repository-health-review

repository-health-review is a skill for Claude Code, Codex from github/github-mcp-server. It costs 63 tokens per session (1,072 once invoked), scanned A, original, MIT.

A read-only review of a repository's overall maintenance condition. It examines activity, releases, branches, issues, proposed changes, build reliability, maintainers, and security alerts.

In plain words
What is it for?
It helps assess release cadence, contributor activity, stale branches, issue and pull-request queues, workflow reliability, and outstanding alerts.
Why use it?
It replaces a narrow impression of project health with evidence from several independent signals.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit It helps assess release cadence, contributor activity, stale branches, issue and pull-request queues, workflow reliability, and outstanding alerts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/github/github-mcp-server/repository-health-review
About the project

GitHub MCP Server is GitHub's official Model Context Protocol server, which lets AI tools interact with GitHub repositories and development data. It is used to browse code, manage issues and pull requests, inspect automation runs, review security findings, and support other repository workflows through natural-language requests. The catalogue add-ons connect coding agents to these GitHub capabilities.

github/github-mcp-server · 34,473 stars · on GitHub

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 github/github-mcp-server --skill repository-health-review
Clone the repo
git clone --depth 1 https://github.com/github/github-mcp-server

Made for: Claude Code, Codex.

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 repository-health-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/github/github-mcp-server/repository-health-review/github.svg)](https://agentmods.dev/skills/github/github-mcp-server/repository-health-review)
Your own site
<a href="https://agentmods.dev/skills/github/github-mcp-server/repository-health-review"><img src="https://agentmods.dev/badge/skills/github/github-mcp-server/repository-health-review/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 repository-health-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/github/github-mcp-server/repository-health-review"><img src="https://agentmods.dev/badge/skills/github/github-mcp-server/repository-health-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,072 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 $0.00063 $0.01072
Opus 5.5 $0.00025 $0.00429
Sonnet 5.5 $0.00013 $0.00214
Haiku 4.5 $0.00006 $0.00107

Measured yesterday against content hash 0d3b8e24961f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

repository-health-review 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 yesterday.

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.

pkg/skills/catalog/skills/repository-health-review/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assessing repository health

Produce an evidence-backed picture of how a repository is doing across a few independent dimensions.

This workflow makes no changes. Every tool it uses is read-only. If a specific issue, alert or pull request needs action, that is separate work — name it and hand it over rather than starting it here.

Sequence

Gather each dimension independently, so one unavailable source does not sink the report.

  1. Activity. list_commits with since set to ninety days ago gives commit volume and who is contributing. list_releases gives cadence — the gaps between published_at values say more than the count.
  2. Branch hygiene. list_branches, then check the age of each branch's head commit. Many long-untouched branches usually mean the project does not prune, which is a mild signal on its own and a stronger one alongside slow pull request flow.
  3. Flow. list_pull_requests with state: open, sort: created and direction: asc puts the oldest first; the age of the oldest and the shape of the distribution are the numbers worth reporting. list_issues with state: OPEN, orderBy: CREATED_AT and direction: ASC does the same for issues.
  4. CI reliability. actions_list with method: list_workflow_runs, filtered to the default branch, over a recent window. The ratio of conclusion: success to failures on the default branch is the signal; failures on feature branches are expected and are not.
  5. Maintainer coverage. list_repository_collaborators shows how many people can maintain the repository. One active committer is a risk worth naming plainly.
  6. Outstanding risk. list_code_scanning_alerts and list_dependabot_alerts with state: open, counted by severity only. Do not open individual alerts here.
  7. Report per dimension, each with the numbers behind it, and state which dimensions could not be assessed.

Decision points

  • Absent history is not poor health. A repository with few commits, no releases and no alerts may be new. Say insufficient history rather than scoring it.
  • Low activity is not decay. A stable, finished library should look quiet. Weigh activity against open issues and unanswered pull requests, not on its own.
  • What counts as stale depends on the project's own cadence. Derive the threshold from its release and merge intervals rather than importing a fixed number, and state the threshold you used.
  • When to stop. This produces an assessment. If it surfaces something urgent — a critical alert, a default branch that has been failing for weeks — name it clearly and hand it over.

Read the full file on GitHub · 86 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. yesterday First seen · 86 lines · 63 tokens per session scan A 0d3b8e24961f

Subscribe to this mod's changes

repository-health-review is a skill published in the GitHub repository github/github-mcp-server (34,473 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 1,072 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 2026-11-14.

Related

repository-health-review compared with skills from other repositories

repository-health-review next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
repository-health-reviewgithub/github-mcp-serverSkill34kyesterdayMITA63Claude Code, Codex
error-handlingsaidsef/mcp-github-pr-issue-analyserSkill6yesterdayApache-2.0A19Claude Code, Codex
issue-managementsaidsef/mcp-github-pr-issue-analyserSkill6yesterdayApache-2.0A27Claude Code, Codex
release-managementsaidsef/mcp-github-pr-issue-analyserSkill6yesterdayApache-2.0A22Claude Code, Codex
user-activitysaidsef/mcp-github-pr-issue-analyserSkill6yesterdayApache-2.0A23Claude Code, Codex
api-requestssaidsef/mcp-github-pr-issue-analyserSkill6yesterdayApache-2.0A37Claude Code, Codex
interactive-uisaidsef/mcp-github-pr-issue-analyserSkill6yesterdayApache-2.0A18Claude Code, Codex