agentleFS
quaatquaat/autonomous-development/skills/autonomous-status/SKILL.md

autonomous-status

Skill3 starsChanged 49 days agoMITView on GitHub

Show the current autonomous-development run, generated artifacts, review budget, verification results, and remaining completion gates.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are 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.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When more detail is needed:

    line 17
  2. Distinctive:

    When multiple runs exist for the repository, first list them:

    line 23

≈ “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.

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

Autonomous workflow status

Run:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/controller.py" status

When more detail is needed:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/controller.py" status --json

When multiple runs exist for the repository, first list them:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/controller.py" list-runs

Then inspect a specific run by ID:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/controller.py" show-run --run-id <run-id>

Pass --run-id <run-id> to status as well when you need to target one run among several active ones.

Explain the current phase, passing and failing checks, latest review verdict, remaining review budget, high-risk review requirement, and the next concrete action. Do not modify product files.

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  • It worked
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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.