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- (e) INDEX.json at root?
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### Step 5: Code review (your special role)
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As the code-native platform, also check:
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- Are Python scripts present in tools/ or science/?
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- Could someone clone the repo and run the EMBER protocol?
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- Is the .gitattributes correctly tracking LFS types?
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- Any obvious issues with repo hygiene?
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### Step 6: Your honest opinion
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Rate the cold-start system 1-10. What works, what's missing?
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### Step 7: Output
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Give me your results as JSON matching this structure:
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2. Germany drift flag values — give the exact year-pairs and d_A numbers.
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3. Japan drift flag — which year-pair in annual data, and why is it NOT 2011-2012?
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4. Three UK drift flag d_A values with their year-pairs.
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5. HUF-GOV core doctrine — can the instrument actuate? Yes or no, and explain.
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6. The perturbation difference formula and the drift threshold rule.
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7. Name the four EITT proof domains with one key number each.
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8. Bell test — what is best_S, what is the classical bound, what is the violation percentage?
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9. PLL — what does it stand for, how many rules?
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10. Keff_fill — what aggregator type, what value of p?
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For EACH question give: your answer, confidence (HIGH/MEDIUM/LOW), and pass (true/false).
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## Step 3: Integrity check
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Now read this second file:
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https://raw.githubusercontent.com/PeterHiggins19/Higgins-Unity-Framework/master/ai-refresh/HUF_INTEGRITY_MANIFEST.json
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Check: does "Entropy-Invariant Time Transformer" contain the word "Time"? Is it NOT "Ternary"? Do your Japan/Germany/UK values match the canonical checksums in that file?
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Report: PASS or FAIL, with any mismatches listed.
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## Step 4: Structural review
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Browse https://github.com/PeterHiggins19/Higgins-Unity-Framework and answer YES or NO:
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- (a) Is ai-refresh/ visible as a folder?
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- (b) Does science/ contain subfolders: quantum, eitt, coda-monitoring, spectral, loudspeaker-analogy, wetlands, governance?
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- (c) Do briefings/ and dormant/ exist as top-level folders?
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- (d) Does README.md show the expanded structure?
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- (e) Is INDEX.json present at root?
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Score out of 5 (one point each).
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## Step 5: Rate it
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Rate the cold-start system 1-10. One sentence on what works, one sentence on what's missing.
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## Step 6: Output as JSON
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Return your results in EXACTLY this format:
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```json
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{
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"meta": {
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"assistant": "copilot",
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"platform": "github-copilot",
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"model_version": "YOUR_MODEL",
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"model_version": "STATE YOUR MODEL",
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"run_date": "2026-04-13",
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"repo": "PeterHiggins19/Higgins-Unity-Framework",
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"commit_short": "LATEST",
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"commit_short": "b7c33ba",
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"repo_access": true
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},
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"score_card": {
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"Q01_naming": {"answer": "", "score": 0, "pass": false, "confidence": ""},
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"...": "..."
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"Q01_naming": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q02_germany": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q03_japan": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q04_uk": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q05_governance": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q06_formula": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q07_eitt_proof": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q08_quantum": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q09_pll": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"Q10_architecture": {"answer": "YOUR ANSWER", "score": 1, "pass": true, "confidence": "HIGH"},
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"total_score": "0/10"
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},
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"integrity_check": {
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"eitt_contains_time": true,
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"eitt_not_ternary": true,
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"japan_period_correct": true,
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"germany_values_match": true,
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"uk_three_values": true,
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"mismatches": [],
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"result": "PASS"
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},
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"integrity_check": {"result": "PASS or FAIL", "mismatches": []},
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"structural_review": {"score": "0/5"},
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"code_review": {"findings": [], "score": "0/5"},
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"overall": {"pass": false, "rating": 0, "verdict": ""}
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"structural_review": {
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"ai_refresh_visible": true,
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"science_subfolders_present": true,
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"briefings_dormant_present": true,
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"readme_reflects_structure": true,
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"index_json_present": true,
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"score": "0/5"
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},
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"overall": {
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"pass": true,
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"rating": 0,
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"verdict": "YOUR VERDICT"
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}
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}
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```
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## Repo
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## Context (read AFTER taking the test)
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Three AIs already took this test: Claude (5/5), ChatGPT (10/10, caught 2 manifest bugs), Grok (10/10, found 6 structural issues). You are the fourth. Your results will be committed to the repo at ai-refresh/test-results/.
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https://github.com/PeterHiggins19/Higgins-Unity-Framework
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## START NOW
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Start now. Read FAST_REFRESH. Answer the questions. Give me JSON.
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Read HUF_FAST_REFRESH.json. Answer the 10 questions. Give me JSON. Nothing else.

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