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 emaraschio/cursor-commands --skill generate-pr-descriptiongit clone --depth 1 https://github.com/emaraschio/cursor-commandsWrote 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/emaraschio/cursor-commands/generate-pr-description)<a href="https://agentmods.dev/skills/emaraschio/cursor-commands/generate-pr-description"><img src="https://agentmods.dev/badge/skills/emaraschio/cursor-commands/generate-pr-description.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 | $0.00012 | $0.00343 |
| Opus 5 | $0.00006 | $0.00171 |
| Sonnet 5 | $0.00002 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
generate-pr-description 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 4d 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
Overview
Create a comprehensive pull request description based on the changes in this branch and format it as proper markdown for use in a GitHub PR description.
Steps
- Summary
- Provide a clear, concise summary of what this PR accomplishes
- Changes Made
- List the key changes made in this PR
- Include both code and non-code changes
- Highlight any breaking changes
- Testing
- Describe how the changes were tested
- Include any new test cases added
- Note any manual testing performed
- Related Issues
- Link to any related issues or tickets
- Use closing keywords if this PR resolves issues
- Additional Notes
- Any deployment considerations
- Follow-up work required
- Notes for reviewers
Generate PR Description Checklist
- Provided clear, concise summary of what this PR accomplishes
- Listed all key changes made in this PR
- Highlighted any breaking changes
- Described how the changes were tested
- Included any new test cases added
- Noted any manual testing performed
- Linked to any related issues or tickets
- Included any deployment considerations
- Noted any follow-up work required
- Formatted as proper markdown for GitHub PR
Guardrails
- Always include a test plan describing how the changes were verified.
- Use Conventional Commits style for the PR title when appropriate.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 46 lines · 12 tokens per session scan A 7d0ddb1575ea
generate-pr-description is a skill published in the GitHub repository emaraschio/cursor-commands (9 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 343 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 2026-09-03.
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