agentleFS
ccomkhjccomkhj/skills/pr-report/SKILL.md

pr-report

Skill10 starsChanged 19 days agoMITView on GitHub

PR health report for a GitHub repo: open queue, review, size, flow.

8 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 8 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No repo → the current one.

    line 19
  2. Very specific:

    If the output says +N more, offer --html: the full queue grouped by who it waits on, with links and a size × cycle-time chart.

    line 25
  3. Very specific:

    Read from a commit status with context pr-classify on the PR's head commit (description safe to merge / nice to review / reject to merge).

    line 39

“Common” is measured: kept by at least 6 in 10 of the 8 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

pr-report

PRs that sit are invisible until someone asks. Cycle time only counts PRs that merged, so a dashboard that leads with it looks healthy while the queue rots. This report leads with the open queue (who each PR is waiting on), then flow, review, risk, and the contribution workflow (/pr → /pr-classify).

Run

python3 -I ${CLAUDE_SKILL_DIR}/scripts/pr_report.py [owner/repo] [--all] [--html]

No repo → the current one. Use a 300000 ms Bash timeout: busy repos take up to ~1 min. Read-only: it never writes to GitHub.

Relay

  • Paste stdout verbatim. Bash output is collapsed in the UI, and the numbers only mean something with their n, grade and N/A markers; a paraphrase drops those and turns N/A into 0.
  • Then at most 3 "do next" lines, each naming a PR number or a person from a 🔴 row. Don't add metrics the script didn't compute.
  • If the output says +N more, offer --html: the full queue grouped by who it waits on, with links and a size × cycle-time chart.

Why the numbers look the way they do

  • Median and p75 with n, never the mean. PR times are heavily skewed. Below n=10 the raw values are listed ungraded; grades start at n≥20.
  • N/A is not 0. A repo with no CI has no "0% red CI".
  • Solo mode hides pickup and review rows: when one author self-merges everything, the PR is a merge button, not a queue. PR coverage and /pr adoption replace them.
  • Bots and AI reviewers are counted apart. They review in minutes and would make pickup look elite.
  • Idle comes from human events, not updatedAt, which bots and label changes keep fresh.

Definitions, thresholds and sources: references/metrics.md.

/pr-classify verdicts

Read from a commit status with context pr-classify on the PR's head commit (description safe to merge / nice to review / reject to merge). Until pr-classify writes one, that row shows N/A.

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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.