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.
curl -O https://raw.githubusercontent.com/salazarsebas/Cougr/main/.claude/skills/code-review/SKILL.mdgit clone --depth 1 https://github.com/salazarsebas/CougrWrote 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.
[](https://agentmods.dev/skills/salazarsebas/cougr/code-review)<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.
<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>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 | $0.00048 | $0.00901 |
| Opus 5.5 | $0.00019 | $0.00360 |
| Sonnet 5.5 | $0.00010 | $0.00180 |
| Haiku 4.5 | $0.00005 | $0.00090 |
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.
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.
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 (wherecustomize.tomllives).{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:
{skill-root}/customize.toml- defaults{project-root}/.stellar-build/custom/{skill-name}.toml- team overrides{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_namecommunication_language,document_output_language,user_skill_leveldateas system-generated current datetimesprint_status={implementation_artifacts}/sprint-status.yamlproject_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}
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.
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.
- today First seen · 91 lines · 48 tokens per session scan A 3607bbf37a73
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.
code-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| code-reviewsalazarsebas/Cougr | Skill | 53 | 17d ago | MIT | A | 48 | Claude Code |
| llmginelordbasilaiassistant-sudo/llmgine | Skill | 1 | 1mo ago | MIT | B | 78 | Claude Code, Codex |
| autoreviewopenclaw/clawhub | Skill | 9.5k | today | MIT | A | 17 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 947 | 2d ago | MIT | A | 84 | Claude Code |
| asplos-writing-stylebrycewang-stanford/Awesome-Journal-Skills | Skill | 1.4k | 1mo ago | MIT | A | 65 | Claude Code |
| ring:mapping-feature-relationshipsLerianStudio/ring | Skill | 218 | 6d ago | Apache-2.0 | A | 104 | Cursor |
| connector-sdk-submitfivetran/connector_sdk_tools | Skill | 90 | yesterday | MIT | A | 45 | Claude Code |