Borrowing it
Nothing to install: this file belongs to ashaychangwani/imprint. 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/ashaychangwani/imprint/main/.agents/skills/pr/SKILL.mdgit clone --depth 1 https://github.com/ashaychangwani/imprintWrote 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/ashaychangwani/imprint/pr)<a href="https://agentmods.dev/skills/ashaychangwani/imprint/pr"><img src="https://agentmods.dev/badge/skills/ashaychangwani/imprint/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/ashaychangwani/imprint/pr"><img src="https://agentmods.dev/badge/skills/ashaychangwani/imprint/pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.00417 |
| Opus 5.5 | $0.00007 | $0.00167 |
| Sonnet 5.5 | $0.00004 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00042 |
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 2mo 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
PR Skill
Open a pull request for the current branch with proper conventions.
Step 1 — Pre-flight checks
Run these in parallel and report results:
bun run lint
bun run typecheck
bun test
If any fail, show the errors and ask the user whether to proceed or fix first.
Step 2 — Gather context
Run these to understand the branch:
git branch --show-current— current branch namegit log main..HEAD --oneline— commits on this branchgit diff main..HEAD --stat— files changed
Step 3 — Determine PR title
The PR title must be a conventional commit format: <type>(<scope>): <description>
Pick type and scope the same way as the /commit skill, but based on the overall branch intent (not individual commits).
Step 4 — Write PR description
Use this structure:
## Summary
- Bullet 1: what changed and why
- Bullet 2: key design decisions
- Bullet 3: anything reviewers should pay attention to
## Test plan
- [ ] Tests pass locally
- [ ] Specific scenario tested
Step 5 — Check remote
Run git remote -v and git rev-parse --abbrev-ref --symbolic-full-name @{u} 2>/dev/null to check if the branch is pushed.
If not pushed, run git push -u origin <branch>.
Step 6 — Create PR
gh pr create --title "<title>" --body "$(cat <<'EOF'
<body>
EOF
)"
Show the PR URL to the user when done.
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.
- 2mo ago First seen · 72 lines · 18 tokens per session scan A b5914b723b9d
pr is a skill published in the GitHub repository ashaychangwani/imprint (24 stars, last pushed 15d ago), licensed MIT. It adds 18 tokens to every session and 417 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 2026-08-30.
Other skills, from other repositories
release-pr-review
Review pass on an open release PR (release/ → main) — the step between git-wrapup and release-and-publish when a project releases in gated release PR mode. Reads the PR's commit range through the code-simplifier lens plus a correctness review, verifies whatever an automated reviewer left on the PR, lands fixes as…
github
GitHub via gh CLI: PRs, issues, reviews, repos, auth.
otto-pr-review-loop
Run Polly and OCR on a PR until all findings settle.
resolve-drive-pr
Drive an open PR through Polly/OCR, validation, and maintainer handoff.
github
GitHub operations via gh CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available)…
issue-to-pr-resolver
Implement a GitHub issue end-to-end — create a worktree branch, implement the feature with tests, create a draft PR, then iteratively resolve all CI failures and review comments until the PR is clean. Use when you need to fully implement a GitHub issue from start to merge-ready. Triggers on "implement issue", "resolve…