issue-maintenance SKILL.md skillA

issue-maintenance from jerseycheese/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jerseycheese/agent-skills/issue-maintenance@git:20261018.66c835c

Pins git:20261018.66c835c in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jerseycheese/agent-skills
Path
skills/issue-maintenance/SKILL.md
Versions recorded
8
Latest version
git:20261018.66c835c, committed Oct 18, 2026
First version recorded
Aug 17, 2026
Size
26,167 bytes
Repository stars
3
License
MIT

Writes to a repo's open GitHub issues: fixes type and lifecycle labels, re-scores priority, fills sizing labels, cleans up issue prose, and proposes merging clusters of small issues. Auto-applies safe changes, flags the rest. Trigger on: "run issue maintenance", "tidy the backlog", "re-prioritize open issues", "consolidate small issues".

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 Maintenance

`prioritize-issues` reports; `analyze-issue` specs out one issue for implementation. This skill
maintains — it mutates the backlog: labels, priority, and issue text. Five passes, one report.

## 0. Prerequisites

- `gh` authenticated for the target repo. If `gh` isn't installed (some hosted/cloud sessions),
  every step below has a GitHub MCP equivalent (`mcp__github__list_issues`, `issue_read`,
  `issue_write`, `get_label`) — same data, different transport. Say which you used in the report.
- No repo clone. Everything here is issue metadata (title, body, comments, labels) via `gh issue`
  — skip the `mktemp -d` / `gh repo clone` step entirely, unlike `code-health-audit`'s and
  `plain-language-audit`'s scheduled pattern. This skill never touches source files. The one
  exception is the label-convention doc in §4b, which is a single API file read, not a clone.

## 1. Discover the repo

```bash
gh repo view --json nameWithOwner -q .nameWithOwner   # if not specified
```

## 2. Fetch the backlog and the real label set

```bash
gh issue list --state open --limit 200 --json number,title,labels,createdAt,updatedAt,body,milestone,comments
gh label list
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jerseycheese/agent-skills/issue-maintenance@sha256:ad12edcc25877d06

The line at the top of this page pins the label git:20261018.66c835c, 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_l2yo2y2pr5pa7uik.svg)](https://markdownregistry.com/a/art_l2yo2y2pr5pa7uik)

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

Versions

The registry has recorded 8 versions of this file, between Aug 17, 2026 and Oct 18, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
git:20261018.66c835c latest2026-10-18 66c835c 26,167 BA view · diff
git:20261018.64a8f872026-10-18 64a8f87 26,007 BA view · diff
git:20261016.04e815b2026-10-16 04e815b 25,714 BA view · diff
git:20260926.9bb0b902026-09-26 9bb0b90 27,078 BA view · diff
git:20260926.9fc7e242026-09-26 9fc7e24 24,581 BA view · diff
git:20260817.d8785302026-08-17 d878530 20,494 BA view · diff
git:20260817.c1334972026-08-17 c133497 19,459 BA view · diff
git:20260817.1e1945a2026-08-17 1e1945a 14,741 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (26167 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

jerseycheese/agent-skills · 3 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l2yo2y2pr5pa7uik
GET https://markdownregistry.com/api/v1/resolve?ref=jerseycheese/agent-skills/issue-maintenance
GET https://markdownregistry.com/api/v1/blob/ad12edcc25877d06310c2097e014fa10714cfdf7baf3436cbe2b0daec1c469ce

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: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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