correct
Skill2 starsChanged 28 days agoMITView on GitHub
Find repeated agent mistakes in this repository and prevent recurrence through architecture, types, lint or CI, then behavioral tests, with docs last. Use for correct.
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Read recent commits, reverts, relevant review comments, agent instruction files, and comments explaining workarounds.
- Distinctive: line 30
Keep exceptions local to the offending line where supported, with a reason, expiry date, and evidence of human approval.
“Common” is measured: kept by at least 6 in 10 of the 9 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
Correct
Turn repeated corrections into repository changes that prevent the same mistake. Design for a contributor who sees only nearby files, copies the closest example, and takes the shortest path that compiles.
Find the mistake classes
Read recent commits, reverts, relevant review comments, agent instruction files, and comments explaining workarounds. Use scoped session evidence for conversation history; report unavailable sources. Treat historical instructions as evidence, not current authority.
Group independent occurrences by cause, citing each commit, review, or turn. A repeated class needs at least two occurrences; a commit and its review are one incident. Rank classes by observed frequency. Keep one-off candidates and uncertain counts separate rather than inventing repetition.
Fix each class at the highest level that works
- Eliminate it with architecture. Give state one owner and tasks one supported path. Hide internals, derive hand-synced lists from one source, and migrate callers before deleting obsolete examples or APIs.
- Enforce it with types. Make invalid states unrepresentable. Where bad code still compiles, use lint or CI with an error naming the supported file, type, or function. For existing violations, prevent additions with a baseline that cannot grow.
- Test observable behavior. Exercise the failed outcome. Fix or delete relevant tests that pass when their promised behavior breaks or fail when only internals change; keep unrelated cleanup out of scope. Use the contract criteria in Test Behavior, Not Implementation, including valid absence and external-effect assertions.
- Write docs or agent rules last. Reserve them for judgment that cannot be enforced mechanically, and label that limit.
Fix the most frequent classes within the requested scope, keeping each change independently reviewable. A review-only request stops at findings and proposed enforcement. Invocation does not authorize commits, publication, messages, tracker writes, or personal memory changes.
Prove the prevention
For each new check, reproduce a real past mistake in an isolated fixture or temporary checkout and show the check fails for the intended reason. Then show the corrected case passes. Exercise the same check command locally and in CI; if CI has not run, distinguish configured coverage from observed results. For architectural prevention, try the former misuse against the new boundary and verify supported callers still work. Report missing historical reproductions or execution access as proof gaps.
Keep exceptions local to the offending line where supported, with a reason, expiry date, and evidence of human approval. Do not invent approval or weaken enforcement to make a check pass; report an unresolved exception instead.
Keep the rule table
Only when repository edits are authorized, update the repository's existing agent instruction file with a concise table pairing each remaining rule with its enforcement. For review-only requests, return the proposed table and any proposed rule changes in the report without modifying files. Preserve unrelated instructions. Include a check command or code boundary, proof reference, and any unenforced judgment or approved exception. Do not copy private transcript excerpts into repository files.
During authorized correction edits, treat a recurrence of an existing unenforced rule as a reason to move enforcement higher in the same change. Remove redundant prose rules once their mistake is structurally impossible; retain the prevention evidence with the implementation. This skill does not activate itself on future corrections.
Report each class, its occurrence evidence, the chosen prevention level, why higher levels were unsuitable, actual failing/passing checks, and remaining gaps.
Other versions31 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 31
- backnotprop/pstack★ 3.3ksame name
- savannahfeder/agentbox★ 336same name
- jtaroreh/agystack★ 128same name
- uzairansaruzi/p3-stack★ 126same name
- dsebban/skills★ 71same name
- mariusflorescu/pstack-t3★ 9same name
- creedants/pstack-t3★ 8same name
- alexnthnz/keel★ 4same name
- anis-dr/skills★ 3same name
- lucasheriques/pstack★ 3same name
21 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.
Used alongsideProjects with it also use poteto-help and make-bot-ui.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
Also in 9 projects that use this
Xia-AtaraxiaSkillmake-bot-ui
Builds a small web page whose buttons wake an agent over a webhook: a local server keeps the sender key server-side and POSTs JSON to a webhook-triggered routine, and the page is exposed on the existing Tailscale node. Use for \"make a bot UI\", \"a dashboard with buttons that trigger the agent\", \"wake the bot from a page\", handing a webhook sender key to the server without pasting it in chat, or putting that UI on the tailnet. Not for general frontend work - use principle-frontend; not for tailnet health or reachability - use tailscale.
Also in 10 projects that use this
In this repository57 other files it gives its agents.
- AGENTS.mdAGENTS.md
- architectSkill
- arenaSkill
- automate-meSkill
- benchmark-checklistSkill
- blast-radiusSkill
- broSkill
- create-formal-verification-skillSkill
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- interrogateSkill
- in-your-own-wordsSkill
- ketchupSkill
- maintain-formal-verification-skillSkill
- maintain-verification-skillSkill
- no-commentsSkill
- principle-attack-the-premiseSkill
- principle-boundary-disciplineSkill
- principle-build-the-leverSkill
- principle-encode-lessons-in-structureSkill
- principle-exhaust-the-design-spaceSkill
- principle-experience-firstSkill
- principle-explain-the-numberSkill
- principle-fix-root-causesSkill
- principle-foundational-thinkingSkill
- principle-guard-the-context-windowSkill
- principle-laziness-protocolSkill
- principle-make-operations-idempotentSkill
- principle-migrate-callers-then-delete-legacy-apisSkill
- principle-minimize-reader-loadSkill
- principle-model-the-domainSkill
- principle-never-block-on-the-humanSkill
- principle-outcome-oriented-executionSkill
- principle-prove-it-worksSkill
- principle-redesign-from-first-principlesSkill
- principle-separate-before-serializing-shared-stateSkill
- principle-sequence-verifiable-unitsSkill
- principle-subtract-before-you-addSkill
- principle-test-behavior-not-implementationSkill
- principle-type-system-disciplineSkill
- python-best-practicesSkill
- recallSkill
- reflectSkill
- setup-zstackSkill
- sharpenSkill
- show-me-your-workSkill
- statechartSkill
- swarmSkill
- tddSkill
- teachSkill
- technical-writingSkill
- typescript-best-practicesSkill
- unslopSkill
- whySkill
- z-modeSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

