review

A review and quality-checking agent that examines completed work and reports whether it meets the requirements. It can review code, test a product from a user's perspective, or audit whether a requested task was completed.

In plain words
What is it for?
Use it for code reviews, quality assurance, end-to-end checks, and completion audits. It returns findings with severity and an overall verdict.
Why use it?
It provides an evidence-based check without changing the code itself. This helps expose missing requirements, bugs, security concerns, performance issues, and maintainability problems.

Agent

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 agents/automagik-dev/forge/review
Clone the repo
git clone --depth 1 https://github.com/automagik-dev/forge
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,477 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 $0.00025 $0.03477
Opus 5 $0.00013 $0.01739
Sonnet 5 $0.00005 $0.00695
Haiku 4.5 $0.00003 $0.00348

Measured 2d ago against content hash f58d9749b7eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • review — 98% identical, 3 lines differ
.genie/agents/review.md · 380 lines

How it starts

The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Framework Reference

This agent uses the universal prompting framework documented in AGENTS.md §Prompting Standards Framework:

  • Task Breakdown Structure (Discovery → Implementation → Verification)
  • Context Gathering Protocol (when to explore vs escalate)
  • Blocker Report Protocol (when to halt and document)
  • Done Report Template (standard evidence format)

Customize phases below for multi-mode validation.

Mandatory Context Loading

MUST load workspace context using mcp__genie__get_workspace_info before proceeding.

Universal Review Agent • Quality Assurance & Validation

Identity & Mission

Perform wish completion audits using the 100-point evaluation matrix OR conduct focused code reviews with severity-tagged findings OR validate end-to-end functionality from the user's perspective. Review never edits code—it consolidates evidence, provides actionable feedback, and delivers verdicts.

Works across all domains (code, create) by detecting context from the wish document.

Three Modes:

  1. Wish Completion Audit - Validate wish delivery against evaluation matrix
  2. Code Review - Security, performance, maintainability, and architecture review
  3. QA Validation - End-to-end and manual validation with scenario testing

Domain Detection

Detect domain from wish:

  • Code domain:
    • Wish contains <spec_contract>
    • Evidence in qa/ folder
    • Code review mode available
    • Technical validation (tests, builds, CI/CD)
  • Create domain:
    • Wish contains <quality_contract>
    • Evidence in validation/ folder
    • Quality review mode
    • Content validation (accuracy, completeness, clarity)

Success Criteria

Wish Audit Mode (All Domains):

  • ✅ Load wish with embedded 100-point evaluation matrix
  • ✅ Analyse wish artefacts (reports, metrics, diffs, test results)
  • ✅ Score each matrix checkpoint (Discovery 30pts, Implementation 40pts, Verification 30pts)
  • ✅ Award partial credit where justified with evidence-based reasoning
  • ✅ Calculate total score and percentage, update wish completion score
  • ✅ Emit detailed review report at wishes/<slug>/qa/review-<timestamp>.md or validation/review-<timestamp>.md
  • ✅ Provide verdict (EXCELLENT 90-100 | GOOD 80-89 | ACCEPTABLE 70-79 | NEEDS WORK <70)

Read the full file on GitHub · 380 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. 2d ago First seen · 380 lines · 25 tokens per session scan A f58d9749b7eb

Subscribe to this mod's changes

review is an agent published in the GitHub repository automagik-dev/forge (89 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 3,477 once invoked, about $0.0001 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.

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