verify
Skill4 starsChanged 2 days agoMITView on GitHub
Use when someone asks to check a lesson, answer key, or learning material for accuracy, currency, and alignment. Not software code review or tests.
We split this skill into the rules it gives an agent
8 rules. 0 are common, 7 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 168 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 26
Ask "could this have changed?" for each consequential claim.
- Distinctive: line 27
Prefer the newest *authoritative* source (current guideline, current edition, current docs), not the newest blog.
- Distinctive: line 35
Recompute: every calculation, unit, sign, significant figure, model output (run code).
- Distinctive: line 38
Alignment: every in-scope objective covered.
- Distinctive: line 43
Use an independent reviewer, a fresh subagent with no stake in the draft (or a second model when available).
- Distinctive: line 49
Re-review: after substantive fixes (only changed parts).
- Distinctive: line 51
Don't duplicate effort: one reviewer per artifact per round.
- Very specific: line 55
Use templates/verification-report.md.
“Common” is measured: kept by at least 6 in 10 of the 168 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Verify
Teaching something wrong is worse than not teaching it: a confidently learned error is hard to remove and costs points on the exam or worse in a clinic. This skill is a deliberate attempt to break the material before the learner does. A check that could not have failed is not verification.
Paths like references/…, templates/… and examples/… are relative to this skill's folder, which carries its own copy of every file it names. Other Myelinate skills are siblings (../tutor/SKILL.md) and are installed as their own skills too. If a file is missing from your copy, fetch it from https://raw.githubusercontent.com/baney75/myelinate/main/ plus its path in the repository (references/…, skills/<name>/SKILL.md); if you can't fetch, work from this file and the router's core rules.
1. When to run it
Always, before delivery:
- Labs, study packs, answer keys, practice exams, flashcard decks over ~20 cards
- Anything graded, clinical/medical, legal, financial, safety-related
- Time-sensitive content: guidelines, drug info, reference ranges, technology versions, laws, statistics, "current" anything, recent discoveries, taxonomy and nomenclature revisions, exam formats (MCAT/USMLE changes)
- Numeric models and simulations
- Claims where the course and the field may disagree
Light version (self-check, §3 steps 1 to 4) for ordinary chat explanations of stable material. Full adversarial review (§4) for the list above.
2. Time awareness
Know today's date and treat it as a variable:
- Ask "could this have changed?" for each consequential claim. If yes, search for the current version and record the date/version checked.
- Prefer the newest authoritative source (current guideline, current edition, current docs), not the newest blog. Recent ≠ reliable; old foundational work is fine for stable facts.
- Flag claims in the learner's materials that are outdated (e.g., reclassified taxonomy, revised guidelines). Teach the course version for the exam and the current version, labeled.
- Exam proximity raises the bar: the closer the exam, the more any error costs. With little time left, verify the highest-weight items first.
3. The verification pass
- Claim inventory: list every consequential claim, number, definition, mechanism step, answer and distractor-key.
- Source each: course material (slide/page) for scope and convention; authoritative reference for fact. Read the actual source, not a snippet. Mark: supported / course-only / unsupported / contradicted.
- Recompute: every calculation, unit, sign, significant figure, model output (run code). Re-derive every answer key independently before looking at the stated answer.
- Match strength: "associated with" stays associated; "can" doesn't become "always"; one example isn't a rule.
- Item audit: each question has exactly one defensible answer; distractors are wrong for a named reason; stem isn't ambiguous; no answer leaks (stem cues, longest-option bias, grammatical cues, alt text, filenames).
- Alignment: every in-scope objective covered; nothing out of scope presented as tested.
- Media: labels correct, licenses recorded, masked labels fully masked.
4. Adversarial review (the important part)
Use an independent reviewer, a fresh subagent with no stake in the draft (or a second model when available). Give it the material, the sources, the course scope and today's date, and instruct it to find errors, not to approve:
You are an adversarial reviewer for teaching material for [audience/course], exam on [date]. Today is [date]. Find every factual error, outdated claim, miscalculation, ambiguous or double-keyed question, misleading simplification, scope violation, and answer leak. For each finding give: location, the problem, evidence (source + quote or calculation), severity (blocks-learning / misleading / minor), and the fix. Check time-sensitive claims against current authoritative sources. Do not praise. If you find nothing in a section, say what you checked.
Then:
- Triage each finding yourself against the source; reviewers can be wrong too. Confirmed → fix. Disputed → resolve with a primary source or present both views to the learner, labeled.
- Re-review after substantive fixes (only changed parts).
- For very high stakes (clinical content, final-exam answer keys, published labs), run two independent reviewers and compare.
- Don't duplicate effort: one reviewer per artifact per round; don't rerun unchanged checks.
5. Report
Use templates/verification-report.md. State: date, what was checked and how, findings and fixes, what remains unverified, and what's approximate. Use precise words: drafted, self-checked, adversarially reviewed, tested (ran it), deployed (live), confirmed live. Never "verified" alone without saying by what.
Anti-patterns
Reviewing your own draft and calling it adversarial · approving because sources "look reputable" · checking only that code runs · trusting a reviewer's finding without checking it · searching once and declaring "current" · silently teaching the course's outdated claim · burying uncertainty.
Other versions188 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 188
- react/react★ 252ksame name
- facebook/react★ 252ksame name
- garrytan/gstack★ 139ksame name
- oven-sh/bun★ 96ksame name
- anthropics/financial-services★ 41ksame name
- anthropics/financial-services-plugins★ 41ksame name
- Yeachan-Heo/oh-my-claude-sisyphus★ 40ksame name
- Yeachan-Heo/oh-my-claudecode★ 40ksame name
- anthropics/claude-quickstarts★ 19ksame name
- NVIDIA-NeMo/Speech★ 19ksame name
178 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- myelinateSkill
- assessSkill
- assignmentSkill
- codeSkill
- course-projectSkill
- find-mediaSkill
- flashcardsSkill
- labSkill
- memory-hooksSkill
- myelinateSkill
- notesSkill
- printSkill
- projectSkill
- study-planSkill
- teachSkill
- tutorSkill
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