agentleFS
Yeachan-HeoYeachan-Heo/oh-my-claude-sisyphus/skills/correct/SKILL.md

correct

Skill41k starsChanged 4 days agoMITView on GitHub

Find the mistakes agents keep repeating in this repo and make each impossible at the highest enforcing level — lint rule, type guard, runtime check, script, then text — with every enforcement proven to fire.

50 other projects use a version of this.

Trending

Quiet since January.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 3 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the Yeachan-Heo/oh-my-claude-sisyphus repository that our weekly crawl found: only 3 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Most recently taken up by

Used with

Projects with it also use poteto-help, principle-explain-the-number and 3 more.

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.
  • ianclearySkill

    poteto-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 14 projects that use this

  • ianclearySkill

    principle-explain-the-number

    Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.

    Also in 27 projects that use this

  • jaydubya818Skill

    principle-attack-the-premise

    Apply when repeated fixes fail and a shared assumption may be wrong.

    Also in 27 projects that use this

  • jaydubya818Skill

    principle-test-behavior-not-implementation

    Apply when tests mirror internals instead of asserting observable outcomes.

    Also in 27 projects that use this

  • eryzerzSkill

    make-bot-ui

    Use when building a custom UI (page, dashboard, buttons) that should wake a Grok Bot over a webhook, when the user must provide a webhook sender key, or when exposing that UI on Tailscale.

    Also in 13 projects that use this

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 15 edited versions we read keep these.

  • 1

    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
  1. Distinctive:

    Never weaken an enforcement to make a test pass.

    line 57

“Common” is measured: kept by at least 6 in 10 of the 15 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Correct

Text instructions decay; structure reruns. This skill converts a repeated agent mistake into an enforcement the mistake cannot survive.

When to use

  • the same class of error appears twice or more (wrong import path, missed codegen step, broken invariant, slop pattern)
  • retrospective findings in .omc/notepads/ or review history name recurring friction

Workflow

  1. Collect. Mine the evidence — resolve OMC's state root first (the checkout's .omc/ by default; OMC_STATE_DIR or a parent .omc-workspace moves it, and a package-subdirectory launch must not read a stray checkout-local .omc): the notepads under <state-root>/notepads/*/problems.md, the verification ledger at <state-root>/state/verification-ledger.tsv, review comments, recent fix commits. Group by root cause, not by symptom.
  2. Rank. Frequency × cost. Take the top mistakes; one at a time.
  3. Pick the highest enforcement level that works:
    1. linter rule / compiler error — the mistake stops compiling
    2. type-level guard — the mistake stops type-checking
    3. runtime check or assertion — the mistake fails loudly at the boundary
    4. script or codemod — the correct action is one command
    5. project skill text — the last resort; note why every higher level failed
  4. Implement the enforcement with its exception path documented (how a legitimate case opts out).
  5. Prove it fires. Reproduce the mistake deliberately and show the enforcement catching it, with real output. An enforcement you have not seen fire is a hypothesis (an external benchmark-checklist discipline applies).
  6. Record honestly: the ledger verdict matches what the repro actually exercised — a lint rule or type guard firing is enforcement-verified, a runtime check exercised by a test is unit-test-verified, a proof is formally-verified. Never record a stronger verdict than the evidence.

Rules

  • Never weaken an enforcement to make a test pass; the enforcement is the requirement now.
  • Record what was encoded in the state-root ledger (<state-root>/state/verification-ledger.tsv per the collection step) with the verdict the repro actually exercised (see workflow step 6) and the repro command as evidence.
  • Text added at level 5 references this skill, so the next occurrence tries to climb the ladder again.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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.