Borrowing it
Nothing to install: this file belongs to hlalljie/agent-workflow-presets. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hlalljie/agent-workflow-presets/main/.cursor/skills/pr/SKILL.mdgit clone --depth 1 https://github.com/hlalljie/agent-workflow-presetsWrote 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/hlalljie/agent-workflow-presets/pr)<a href="https://agentmods.dev/skills/hlalljie/agent-workflow-presets/pr"><img src="https://agentmods.dev/badge/skills/hlalljie/agent-workflow-presets/pr/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/hlalljie/agent-workflow-presets/pr"><img src="https://agentmods.dev/badge/skills/hlalljie/agent-workflow-presets/pr.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 | $0.00034 | $0.00207 |
| Opus 5.5 | $0.00014 | $0.00083 |
| Sonnet 5.5 | $0.00007 | $0.00041 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
pr 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
Pull Request
Process
- Find last merge:
git log --oneline | grep "Merge pull request" - Get commits being merged:
git log <last-merge-sha>..HEAD --oneline - Base PR title and body only on those commits — do not include work from previous PRs.
- Propose the title and body. Then stop.
- Wait for explicit approval.
- Only then run
gh pr create.
PR body format
## Summary
- What changed
- What changed
## Test plan
- [ ] Verification step
- [ ] Verification step
Rules
- Never open a PR without explicit approval.
- If there are uncommitted changes, suggest running
/commitfirst.
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 · 33 lines · 34 tokens per session scan A 11966a861369
pr is a skill published in the GitHub repository hlalljie/agent-workflow-presets (2 stars, last pushed 20d ago), licensed MIT. It adds 34 tokens to every session and 207 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.
Other skills, from other repositories
dr-review
Review the local diff against Darkroom's checklist, or address feedback on the active PR. Triggers "review my changes", "check this diff", "address PR feedback". Native /code-review handles a diff or PR without the checklist.
merge-open-prs
Review, verify (Docker by default), and auto-merge open PRs when CI, reviews, and local verification pass. Batch up to 10 PRs per run. Use when the user wants to merge all open PRs, clear the PR queue, or run /merge-open-prs.
active-review
Use when the user wants to prepare for a manual PR code review and asks for help targeting it — a terse PR summary, ranked files to read first, and paste-ready inline comment drafts with GitHub deep-links. Triggers: "active review this PR", "walk me through this PR", "help me review this", "give me inline comments to…
llm-gate
LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.
smart-commit
Run quality gates, review staged changes for issues, and create a well-crafted conventional commit. Use when saying "commit", "git commit", "save my changes", or ready to commit after making changes.
pr-review
Review and post feedback on a GitHub or Gitea pull request end-to-end: fetch the PR diff, run a multi-agent code review, and auto-post the verdict as a real PR review (approve/request-changes/comment) via the platform's API. Triggers on: 'review this PR', 'review PR #N', 'check this pull request', 'post a PR review'…