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.
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.
npx skills add github/github-mcp-server --skill repository-health-reviewgit clone --depth 1 https://github.com/github/github-mcp-serverWrote 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.
[](https://agentmods.dev/skills/github/github-mcp-server/repository-health-review)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
- Activity.
list_commitswithsinceset to ninety days ago gives commit volume and who is contributing.list_releasesgives cadence — the gaps betweenpublished_atvalues say more than the count. - 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. - Flow.
list_pull_requestswithstate: open,sort: createdanddirection: ascputs the oldest first; the age of the oldest and the shape of the distribution are the numbers worth reporting.list_issueswithstate: OPEN,orderBy: CREATED_ATanddirection: ASCdoes the same for issues. - CI reliability.
actions_listwithmethod: list_workflow_runs, filtered to the default branch, over a recent window. The ratio ofconclusion: successto failures on the default branch is the signal; failures on feature branches are expected and are not. - Maintainer coverage.
list_repository_collaboratorsshows how many people can maintain the repository. One active committer is a risk worth naming plainly. - Outstanding risk.
list_code_scanning_alertsandlist_dependabot_alertswithstate: open, counted by severity only. Do not open individual alerts here. - 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.
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.
- yesterday First seen · 86 lines · 63 tokens per session scan A 0d3b8e24961f
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.
repository-health-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| repository-health-reviewgithub/github-mcp-server | Skill | 34k | yesterday | MIT | A | 63 | Claude Code, Codex |
| error-handlingsaidsef/mcp-github-pr-issue-analyser | Skill | 6 | yesterday | Apache-2.0 | A | 19 | Claude Code, Codex |
| issue-managementsaidsef/mcp-github-pr-issue-analyser | Skill | 6 | yesterday | Apache-2.0 | A | 27 | Claude Code, Codex |
| release-managementsaidsef/mcp-github-pr-issue-analyser | Skill | 6 | yesterday | Apache-2.0 | A | 22 | Claude Code, Codex |
| user-activitysaidsef/mcp-github-pr-issue-analyser | Skill | 6 | yesterday | Apache-2.0 | A | 23 | Claude Code, Codex |
| api-requestssaidsef/mcp-github-pr-issue-analyser | Skill | 6 | yesterday | Apache-2.0 | A | 37 | Claude Code, Codex |
| interactive-uisaidsef/mcp-github-pr-issue-analyser | Skill | 6 | yesterday | Apache-2.0 | A | 18 | Claude Code, Codex |