A command that runs six local checks on your code changes before you push them. The checks cover security, testing, code analysis, architecture, delivery systems, and planned work.

Use it to review all changed files against a base branch and combine the checks into one pass/fail result.

It gives you one combined pre-push review instead of running each check separately. It can identify problems before they reach a pull request.

all — Command for Claude Code by rjmurillo/ai-agents

Install

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.

Clone the repo

git clone --depth 1 https://github.com/rjmurillo/ai-agents

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/rjmurillo/ai-agents/all/github.svg)](https://agentmods.dev/commands/rjmurillo/ai-agents/all)

Your own site

<a href="https://agentmods.dev/commands/rjmurillo/ai-agents/all"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/rjmurillo/ai-agents/all"><img src="https://agentmods.dev/badge/commands/rjmurillo/ai-agents/all.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 877 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00035	$0.00877
Opus 5.5	$0.00014	$0.00351
Sonnet 5.5	$0.00007	$0.00175
Haiku 4.5	$0.00003	$0.00088

Measured 1mo ago against content hash bf030e64834f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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.

.claude/commands/pr-quality/all.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Quality Gate - All Agents

Run all 6 quality gate agents (security, QA, analyst, architect, DevOps, and roadmap) sequentially on your current changes.

Pre-flight Checks

Use the Bash tool to gather context:

Run git branch --show-current to determine the current branch
Use $ARGUMENTS as the base branch if provided, otherwise default to main
Run git diff "<base_branch>" --name-only | wc -l to count changed files

If no changes detected, exit early with PASS.

Agent Execution

Invoke each agent command using Skill tool and capture results.

Note: The base branch argument is forwarded to each sub-command.

Security Agent: /pr-quality:security $ARGUMENTS
QA Agent: /pr-quality:qa $ARGUMENTS
Analyst Agent: /pr-quality:analyst $ARGUMENTS
Architect Agent: /pr-quality:architect $ARGUMENTS
DevOps Agent: /pr-quality:devops $ARGUMENTS
Roadmap Agent: /pr-quality:roadmap $ARGUMENTS

Verdict Aggregation

Parse each agent's VERDICT: TOKEN output and merge using these rules:

Merge Logic (canonical: .claude/lib/ai_review_common/verdict.py:merge_verdicts):

ANY CRITICAL_FAIL, REJECTED, FAIL, NEEDS_REVIEW, or NON_COMPLIANT → Final: CRITICAL_FAIL
ANY WARN or PARTIAL (no critical failures) → Final: WARN
ANY UNKNOWN (no critical, no warn) → Final: UNKNOWN
ALL PASS or COMPLIANT → Final: PASS
Empty input → Final: UNKNOWN

UNKNOWN downgrades a would-be PASS so a missing or crashed axis cannot silently produce a green verdict. Real WARN and CRITICAL_FAIL findings override UNKNOWN.

Output Summary

Generate consolidated report in EXACTLY this format. Do not add preambles or explanations before the table:

Agent	Verdict	Status	Key Findings
🔒 Security	[verdict]	[emoji]	[summary]
🧪 QA	[verdict]	[emoji]	[summary]
📊 Analyst	[verdict]	[emoji]	[summary]
📐 Architect	[verdict]	[emoji]	[summary]
⚙️ DevOps	[verdict]	[emoji]	[summary]
🗺️ Roadmap	[verdict]	[emoji]	[summary]

Read the full file on GitHub · 82 lines

Changes

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 · 82 lines · 35 tokens per session scan A bf030e64834f

Subscribe to this mod's changes

all is a command published in the GitHub repository rjmurillo/ai-agents (49 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 877 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.

CI and CD Planning Security Testing agentic-ai ai-agents ai-assistant anthropic-claude automation

write-test-plan

Generate or update change test plan.

juliusz-cwiakalski/agentic-delivery-os · 6 tokens

check

Run this repo's quality gates script and summarize results via the run-logs-runner.

juliusz-cwiakalski/agentic-delivery-os · 18 tokens

check-fix

Execute quality gates, fix any issues found, and create a single high-quality Conventional Commit summarizing all changes made.

juliusz-cwiakalski/agentic-delivery-os · 23 tokens

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…

katalon-labs/true-skills · 128 tokens

test-gate

Deterministic deploy-gate — verify a staging→main bundle's acceptance criteria against running code before deploy.

RapierCraftStudios/ForgeDock · 21 tokens

qa-sweep

Full platform QA sweep — auto-discovers every page, tests every UI element via browser automation, creates GitHub issues for all findings.

RapierCraftStudios/ForgeDock · 26 tokens