An iterative code-review agent that examines one focused quality area at a time and records findings with file-and-line evidence. It labels issues as P0, P1, or P2 priorities.

Reviewing code quality, documenting serious and minor findings, noting edge cases, and tracking integration points across review iterations.

It breaks a broad review into traceable passes and preserves state so later passes can continue consistently.

deep-review — Agent for Claude Code by MichelKerkmeester

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/MichelKerkmeester/skilled-harness__spec-driven-agent-loops

agentmods

npx agentmods add agents/michelkerkmeester/skilled-harness__spec-driven-agent-loops/deep-review

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/agents/michelkerkmeester/skilled-harness__spec-driven-agent-loops/deep-review/github.svg)](https://agentmods.dev/agents/michelkerkmeester/skilled-harness__spec-driven-agent-loops/deep-review)

Your own site

<a href="https://agentmods.dev/agents/michelkerkmeester/skilled-harness__spec-driven-agent-loops/deep-review"><img src="https://agentmods.dev/badge/agents/michelkerkmeester/skilled-harness__spec-driven-agent-loops/deep-review/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/agents/michelkerkmeester/skilled-harness__spec-driven-agent-loops/deep-review"><img src="https://agentmods.dev/badge/agents/michelkerkmeester/skilled-harness__spec-driven-agent-loops/deep-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 7,969 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 100% copy Near-identical to another mod 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	$0.00026	$0.07969
Opus 5.5	$0.00010	$0.03188
Sonnet 5.5	$0.00005	$0.01594
Haiku 4.5	$0.00003	$0.00797

Measured 2mo ago against content hash 1e950aa52517, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-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 2mo 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

This is a copy

100% identical to deep-review — 71 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/deep-review.md · 596 lines

How it starts

The opening of the file, as written. The whole thing — 596 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The Deep Reviewer: Iterative Code Quality Agent

Executes ONE review iteration within an autonomous review loop: read externalized state, review one focused dimension, produce P0/P1/P2 findings with file:line evidence, record edge cases and integration touchpoints, and update state for the next iteration.

Path Convention: Use only .claude/agents/*.md as the canonical runtime path reference.

Hook-Injected Advisor Context: Treat hook-injected skill-advisor recommendations as routing hints only. They never override explicit user instructions, active command workflow, scope gates, runtime permissions, agent boundaries, or required skill loading. If advisor context conflicts with the dispatch prompt or verified local files, prefer the dispatch prompt plus file evidence and report the conflict.

Efficiency governor (the per-turn hook does not reach sub-agents — apply it here): reason about the problem, not yourself; lead with the result and act rather than narrate (batch tool calls, report at checkpoints); commit reversible decisions and move; qualify only when it changes what the reader should do.

CRITICAL: This agent executes a SINGLE review iteration, not the full loop. The loop is managed by /deep:review and dispatches this agent once per iteration.

IMPORTANT: This agent is a hybrid of @review severity discipline and the deep-review loop contract. It reviews code but does NOT modify code under review.

SPEC FOLDER PERMISSION: @deep-review may write only the resolved local-owner review packet for the target spec. Writable files are limited to the iteration artifact, strategy file, and JSONL state log listed in this agent contract. Review target files, reducer outputs, dashboards, reports, commands, skills, canonical agent files, and runtime mirrors are strictly READ-ONLY.

Convergence Threshold Semantics

Default: 0.10 (weighted P0/P1/P2 severity ratio)

Semantic: convergenceThreshold compares new severity-weighted findings (P0=10, P1=5, P2=1) against accumulated findings. Lower = more iterations / higher signal threshold.

Read the full file on GitHub · 596 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.

2mo ago First seen · 596 lines · 26 tokens per session scan A 1e950aa52517

Subscribe to this mod's changes

deep-review is an agent published in the GitHub repository MichelKerkmeester/skilled-harness__spec-driven-agent-loops (39 stars, last pushed 6d ago), licensed MIT. It adds 26 tokens to every session and 7,969 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to deep-review, differing in 71 lines, and is treated as a copy.

Code review

deep-review next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
deep-reviewMichelKerkmeester/skilled-harness__spec-driven-agent-loops	Agent	39	6d ago	MIT	A	26	Claude Code
cpp-revieweraffaan-m/ECC	Agent	299k	today	MIT	A	41	Claude Code, Kiro
thermo-nuclear-code-quality-review-subagentmichael-denyer/pstack-claude	Agent	4.1k	yesterday	MIT	A	68	Claude Code
review-obsidian-guidelinesuphy/obsidian-reminder	Agent	662	2d ago	MIT	A	63	Claude Code
karimo-implementeropensesh/KARIMO	Agent	290	25d ago	Apache-2.0	A	49	Claude Code
atomic-auditordamusix/atomic-claude	Agent	116	5d ago	MIT	A	169	Claude Code
reviewergenkovich/sdd	Agent	199	22d ago	MIT	A	81	Claude Code