coder: Skill for Claude Code

.agents/skills/deep-review/SKILL.md

deep-review is a skill for Claude Code, Codex from coder/coder. It costs 30 tokens per session (4,679 once invoked), scanned A, original, AGPL-3.0.

A code-review process that uses several reviewers for different technical areas, compares their findings, and posts one structured GitHub review.

In plain words
What is it for?
Use it to review changes across different domains, check reviewers’ findings against each other, and publish a combined review.
Why use it?
It combines multiple perspectives while avoiding a collection of separate, conflicting review comments.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is coder/coder's own configuration. It tells Claude Code and Codex how to work on coder itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything coder configures →

About the project

Coder is a self-hosted platform for creating cloud development environments and running AI coding agents on an organization's own infrastructure. Development teams use Terraform-defined workspaces, secure connections, model governance, and centralized auditing to support developers and delegate coding work. The catalogue entries provide agents, skills, integrations, instructions, settings, hooks, and rules for working with Coder.

coder/coder · 17,237 stars · on GitHub · coder.com

Reuse

Borrowing it

Nothing to install: this file belongs to coder/coder. 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/coder/coder/main/.agents/skills/deep-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/coder/coder

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.

agentmods badge for deep-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/coder/coder/deep-review/github.svg)](https://agentmods.dev/skills/coder/coder/deep-review)
Your own site
<a href="https://agentmods.dev/skills/coder/coder/deep-review"><img src="https://agentmods.dev/badge/skills/coder/coder/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.

agentmods 80×15 button for deep-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/coder/coder/deep-review"><img src="https://agentmods.dev/badge/skills/coder/coder/deep-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,679 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin unknown 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 5.1 $0.00030 $0.04679
Opus 5.5 $0.00012 $0.01872
Sonnet 5.5 $0.00006 $0.00936
Haiku 4.5 $0.00003 $0.00468

Measured 1mo ago against content hash 682280433a17, 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 1mo 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 · 342 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 1mo ago Changed · -4 lines 682280433a17
  2. 2mo ago First seen · 346 lines · 30 tokens per session scan A 67d290ea0a71

Subscribe to this mod's changes

deep-review is a skill published in the GitHub repository coder/coder (17,237 stars, last pushed today), licensed AGPL-3.0. It adds 30 tokens to every session and 4,679 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.