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/aiosai/aipass/githubnpx skills add AIOSAI/AIPass --skill githubgit clone --depth 1 https://github.com/AIOSAI/AIPassWhat 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 | $0.00023 | $0.01016 |
| Opus 5 | $0.00012 | $0.00508 |
| Sonnet 5 | $0.00005 | $0.00203 |
| Haiku 4.5 | $0.00002 | $0.00102 |
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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Skill
Use the gh CLI to interact with GitHub repositories, issues, PRs, and CI.
When to Use
USE this skill when:
- Checking PR status, reviews, or merge readiness
- Viewing CI/workflow run status and logs
- Creating, closing, or commenting on issues
- Creating or merging pull requests
- Querying GitHub API for repository data
- Listing repos, releases, or collaborators
When NOT to Use
DON'T use this skill when:
- Local git operations (commit, push, pull, branch) -> use
gitdirectly - Non-GitHub repos (GitLab, Bitbucket, self-hosted) -> different CLIs
- Cloning repositories -> use
git clone - Reviewing actual code changes -> use
coding-agentskill - Complex multi-file diffs -> use
coding-agentor read files directly
Setup
# Authenticate (one-time)
gh auth login
# Verify
gh auth status
Common Commands
Pull Requests
# List PRs
gh pr list --repo owner/repo
# Check CI status
gh pr checks 55 --repo owner/repo
# View PR details
gh pr view 55 --repo owner/repo
# Create PR
gh pr create --title "feat: add feature" --body "Description"
# Merge PR
gh pr merge 55 --squash --repo owner/repo
Issues
# List issues
gh issue list --repo owner/repo --state open
# Create issue
gh issue create --title "Bug: something broken" --body "Details..."
# Close issue
gh issue close 42 --repo owner/repo
CI/Workflow Runs
# List recent runs
gh run list --repo owner/repo --limit 10
# View specific run
gh run view <run-id> --repo owner/repo
# View failed step logs only
gh run view <run-id> --repo owner/repo --log-failed
# Re-run failed jobs
gh run rerun <run-id> --failed --repo owner/repo
API Queries
# Get PR with specific fields
gh api repos/owner/repo/pulls/55 --jq '.title, .state, .user.login'
# List all labels
gh api repos/owner/repo/labels --jq '.[].name'
# Get repo stats
gh api repos/owner/repo --jq '{stars: .stargazers_count, forks: .forks_count}'
JSON Output
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.
- 2d ago First seen · 151 lines · 23 tokens per session scan A 287cf2208822
github is a skill published in the GitHub repository AIOSAI/AIPass (264 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 1,016 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 2026-08-30.
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