Borrowing it
Nothing to install: this file belongs to PackmindHub/skillsight. 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/PackmindHub/skillsight/main/.claude/commands/pre-pr-quality-check.mdgit clone --depth 1 https://github.com/PackmindHub/skillsightWrote 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/packmindhub/skillsight/pre-pr-quality-check)<a href="https://agentmods.dev/commands/packmindhub/skillsight/pre-pr-quality-check"><img src="https://agentmods.dev/badge/commands/packmindhub/skillsight/pre-pr-quality-check/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/packmindhub/skillsight/pre-pr-quality-check"><img src="https://agentmods.dev/badge/commands/packmindhub/skillsight/pre-pr-quality-check.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 | $0.00050 | $0.00414 |
| Opus 5.5 | $0.00020 | $0.00166 |
| Sonnet 5.5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
pre-pr-quality-check 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
Pre-PR Quality Check
Run every gate locally before opening a pull request so CI passes on the first try. CI (.github/workflows/ci.yml) runs lint, test, build, and a Docker image build — but it does not run typecheck, so type errors can slip past CI entirely. This command runs the CI gates plus typecheck to close that gap.
When to Use
- Before creating a pull request against
main. - After finishing a feature, to confirm CI will pass.
- When CI fails and you want to reproduce it locally.
Checkpoints
- Are dependencies installed with a frozen lockfile (
bun install --frozen-lockfile), matching CI? - For the Docker step, is the Docker daemon running locally?
Steps
1. Install dependencies (match CI)
Run bun install --frozen-lockfile so your local tree matches what CI resolves.
2. Lint
Run bun run lint (Biome across backend + frontend). Use bun run check in frontend/ if you also want format checking.
3. Type check (CI gap — do not skip)
Run bun run typecheck. CI does not run this, so it is the most common source of a green CI followed by a broken main.
4. Test
Run bun run test (Bun test runner across all packages).
5. Build
Run bun run build (Vite frontend, then Bun backend build).
6. Optional: production Docker image
If your change touches the Dockerfile or runtime, mirror the CI docker-build job: docker build -t skillsight:ci ..
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 · 45 lines · 50 tokens per session scan A 66c7cc48d31e
pre-pr-quality-check is a command published in the GitHub repository PackmindHub/skillsight (9 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 414 once invoked, about $0.0002 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 commands, from other repositories
vios-sqa
VIOS SQA agent — build containers, deploy, run BDD tests, and validate web UI.
implementar
Ejecutar tareas TDD fase por fase dentro de Docker hasta que todos los tests pasen.
test
Enter TEST phase and run full-project tests only when the user explicitly requests TEST phase.
create-docker-mcp-tunnel
Stand up an Anthropic MCP tunnel locally with Docker Compose so Claude can call a private MCP server (manual-credentials quickstart).
test-tdd
Run when user calls /test-tdd. Scans modified files, locates their corresponding unit/integration test suites, and runs them.
ijfw-audit
Run the IJFW audit gate for the current workflow phase. Usage: /ijfw-audit [phase name].