A review routine that alternates random exploration with review by another agent to find integration bugs, which are failures at the points where parts of a system work together.

Use it during active implementation on recently completed work, repeating the review until two consecutive rounds from different agents find no problems.

It is designed to catch problems that a single agent reviewing its own work may overlook.

How hoangsonww/Forge-Agentic-Coding-CLI configures Claude Code and Cod

Reuse

Borrowing it

Nothing to install: this file belongs to hoangsonww/Forge-Agentic-Coding-CLI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/hoangsonww/Forge-Agentic-Coding-CLI/master/.agents/skills/deep-review/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/hoangsonww/Forge-Agentic-Coding-CLI

Made for: Claude Code, Codex.

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/skills/hoangsonww/forge-agentic-coding-cli/deep-review/github.svg)](https://agentmods.dev/skills/hoangsonww/forge-agentic-coding-cli/deep-review)

Your own site

<a href="https://agentmods.dev/skills/hoangsonww/forge-agentic-coding-cli/deep-review"><img src="https://agentmods.dev/badge/skills/hoangsonww/forge-agentic-coding-cli/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/skills/hoangsonww/forge-agentic-coding-cli/deep-review"><img src="https://agentmods.dev/badge/skills/hoangsonww/forge-agentic-coding-cli/deep-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 142 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	$0.00034	$0.00142
Opus 5.5	$0.00014	$0.00057
Sonnet 5.5	$0.00007	$0.00028
Haiku 4.5	$0.00003	$0.00014

Measured 2mo ago against content hash 6c01d0f4b406, 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.

.agents/skills/deep-review/SKILL.md · 17 lines

What it actually says

Use the verbatim prompts at .flywheel/prompts/deep-review.md, alternating Round A (random exploration) and Round B (cross-agent review).

Run this on 1–2 agents who just finished a bead, not the whole swarm. Continue until two consecutive rounds from different agents come back clean.

If agents keep finding bugs after 4+ rounds, the real issue is a pattern — go back to bead space and create fix-beads for the bug class.

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 · 17 lines · 34 tokens per session scan A 6c01d0f4b406

Subscribe to this mod's changes

deep-review is a skill published in the GitHub repository hoangsonww/Forge-Agentic-Coding-CLI (26 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 142 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.

Code review agentic-ai agentic-coding agentic-workflow agents cli command-line-interface

deep-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
deep-reviewhoangsonww/Forge-Agentic-Coding-CLI	Skill	26	1mo ago	MIT	A	34	Claude Code, Codex
code-revieweralirezarezvani/claude-code-tresor	Skill	782	4mo ago	MIT	A	54	Claude Code
moai-ref-cross-model-auditmodu-ai/moai-adk	Skill	1.3k	4d ago	Apache-2.0	A	96	Claude Code
moai-foundation-qualitymodu-ai/moai-adk	Skill	1.3k	4d ago	Apache-2.0	A	58	Claude Code
moai-reviewmodu-ai/moai-adk	Skill	1.3k	4d ago	Apache-2.0	A	14	Claude Code
code-reviewdamianvtran/local-operator	Skill	229	today	MIT	A	45	Claude Code, Codex
responding-to-reviewdamianvtran/local-operator	Skill	229	today	MIT	A	46	Claude Code, Codex

Forge-Agentic-Coding-CLI: Skill for Claude Code