agentleFS
agentpatterns-aiagentpatterns-ai/skills/conflicting-instruction-detector/SKILL.md

conflicting-instruction-detector

Skill7 starsChanged 49 days agoNo licenceView on GitHub

Surface semantic conflicts across two or more agent instruction files / a skill library — pairs of independently-authored rules in different files that contradict in effect though they share no wording — and present them as candidate conflicts for human review, never auto-resolved. Invoke only when the concern is cross-file — rules in different files disagree, a multi-file instruction set or skill library needs checking for cross-document contradictions, or an agent behaves inconsistently because rules in separate files conflict. Skip when the target is a single file's own attention/density, its within-file contradictions, or layer-stack precedence within one load stack — e.g. CLAUDE.md vs a loaded SKILL.md (use audit-instruction-file), when the collision is between skills' frontmatter descriptions / dispatch quality (use audit-skill-quality), or when you want a conflict mechanically fixed.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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.