AGENTS.md@ai/skills/issue-groomingA

AGENTS.md@ai/skills/issue-grooming from sfc-gh-eraigosa/dotfiles is an AGENTS.md file: the standing instructions coding agents read in that repo.

Install it, pinned
mdr add sfc-gh-eraigosa/dotfiles/ai/skills/issue-grooming/AGENTS.md@git:20261019.0b11bce

Pins git:20261019.0b11bce in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 14 of 14 checks passed
Kind
AGENTS.md file
Repository
sfc-gh-eraigosa/dotfiles
Path
ai/skills/issue-grooming/AGENTS.md
Versions recorded
1
Latest version
git:20261019.0b11bce, committed Oct 19, 2026
Size
1,179 bytes
Repository stars
53
License
Apache-2.0

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# issue-grooming skill

Grooms a repo's open GitHub issues against what actually shipped: verifies each issue against
`main`, merged PRs and `docs/mbo/index.md`, assigns one `priority:1..5` label (1 = most
important), closes addressed/obsolete issues with evidence comments, and refreshes stale bodies
(original folded under `<details>`).

Agent-facing instructions: [`SKILL.md`](./SKILL.md). Scripts (`bash scripts/<name>.sh`):

| Script | Does |
| :-- | :-- |
| `groom-snapshot.sh` | read-only dump: open issues (+comments), labels, merged PRs with closing refs, first-cut clusters |
| `groom-labels.sh` | idempotently creates `priority:1`…`priority:5` with the rubric in their descriptions |
| `groom-apply.sh` | applies a reviewed `verdicts.json`: labels, closes, body refreshes; `--dry-run`, `--only`, `applied.log` |
| `groom-report.sh` | renders `verdicts.json` as the markdown summary (counts + one table per verdict) |

`references/verdict-schema.md` is the JSON contract between the triage subagents and the
scripts. `evals/evals.json` holds the trigger/behaviour cases (`make skill-evals`). First run:
2026-10-16, 77 open issues (the pass that produced this skill).

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add sfc-gh-eraigosa/dotfiles/ai/skills/issue-grooming/AGENTS.md@sha256:7f1458cff955adc3

The line at the top of this page pins the label git:20261019.0b11bce, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_o7sfmkxkwenrs42z.svg)](https://markdownregistry.com/a/art_o7sfmkxkwenrs42z)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 19, 2026.

versioncommittedcommitsizeaudit
git:20261019.0b11bce latest2026-10-19 0b11bce 1,179 BA view

Audit of the latest version

A  14 of 14 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Size between 200 bytes and 200 KB (1179 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

sfc-gh-eraigosa/dotfiles · 53 stars · license Apache-2.0 · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_o7sfmkxkwenrs42z
GET https://markdownregistry.com/api/v1/resolve?ref=sfc-gh-eraigosa/dotfiles/ai/skills/issue-grooming/AGENTS.md
GET https://markdownregistry.com/api/v1/blob/7f1458cff955adc33a937effaf8dc18db3c7d6c03b278941dd953e2eb3746a3d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: how to write a good AGENTS.md · AGENTS.md vs CLAUDE.md · which agent file does what.

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