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/andreaswasita/copilot-agents-dojo/code-reviewnpx skills add andreaswasita/copilot-agents-dojo --skill code-reviewgit clone --depth 1 https://github.com/andreaswasita/copilot-agents-dojoWhat 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 | $0.00013 | $0.01034 |
| Opus 5 | $0.00006 | $0.00517 |
| Sonnet 5 | $0.00003 | $0.00207 |
| Haiku 4.5 | $0.00001 | $0.00103 |
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 yesterday.
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 Review Skill
Reviews diffs and PRs the way a senior engineer would: intent first, structure second, line-by-line third. Produces feedback grouped by severity (🔴 must / 🟡 should / 🟢 nit) with concrete suggestions. Does NOT rewrite the author's code — it directs, it does not replace.
When to Use
- Reviewing a pull request, branch diff, or staged changes.
- Auditing changes before merge.
- Self-reviewing the agent's own output before presenting it.
- Hunting for security, correctness, or performance regressions.
- The user asks "does this look right?" about a code change.
Prerequisites
- The
view,grep, andglobCopilot tools to read code. gitavailable so diffs can be inspected (git diff main,git log).- Read access to the repository being reviewed.
- For PR-scoped review:
ghCLI authenticated to fetch PR metadata.
How to Run
1. Read the PR title, description, and linked issue.
2. List changed files (`git diff main --stat`) and assess scope.
3. Walk the diff with the `view` tool, file by file.
4. Apply the severity rubric below.
5. Emit a structured review block with concrete fixes.
Quick Reference
| Phase | Tool | What to check |
|---|---|---|
| Intent | PR description, linked issue | Why does this change exist? |
| Scope | git diff main --stat |
Files changed match stated intent |
| Correctness | view on hot paths |
Logic, null/edge handling, off-by-one |
| Security | grep for secrets, raw SQL, eval |
Injection, auth bypass, leaked secrets |
| Performance | view on loops, queries |
N+1, unbounded allocations, missing indexes |
| Tests | view on test files |
New paths actually covered |
Procedure
Step 1: Understand Intent
Read the PR description, commit messages, and any linked issue. If intent is unclear, stop and ask the author — reviewing code whose purpose you don't understand wastes everyone's time.
Step 2: Structural Pass
Use git diff main --stat to size the change. Check:
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.
- yesterday First seen · 113 lines · 13 tokens per session scan A ca2fdaa55f7a
code-review is a skill published in the GitHub repository andreaswasita/copilot-agents-dojo (51 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 1,034 once invoked, about $0.0001 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
pr-triage
PR triage: audit open PRs, deep review selected ones, draft and post review comments. Args: "all" to review all, PR numbers to focus (e.g. "42 57"), "en"/"fr" for language, no arg = audit only in French.
code-review
Use to judge a concrete diff, branch, or GitHub PR on its own merits with no rsc-SDD spec/plan chain to key off — the spec-less giving pass behind /code-review: only findings you can defend, one verdict, read-only unless --comment or --fix. NOT the SDD gate keyed to 02-DOCS/wiki/sdd/ that also processes incoming…
code-review
Automated code review with checklist and quality gates.
code-review
代码审查和质量分析技能。用于审查代码、发现潜在问题、提供改进建议。当用户请求代码审查、代码质量分析或最佳实践建议时使用。.
fresh-eyes-review
This skill should be used as a mandatory final sanity check before git commit, PR creation, or declaring work done. Triggers on "commit", "push", "PR", "pull request", "done", "finished", "complete", "ship", "deploy", "ready to merge". Catches security vulnerabilities, logic errors, and business rule bugs that slip…
comprehensive-code-review
Use when performing code review on a PR, reviewing code changes before merge, or when a GitHub code review is requested or received - orchestrates parallel sub-agents for correctness and safety review.