github

github is a skill for Claude Code from rjmurillo/ai-agents. It costs 90 tokens per session (6,366 once invoked), scanned A, original, MIT.

A set of scripts for working with GitHub, the service where teams host code and collaborate through pull requests and issues. It handles common operations with structured results and error handling.

In plain words
What is it for?
Use it to create pull requests, reply to review comments, check CI results, close issues, manage labels, and work with milestones.
Why use it?
It gives these GitHub actions a consistent way to run and report errors instead of relying on ad hoc commands. It also checks which connection method is available before making a request.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT variable. Also seen: mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the project-toolkit plugin — 125 skills, 25 commands, 33 agents, 5 hooks shipped together

Good fit Use it to create pull requests, reply to review comments, check CI results, close issues, manage labels, and work with milestones.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add rjmurillo/ai-agents
Claude Code
/plugin install project-toolkit

Made for: Claude Code.

Or install project-toolkit, the plugin that ships this one along with the rest of its 125 skills, 25 commands, 33 agents, 5 hooks.

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 github

README.md
[![agentmods](https://agentmods.dev/badge/skills/rjmurillo/ai-agents/github/github.svg)](https://agentmods.dev/skills/rjmurillo/ai-agents/github)
Your own site
<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/github"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/github/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 github

Your own site · 80×15
<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/github"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/github.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,366 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 $0.00090 $0.06366
Opus 5.5 $0.00036 $0.02546
Sonnet 5.5 $0.00018 $0.01273
Haiku 4.5 $0.00009 $0.00637

Measured 3d ago against content hash 75857189bb9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github 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 3d ago.

The scan reads SKILL.md. This mod also ships 44 executable files (scripts/gh-native/add-comment-reaction.sh, scripts/gh-native/get-pr-context.sh, scripts/gh-native/post-issue-comment.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/github/SKILL.md · 472 lines

How it starts

The opening of the file, as written. The whole thing — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Skill

Use these scripts instead of raw gh commands for consistent error handling and structured output.


Triggers

Phrase Operation
create a PR new_pr.py
respond to review comments post_pr_comment_reply.py
check CI status get_pr_checks.py / get_pr_check_logs.py
close issue close_issue.py
add label to issue set_issue_labels.py

Transport Preflight

gh can be installed, hold a token, and still be refused for a whole session (agent sandboxes that proxy egress do this). Decide the transport once, before the first GitHub call:

# CLAUDE_PLUGIN_ROOT is set in a vendored install; falls back to .claude in-repo.
SCRIPTS_DIR="${COPILOT_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT:-.claude}}/skills/github/scripts/utils"
python3 "$SCRIPTS_DIR/check_github_transport.py"

Non-POSIX hosts do not run the block above. The authoritative, per-harness launcher for this one command is check_transport in the scripts map of pr-review-config.yaml: the copilot entry runs it under PowerShell and resolves the interpreter (python3, then py -3, then python), because a Windows host may expose only the launcher. Read it from the map for the harness you are on rather than transcribing a second copy here, which would drift.

  • Transport: gh (exit 0). Use the scripts below. This is CI and a normal developer machine.
  • Transport: gh_unusable (exit 0). gh cannot reach GitHub here. Route the work through the GitHub MCP operations and do not re-try the scripts to confirm. The verdict names only what was measured: confirm the operations you need are exposed before relying on them. Tool spelling differs by harness (mcp__github__<op> in Claude Code, github/<op> in Copilot CLI).
  • Exit 3 or 4. Not a transport problem: a quota window or a fixable token.

Script-to-tool mapping, the operations with no MCP equivalent, and the rules for reporting one: references/transport-routing.md.

Read the full file on GitHub · 472 lines

Files

What ships with it

60 files 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.

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. 3d ago Changed · +3 lines 75857189bb9c
  2. 4d ago Changed · +2 lines 09e1b95dccde
  3. 5d ago Changed · +2 lines e3a1e04309bc
  4. 10d ago Changed b71e9f624c17
  5. 14d ago Changed · +2 lines b4e6bfbe86e7
  6. 17d ago Changed · +7 lines 1f53c452dadd
  7. 18d ago Changed a525f9b2ebeb
  8. 19d ago Changed · +22 lines ffcc1ae8052e
  9. 20d ago Changed · +27 lines a59f5ab1832d
  10. 22d ago First seen · 407 lines · 90 tokens per session scan A 6b6a6659483c

Subscribe to this mod's changes

github is a skill published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 6,366 once invoked, about $0.0004 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 2026-09-03.

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