Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/gemini-cli-extensions/workspace/code-reviewernpx skills add gemini-cli-extensions/workspace --skill code-reviewergit clone --depth 1 https://github.com/gemini-cli-extensions/workspaceWhat 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 | $0.00047 | $0.00974 |
| Opus 5 | $0.00023 | $0.00487 |
| Sonnet 5 | $0.00009 | $0.00195 |
| Haiku 4.5 | $0.00005 | $0.00097 |
Grade A, and why
code-reviewer 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Reviewer
This skill guides the agent in conducting professional and thorough code reviews for both local development and remote Pull Requests.
Workflow
1. Determine Review Target
- Remote PR: If the user provides a PR number or URL (e.g., "Review PR #123"), target that remote PR.
- Local Changes: If no specific PR is mentioned, or if the user asks to "review my changes", target the current local file system states (staged and unstaged changes).
2. Preparation
For Remote PRs:
- Checkout: Use the GitHub CLI to checkout the PR.
gh pr checkout <PR_NUMBER> - Verification: Execute the workspace's verification suite to catch issues
early. Capture the output of these commands to inform your review (e.g.,
note any failed tests or linting errors).
npm install npm run build npm run test npm run lint npm run format:check - Context: Read the PR description and any existing comments to understand the goal and history.
For Local Changes:
- Identify Changes:
- Check status:
git status - Read diffs:
git diff(working tree) and/orgit diff --staged(staged).
- Check status:
- Verification: Ask the user if they want to run the verification suite before reviewing. If yes, run the same commands as for remote PRs.
3. In-Depth Analysis
Analyze the code changes based on the following pillars:
- Correctness: Does the code achieve its stated purpose without bugs or logical errors?
- Maintainability: Is the code clean, well-structured, and easy to understand and modify in the future? Consider factors like code clarity, modularity, and adherence to established design patterns.
- Readability: Is the code well-commented (where necessary) and consistently formatted according to our project's coding style guidelines?
- Efficiency: Are there any obvious performance bottlenecks or resource inefficiencies introduced by the changes?
- Security: Are there any potential security vulnerabilities or insecure coding practices?
- Edge Cases and Error Handling: Does the code appropriately handle edge cases and potential errors?
- Testability: Is the new or modified code adequately covered by tests (even if preflight checks pass)? Suggest additional test cases that would improve coverage or robustness.
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.
- 2d ago First seen · 113 lines · 47 tokens per session scan A 3d36852f50c5
code-reviewer is a skill published in the GitHub repository gemini-cli-extensions/workspace (636 stars, last pushed 2d ago), licensed Apache-2.0. It adds 47 tokens to every session and 974 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…