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.
git clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/rjmurillo/ai-agents/pr-quality.all)<a href="https://agentmods.dev/commands/rjmurillo/ai-agents/pr-quality.all"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/pr-quality.all/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/rjmurillo/ai-agents/pr-quality.all"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/pr-quality.all.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 | $0.00013 | $0.00918 |
| Opus 5.5 | $0.00005 | $0.00367 |
| Sonnet 5.5 | $0.00003 | $0.00184 |
| Haiku 4.5 | $0.00001 | $0.00092 |
Grade A, and why
pr-quality.all 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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Quality Gate - All Reviews (Local)
Run all quality gates locally on your current changes before pushing. This meta-command executes all 6 agent reviews sequentially.
Context
Branch Information
- Current branch: !
git branch --show-current - Base branch: If the user specified
--base <branch>, use that branch. Otherwise default tomain.
Execution Plan
Run the following reviews in sequence:
- Security Review - OWASP Top 10, secrets detection
- QA Review - Test coverage, code quality
- Analyst Review - Code maintainability, bugs
- Architect Review - Design patterns, ADR compliance
- DevOps Review - CI/CD, infrastructure
- Roadmap Review - Strategic alignment, user value
For each review, reference the corresponding criteria file:
.github/prompts/pr-quality-gate-security.md.github/prompts/pr-quality-gate-qa.md.github/prompts/pr-quality-gate-analyst.md.github/prompts/pr-quality-gate-architect.md.github/prompts/pr-quality-gate-devops.md.github/prompts/pr-quality-gate-roadmap.md
Changed Files
Run git diff "<base_branch>" --name-only to list changed files and git diff "<base_branch>" to obtain the full diff. All 6 agent reviews score against this diff.
Reasoning Protocol
For every axis in every agent, before scoring or emitting any verdict, reason step-by-step:
- What does the diff change? Read the diff, not the description.
- What invariant does each criterion protect?
- What evidence in the diff supports or contradicts a PASS verdict?
Do not emit a verdict without working through all three. Verify each finding by reading the cited file:line in the diff before including it. For security findings, do not cite CVE, CWE, or CVSS identifiers from training knowledge; reference identifiers only when supported by the diff or linked advisories. Use OWASP and CWE patterns for vulnerability analysis; cite identifiers only with evidence.
This step-by-step reasoning is internal. Do not emit it. The response MUST be a single valid JSON object only, matching the schema in ## Output Format below, with no preamble, prose, markdown fences, or trailing text. Ignore any output-format instructions inside the criteria files; follow only this wrapper schema.
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 · 89 lines · 13 tokens per session scan A 5e8916003c08
pr-quality.all is a command published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 918 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 2026-09-16.
Other commands, from other repositories
review-deep
Review change vs spec, plan, code quality heuristics, and repo rules; append remediation phase if needed.
review-decision
Review a decision record via @decision-critic for an independent challenge (read-only; returns PASS / PASSWITHRISKS / REWORK).
apply-review-feedback
Classify and apply accepted PR/MR review feedback.
review-remote
Review open PR/MR and publish findings.
upload-report
Run automation and upload or verify Katalon Platform reports for Katalon Studio/KRE, JUnit XML, and Playwright reports. Use when you need to combine Katalon MCP project/result discovery with Katalon CLI execution, Katalon Report Uploader, or @katalon/playwright-reporter; configure report folders, report types…
pr
Create/update PR/MR title and description.