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 commands/scenario-labs/skills/pr-summarygit clone --depth 1 https://github.com/scenario-labs/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/commands/scenario-labs/skills/pr-summary)<a href="https://agentmods.dev/commands/scenario-labs/skills/pr-summary"><img src="https://agentmods.dev/badge/commands/scenario-labs/skills/pr-summary.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 5.1 | $0.00000 | $0.00193 |
| Opus 5 | $0.00000 | $0.00097 |
| Sonnet 5 | $0.00000 | $0.00039 |
| Haiku 4.5 | $0.00000 | $0.00019 |
Grade A, and why
pr-summary 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 6d 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
Update the current PR description with a fresh summary.
- Run
git fetch origin main --quiet && git diff --stat $(git merge-base HEAD origin/main)..HEADfor change stats - Run
git log --oneline $(git merge-base HEAD origin/main)..HEADfor all commits - Run
pnpm run validate 2>&1 | tail -15for validation status (house style, skill supporting files, spelling, skills-ref spec validation) - Generate an updated PR body with:
- Summary section (3-5 bullet points of key changes)
- Validation section (checked items for what passed)
- Stats (files changed, skills touched)
- Remember this is a public repository: the PR body must contain only publicly shareable language (see AGENTS.md, "Public content only")
- Update the PR with
gh pr edit --body "..." - Tell me the PR URL
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.
- 6d ago First seen · 13 lines · 0 tokens per session scan A 9b03ead7129f
pr-summary is a command published in the GitHub repository scenario-labs/skills (10 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 193 tokens. 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.
Other commands, from other repositories
release
Command "release" from voodootikigod/skills-check, covering arguments and steps.
github-swarm
Create a specialized swarm for GitHub repository management.
pr-enhance
Command "pr-enhance" from smith-horn/skillsmith, covering pr-enhance, usage, options, examples and fetch/manage pr data via the cli escape hatch.
commit-push-pr
Commit, push, and open a PR.
devkit.github.review-pr
Provides comprehensive GitHub pull request review with code quality, security, and best practices analysis. Use when reviewing a PR before merging.
repo-architect
Repository structure optimization and multi-repo management with ruv-swarm coordination for scalable project architecture and development workflows.