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 jnsahaj/skills --skill gagit clone --depth 1 https://github.com/jnsahaj/skillsWrote 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/jnsahaj/skills/ga)<a href="https://agentmods.dev/skills/jnsahaj/skills/ga"><img src="https://agentmods.dev/badge/skills/jnsahaj/skills/ga/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/jnsahaj/skills/ga"><img src="https://agentmods.dev/badge/skills/jnsahaj/skills/ga.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 | $0.00050 | $0.00759 |
| Opus 5 | $0.00025 | $0.00380 |
| Sonnet 5 | $0.00010 | $0.00152 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
ga 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 9d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 9d ago First seen · 63 lines · 50 tokens per session scan A 3791f0097b20
ga is a skill published in the GitHub repository jnsahaj/skills (56 stars, last pushed 2mo ago), with no licence file. It adds 50 tokens to every session and 759 once invoked, about $0.0003 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.
Other skills, from other repositories
review-loop
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create-pr
Generates a short, narrative GitHub pull request description (≤ 25 lines, hard ceiling 40), pushes the branch, opens the PR as a draft, then runs review-loop (pr-reviewer → implement-suggestion → polish simplify, up to 5 iterations) until every review thread is resolved via fix or reply. Scale down with --no-review…
autonomous-workflow
The phase-based machinery (0–7) behind the aw dispatcher — task intake through tested PR delivery in an isolated Git worktree, with optional companion skills for planning, quality gates, TDD, UX, code quality, docs, and CI verification. Companions skip silently if not installed. NOT the entry point and not…
implement-suggestion
Implements review-comment suggestions across one or more PRs. Multi-PR mode (default when $ARGUMENTS contains PR URLs; empty $ARGUMENTS auto-detects the active PR) per PR: resolves a worktree, fetches every actionable comment from both human teammates AND AI code-review bots (claude[bot], coderabbitai[bot], …)…
changelog
Generates a personal markdown changelog of merged or closed pull requests authored by the current user and Linear tickets the user closed or worked on, over a configurable window (default 7 days), grouped by feature area (e.g. Dashboards, Agent0). Inputs sourced from gh search prs --author=@me and the Linear MCP. Use…
pr-review
One-shot read-only review of a GitHub PR — dispatches the pr-reviewer agent and reports its verdict and findings without touching your code. The short entry point for "review this PR" when you do not want an apply-and-converge loop. Also writes maintainer relevance rules via /pr-review remember . Invoke with…