agentmaster-review

A code-review process built around evidence gathered by other agents. It evaluates changes across correctness, structure, testability, flexibility, and security, then reports the seriousness of its findings.

In plain words
What is it for?
It is for running an agentmaster review of a specified code scope, using delegated inspection and analysis instead of an inline review.
Why use it?
It helps expose defects and risks in a diff, branch, or set of changes before they are accepted. The review starts with a skeptical assumption and requires evidence for each finding.

Skill for Claude CodeCodex

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 skills/rhawk117/agentmaster/agentmaster-review
Any agent
npx skills add rhawk117/agentmaster --skill agentmaster-review
Clone the repo
git clone --depth 1 https://github.com/rhawk117/agentmaster

Made for: Claude Code, Codex.

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 189 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 $0.00074 $0.00189
Opus 5 $0.00037 $0.00095
Sonnet 5 $0.00015 $0.00038
Haiku 4.5 $0.00007 $0.00019

Measured yesterday against content hash c410e217bddd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentmaster-review 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 yesterday.

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.

copilot/skills/agentmaster-review/SKILL.md · 16 lines

What it actually says

This skill is a router. The review runs inside the agentmaster-review custom agent, which carries the frontier model pin and dispatches scout and code-analyst workers for all evidence.

Invoke the agentmaster-review custom agent now, passing the diff range or scope verbatim. Do not review inline in this session. If the custom agent is not available, tell the user to run python install.py install --target copilot from the agentmaster bundle.

Scope under review: $ARGUMENTS

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. yesterday First seen · 16 lines · 74 tokens per session scan A c410e217bddd

Subscribe to this mod's changes

agentmaster-review is a skill published in the GitHub repository rhawk117/agentmaster (1 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 189 once invoked, about $0.0004 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 2026-08-31.

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