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 agentmods add skills/friz-zy/ai-capability-registry/githubnpx skills add Friz-zy/ai-capability-registry --skill githubgit clone --depth 1 https://github.com/Friz-zy/ai-capability-registryWrote 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/friz-zy/ai-capability-registry/github)<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/github"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/github.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.00392 |
| Opus 5 | $0.00013 | $0.00196 |
| Sonnet 5 | $0.00005 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
github-mcp 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.
What it actually says
GitHub (Archived)
Tools for interacting with the GitHub API, enabling file operations, repository management, search functionality, and more.
When to use
- Use GitHub (Archived) only when the task directly involves the relevant service, SaaS product, platform, or technology.
Connection
Docker stdio
{
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"mcp/github"
]
}
MCP instructions
- Use the MCP tools only for the user-requested service workflow and prefer read-only operations by default.
- Confirm the target account, workspace, project, repository, or dataset before actions that can read private data or mutate remote state.
- This server requires authorization or environment-provided credentials; ask the user before connecting or requesting access.
Docker launch notes
- Launch through Docker stdio with
docker run --rm -i -e GITHUB_PERSONAL_ACCESS_TOKEN mcp/github. - Confirm required environment variables before launch: GITHUB_PERSONAL_ACCESS_TOKEN.
References
- https://github.com/modelcontextprotocol/servers
- https://github.com/docker/mcp-registry/tree/main/servers/github
Security policy
- Trust:
trusted - Default mode:
read_only - Permission default:
read_only - Authentication:
Unspecified in source metadata - Posture: Follow the declared defaults; this generated record does not replace server-specific review.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 64 lines · 26 tokens per session scan A 996901dc85f1
github-mcp is a skill published in the GitHub repository Friz-zy/ai-capability-registry (9 stars, last pushed 4d ago), licensed MIT. It adds 26 tokens to every session and 392 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
Other skills, from other repositories
github
Create issues, PRs, clone repos, and manage git workflows.
github-manager
GitHub operations - manage issues, pull requests, repositories, and workflows via GitHub API.
gh-cli
Reliably drive the GitHub gh CLI for issue, PR, and label operations in automation and subagent environments, with pre-flight verification so you never fabricate a success or a fake issue URL.
surface-after-care
Regelmäßiger Pflegedurchlauf für ein bereits veröffentlichtes GitHub-Repository (Stufe 1, günstig und oft wiederholbar): zuerst alle Distributionsflächen des Projekts ermitteln (npm, PyPI, Registries, Marketplaces, Stores, Website) und Änderungen später dorthin spiegeln, dann Topics setzen, Privacy-Gate, Dokumente auf…
c-github
Interact with GitHub using the gh CLI and jq. Manage PRs, issues, repositories, and Actions workflows. Make raw API calls with gh api for anything not covered by built-in commands.
github-actions-workflows
GitHub Actions workflow patterns for CI/CD including matrix builds, reusable workflows, secrets management, and caching strategies. Use when setting up or optimizing GitHub Actions pipelines.