issue-maintenance

issue-maintenance is a skill for Claude Code from jerseycheese/agent-skills. It costs 81 tokens per session (6,228 once invoked), scanned A, original, MIT.

A maintenance process for a repository's open GitHub issues, which are tracked reports and requests. It reviews labels, priority, issue text, and whether bugs have enough information to reproduce.

In plain words
What is it for?
Use it to triage issues, correct labels, re-score priorities, and prepare one issue for development.
Why use it?
It keeps an issue backlog organised and identifies which issues are ready for implementation without changing source code.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the workflow-skills plugin — 34 skills shipped together

Good fit Use it to triage issues, correct labels, re-score priorities, and prepare one issue for development.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jerseycheese/agent-skills/issue-maintenance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jerseycheese/agent-skills --skill issue-maintenance
Clone the repo
git clone --depth 1 https://github.com/jerseycheese/agent-skills

Made for: Claude Code.

Or install workflow-skills, the plugin that ships this one along with the rest of its 34 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for issue-maintenance

README.md
[![agentmods](https://agentmods.dev/badge/skills/jerseycheese/agent-skills/issue-maintenance/github.svg)](https://agentmods.dev/skills/jerseycheese/agent-skills/issue-maintenance)
Your own site
<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/issue-maintenance"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/issue-maintenance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for issue-maintenance

Your own site · 80×15
<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/issue-maintenance"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/issue-maintenance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,228 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.06228
Opus 5.5 $0.00032 $0.02491
Sonnet 5.5 $0.00016 $0.01246
Haiku 4.5 $0.00008 $0.00623

Measured 6d ago against content hash ad12edcc2587, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

issue-maintenance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/issue-maintenance/SKILL.md · 379 lines

How it starts

The opening of the file, as written. The whole thing — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

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

2. Fetch the backlog and the real label set

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

Paginate past 200. Cache the label list — every --add-label below must come from it verbatim. Never invent a label. If a label this workflow wants (needs-repro, needs-info, duplicate, any priority:*) doesn't exist in this repo, skip that operation for the whole run and say so once in the report ("not configured in this repo") — don't repeat the note per issue.

2b. Establish how this repo types its issues

Pass 2 groups label coverage by issue type, so the run needs to know what a "type" is here before it can group anything. Two mechanisms exist and repos use one or the other:

  • GitHub native issue types (Bug / Feature / Task and custom ones). There is no gh issue type subcommand — since gh 2.94.0 issue types ride on the ordinary commands (--type on create/edit, a type field on list/view), and before that they were reachable only through the API. Detect them with GraphQL: gh api graphql -F owner='{owner}' -F name='{repo}' -f query='query($owner:String!,$name:String!){repository(owner:$owner,name:$name){issueTypes(first:10){nodes{id name}}}}' (gh fills {owner}/{repo} in -F values, never inside the query string). A null issueTypes or an empty nodes list means this repo has none, which is the ordinary answer for a personal-account repo — issue types are configured at organization level. Don't detect with gh api repos/{owner}/{repo}/issue-types: it can return 200 with Task / Bug / Feature on a repo that can't use them, where gh issue edit --type fails and the GraphQL mutation silently sets nothing. If the repo does have them, that is the typing mechanism: fetch the type per issue in the §2 bulk call.
  • A type label convention — epic, bug, enhancement, user-story, documentation, and so on. The convention doc from §4b usually names these outright (Narraitor's .github/labels.md has a ## Type Labels section listing exactly six). Use that list as the type mapping rather than inventing one from whatever labels happen to look type-ish.

Read the full file on GitHub · 379 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago Changed · +5 lines ad12edcc2587
  2. 8d ago Changed · -15 lines · -271 tokens per session 520dd3f5c838
  3. 28d ago Changed · +80 lines · +75 tokens per session 71ee4f7099f0
  4. 1mo ago First seen · 309 lines · 277 tokens per session scan A c9be1f2a77e4

Subscribe to this mod's changes

issue-maintenance is a skill published in the GitHub repository jerseycheese/agent-skills (3 stars, last pushed 5d ago), licensed MIT. It adds 81 tokens to every session and 6,228 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.