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check-agent-compatibility

Use when a human explicitly asks for a full repository agent-compatibility pass returning a scored report with prioritized fixes. Not for tasks that require source or remote-system changes.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md4.1 KB
  • agents/openai.yaml208 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Check agent compatibility

Contract

FieldBound contract
TriggerFull repository agent-compatibility pass, invoked explicitly by a human
AuthorityRead-only. No file, VCS, credential, paid, published, deployed, or remote mutation.
Side effectChat output only; target is read-only CLI and review passes. No repository, configuration, or remote state is changed
DoneA scored compatibility report with prioritized fixes and broken-down dimension results is returned

Inputs

  • Repository path to audit (must be supplied).
  • Optional scope limit (subdirectory or file glob) narrowing the pass; when omitted the whole repository is audited.

Procedure

  1. Parse scope and bind to the repository. Resolve the repository path to an absolute directory and apply the optional scope limit. Do not widen scope mid-pass. Done when: scope is bound to the repository path and optional limit.
  2. Discover agent configuration and instruction surfaces. Scan for: .claude/ directories (settings.json, commands/, hooks/), CLAUDE.md and AGENTS.md files, .cursor/ directories, plugin.json or .claude-plugin/ manifests, agents/openai.yaml skill manifests, MCP configuration files (.mcp.json, mcp.json), and any skills/*/SKILL.md trees. Done when: all agent configuration and instruction surfaces within scope are discovered.
  3. Validate syntax, schema, and dependency resolution for discovered surfaces. For each surface: parse JSON/YAML syntax, check required schema fields against the expected format, and verify that referenced files (entry points, hook scripts, skill directories) exist and resolve. Done when: every discovered surface is validated or its validation error is recorded.
  4. Run read-only agent startup and configuration loading. Attempt to load the agent configuration as the host would: parse settings, resolve hook definitions without executing them, resolve tool permissions, and load skill manifests. Registering a hook in the host runs its command, so resolve and validate hook definitions only; do not register or run them. Capture any startup errors, missing dependencies, or configuration conflicts. Do not execute any tool or mutation. Done when: startup and configuration loading is attempted, hook definitions are resolved without execution, and results are captured.
  5. Aggregate findings into a scored compatibility report. Score each of the four dimensions on a 0-100 scale:
    • Configuration validity (syntax, schema, field completeness)
    • Instruction reliability (documented instructions match observed repository behavior)
    • Startup readiness (configuration loading and tool registration succeed without mutation)
    • Dependency resolution (referenced files, entry points, and skill paths resolve) Compute the composite as the unweighted average of available dimension scores. A dimension that could not be evaluated contributes no score and does not lower the composite. Rank findings by impact on agent compatibility. Done when: the scored report with prioritized fixes is produced.

Failure and recovery

  • Missing repository path: stop and report the blocked input; do not guess a path or widen scope.
  • Missing required runtime blocking startup: record the missing runtime as a startup-readiness failure that could not be evaluated; continue evaluating the other dimensions. The blocked dimension contributes no score and does not lower the composite.
  • Review pass error: stop that dimension, record which dimension failed, and continue the remaining dimensions. The returned report marks the failed dimension rather than pretending it passed.
  • No mutation occurs on any failure. Because the pass is read-only, there are no changes to roll back.

Output

A chat report containing the composite compatibility score (0-100), the per-dimension scores with broken-down findings, and a prioritized fix list ranked by impact on agent compatibility.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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