agentmods.dev

all

all is a command for Claude Code from rjmurillo/ai-agents. It costs 35 tokens per session (877 once invoked), scanned A, original, MIT.

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.

In plain words
What is it for?
Use it to review all changed files against a base branch and combine the checks into one pass/fail result.
Why use it?
It gives you one combined pre-push review instead of running each check separately. It can identify problems before they reach a pull request.

Command for Claude Code

Part of the project-toolkit plugin — 22 commands, 33 agents shipped together

not rated 45 today A scan 35 tokens original MIT
View the source file 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.

agentmods
npx agentmods add commands/rjmurillo/ai-agents/all
Clone the repo
git clone --depth 1 https://github.com/rjmurillo/ai-agents

Made for: Claude Code.

Or install project-toolkit, the plugin that ships this one along with the rest of its 22 commands, 33 agents.

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.

agentmods badge for all

README.md
[![agentmods](https://agentmods.dev/badge/commands/rjmurillo/ai-agents/all.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.svg" alt="Measured on agentmods" 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. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00035 $0.00877
Opus 5 $0.00017 $0.00439
Sonnet 5 $0.00007 $0.00175
Haiku 4.5 $0.00003 $0.00088

Measured 4d ago against content hash bf030e64834f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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:

  1. Run git branch --show-current to determine the current branch
  2. Use $ARGUMENTS as the base branch if provided, otherwise default to main
  3. 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.

  1. Security Agent: /pr-quality:security $ARGUMENTS
  2. QA Agent: /pr-quality:qa $ARGUMENTS
  3. Analyst Agent: /pr-quality:analyst $ARGUMENTS
  4. Architect Agent: /pr-quality:architect $ARGUMENTS
  5. DevOps Agent: /pr-quality:devops $ARGUMENTS
  6. 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.

  1. 4d 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 (45 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 877 once invoked, about $0.0002 per session on Opus 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 CDPlanningSecurityTestingagentic-aiai-agentsai-assistantanthropic-claudeautomation
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