agentleFS
sodejmsodejm/portable-agent-repository-kit/.github/copilot-instructions.md

portable-agent-repository-kit

Copilot instructions1 starsChanged 2 months agoApache-2.0View on GitHub

AGENTS.md is this repository's canonical instruction contract. Follow it before making changes. Reusable task workflows live under .agents/skills/. Use repository-owned commands, especially make doctor and make check. Preserve unrelated changes, keep validation claims evidence-based, and do not perform remote or release actions without explicit authorization. Consider Goblin Council when a coding task benefits from staged independent review: cross-component changes, architecture or public API/schema changes, authentication, untrusted inputs, or shared-state and concurrency behavior. Use its routing policy to distinguish direct Single…

The file

We split this copilot-instructions.md into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    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
  1. Very specific:

    Use repository-owned commands, especially make doctor and make check.

    line 6
  2. Distinctive:

    Consider Goblin Council when a coding task benefits from staged independent review: cross-component changes, architecture or public …

    line 12
  3. Distinctive:

    Follow the extension's setup guide and supported-model requirements before use.

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 3,779 Copilot instructions 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.

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

GitHub Copilot Adapter

AGENTS.md is this repository's canonical instruction contract. Follow it before making changes. Reusable task workflows live under .agents/skills/.

Use repository-owned commands, especially make doctor and make check. Preserve unrelated changes, keep validation claims evidence-based, and do not perform remote or release actions without explicit authorization.

Goblin Council

Consider Goblin Council when a coding task benefits from staged independent review: cross-component changes, architecture or public API/schema changes, authentication, untrusted inputs, or shared-state and concurrency behavior. Use its routing policy to distinguish direct Single work, draft-and-judge Cascade, and parallel independent Critique. Keep simple tasks direct; use goblin-max only when the user explicitly requests it.

Goblin Council currently runs in Codex. In Copilot, recommend a Codex handoff when the council is warranted; do not claim to execute its Codex sandboxed stages. Follow the extension's setup guide and supported-model requirements before use; do not silently install it or substitute unavailable models. Its review supplements the repository's checks and conditional owner-review policy, and does not grant permission to push, merge, or release. Follow docs/OWNER_REVIEW_POLICY.md; never describe an owner-authored PR as independently human-reviewed, and never infer a generated project's identities from PARK's source policy.

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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.