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 Supersynergy/awesome-agentic-coding --skill githubgit clone --depth 1 https://github.com/Supersynergy/awesome-agentic-codingWrote 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/supersynergy/awesome-agentic-coding/github)<a href="https://agentmods.dev/skills/supersynergy/awesome-agentic-coding/github"><img src="https://agentmods.dev/badge/skills/supersynergy/awesome-agentic-coding/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.
<a href="https://agentmods.dev/skills/supersynergy/awesome-agentic-coding/github"><img src="https://agentmods.dev/badge/skills/supersynergy/awesome-agentic-coding/github.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 | $0.00037 | $0.00487 |
| Opus 5.5 | $0.00015 | $0.00195 |
| Sonnet 5.5 | $0.00007 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00049 |
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 1mo 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.
What it actually says
GitHub CLI Operations
Execute GitHub operations using the gh CLI for: $ARGUMENTS
Command Reference
Issues
gh issue list # List open issues
gh issue list --state closed --limit 10 # Recent closed
gh issue view 123 # View issue details
gh issue create --title "..." --body "..." # Create issue
gh issue comment 123 --body "..." # Comment
gh issue close 123 # Close
Pull Requests
gh pr list # List open PRs
gh pr view 123 # View PR details
gh pr checks 123 # CI status
gh pr diff 123 # View diff
gh pr create --title "..." --body "..." # Create PR
gh pr merge 123 --squash # Merge
gh pr review 123 --approve # Approve
Code Search
gh search code "pattern" --repo owner/repo # Search code
gh search repos "query" --language ts # Search repos
gh api search/code -f q="pattern+repo:org/repo" # API search
Actions / CI
gh run list # Recent runs
gh run view 123 # Run details
gh run view 123 --log-failed # Failed step logs
gh run rerun 123 # Rerun
API (raw)
gh api repos/owner/repo/pulls/123/comments # Any API endpoint
gh api graphql -f query='{ viewer { login }}' # GraphQL
Rules
- Use
--jsonflag for structured output when parsing is needed - Use
--limitto avoid overwhelming output - For PR creation, use heredoc for body formatting
- Never force-push or delete branches without user confirmation
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.
- 1mo ago First seen · 62 lines · 37 tokens per session scan A 95f36fa63949
github is a skill published in the GitHub repository Supersynergy/awesome-agentic-coding (1 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 487 once invoked, about $0.0001 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 2026-08-31.
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