Borrowing it
Nothing to install: this file belongs to sandeep-alluru/groundcrew. 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/sandeep-alluru/groundcrew/main/.claude/commands/pr-prep.mdgit clone --depth 1 https://github.com/sandeep-alluru/groundcrewWrote 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/sandeep-alluru/groundcrew/pr-prep)<a href="https://agentmods.dev/commands/sandeep-alluru/groundcrew/pr-prep"><img src="https://agentmods.dev/badge/commands/sandeep-alluru/groundcrew/pr-prep/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/commands/sandeep-alluru/groundcrew/pr-prep"><img src="https://agentmods.dev/badge/commands/sandeep-alluru/groundcrew/pr-prep.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 | $0.00000 | $0.00184 |
| Opus 5.5 | $0.00000 | $0.00074 |
| Sonnet 5.5 | $0.00000 | $0.00037 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
pr-prep 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- pr-prep — 100% identical, 0 lines differ
- pr-prep — 100% identical, 0 lines differ
- pr-prep — 100% identical, 0 lines differ
- pr-prep — 100% identical, 0 lines differ
- pr-prep — 100% identical, 0 lines differ
- pr-prep — 100% identical, 0 lines differ
- pr-prep — 100% identical, 0 lines differ
- pr-prep — 100% identical, 0 lines differ
What it actually says
Run the full pre-PR checklist and report what's ready and what needs fixing.
Steps:
- Run lint:
make lint(ruff check + ruff format --check) - Run type check:
make typecheck(mypy) - Run tests:
make test(pytest with coverage) - Check CHANGELOG.md has an entry under [Unreleased] for this change
- Check that no debug print() statements or TODO comments were left in modified files
Report in this format: ✅ Lint — clean ✅ Types — clean ✅ Tests — 43 passed, 87% coverage ⚠️ CHANGELOG — no [Unreleased] entry found ✅ No debug artifacts
If anything fails, show the exact error and the file:line to fix. Do not mark the PR ready until all 5 checks pass.
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 · 19 lines · 0 tokens per session scan A bdaef57ccde0
pr-prep is a command published in the GitHub repository sandeep-alluru/groundcrew (0 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 184 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
gsd:pr-branch
Create a clean PR branch by filtering out .planning/ commits — ready for code review.
elegant-code-review
Review the current working diff against the elegant-code decision ladder and propose deletions, honoring the negligence floor.
prp-commit
Quick commit with natural language file targeting: describe what to commit in plain English.
validate-pr-description
Use when validating a PR title and description for conventional commit format, issue linking keywords, and template compliance before submission.
karpathy-check
Revisa as alterações em stage (ou o último commit) com base nos 4 princípios de codificação do Karpathy. Verifica complexidade, ruído no diff, suposições ocultas e verificação de objetivos. Uso: /karpathy-check [--last-commit].
review
Review code against project rules using the code-reviewer agent.