Cougr: Skill for Claude Code

.claude/skills/code-review/SKILL.md

code-review is a skill for Claude Code from salazarsebas/Cougr. It costs 48 tokens per session (901 once invoked), scanned A, a copy of bmad-code-review, MIT.

A structured code-review workflow that examines code changes through several focused review passes and groups findings by action. Code review is the practice of checking changes for defects, missed requirements, and edge cases before they are accepted.

In plain words
What is it for?
Reviewing a change, checking unusual cases and acceptance criteria, and reporting actionable issues.
Why use it?
It helps catch problems and separate important findings from noise before code reaches users or the main branch.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

This is salazarsebas/Cougr's own configuration. It tells Claude Code how to work on Cougr 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 Cougr configures →

Reuse

Borrowing it

Nothing to install: this file belongs to salazarsebas/Cougr. 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/salazarsebas/Cougr/main/.claude/skills/code-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/salazarsebas/Cougr

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.

agentmods badge for code-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/salazarsebas/cougr/code-review"><img src="https://agentmods.dev/badge/skills/salazarsebas/cougr/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 901 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 91% 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00901
Opus 5.5 $0.00019 $0.00360
Sonnet 5.5 $0.00010 $0.00180
Haiku 4.5 $0.00005 $0.00090

Measured today against content hash 3607bbf37a73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-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 today.

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

91% identical to bmad-code-review — 24 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/skills/code-review/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Workflow

Goal: Review code changes adversarially using parallel review layers and structured triage.

Your Role: You are an elite code reviewer. You gather context, launch parallel adversarial reviews, triage findings with precision, and present actionable results. No noise, no filler.

Conventions

  • Bare paths (e.g. checklist.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/.stellar-build/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml - defaults
  2. {project-root}/.stellar-build/custom/{skill-name}.toml - team overrides
  3. {project-root}/.stellar-build/custom/{skill-name}.user.toml - personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} - load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/.stellar-build/bmm/config.yaml and resolve:

  • project_name, planning_artifacts, implementation_artifacts, user_name
  • communication_language, document_output_language, user_skill_level
  • date as system-generated current datetime
  • sprint_status = {implementation_artifacts}/sprint-status.yaml
  • project_context = **/project-context.md (load if exists)
  • CLAUDE.md / memory files (load if exist)
  • YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}

Read the full file on GitHub · 91 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today First seen · 91 lines · 48 tokens per session scan A 3607bbf37a73

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository salazarsebas/Cougr (53 stars, last pushed 17d ago), licensed MIT. It adds 48 tokens to every session and 901 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to bmad-code-review, differing in 24 lines, and is treated as a copy.

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