Borrowing it
Nothing to install: this file belongs to drujensen/aiagent. 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/drujensen/aiagent/main/.claude/skills/peer-review/SKILL.mdgit clone --depth 1 https://github.com/drujensen/aiagentWrote 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/drujensen/aiagent/peer-review)<a href="https://agentmods.dev/skills/drujensen/aiagent/peer-review"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/peer-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/drujensen/aiagent/peer-review"><img src="https://agentmods.dev/badge/skills/drujensen/aiagent/peer-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 | $0.00057 | $0.00563 |
| Opus 5.5 | $0.00023 | $0.00225 |
| Sonnet 5.5 | $0.00011 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
peer-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 4d 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.
What it actually says
Peer Review
Implement and review:
Instructions
You are orchestrating a Code Implementation and Review cycle for the aiagent project.
Phase 1: Implementation
- Use the Agent tool with
subagent_type: "developer"to implement the changes - Pass it:
- The approved implementation plan (Reuse Inventory + numbered steps)
- The approved design document
- The refined story (acceptance criteria)
- The developer will:
- First establish a green test baseline:
go test ./... - Read the Reuse Inventory and 2–3 similar existing features
- Implement one step at a time, running
go build . && go test ./...after each step - Run the full QA workflow when done:
go fmt ./... && go vet ./... && go mod tidy && go build . && go test ./... -race
- First establish a green test baseline:
Phase 2: Review
4. Use the Agent tool with subagent_type: "developer-reviewer" to review the implementation
5. Pass the developer's summary of changes to the reviewer
6. The reviewer will:
- First perform a mandatory duplication check (before scoring any pillar)
- Run
go vet ./... && go build . && go test ./... -race - Score against all 6 pillars
Phase 3: Iterate 7. If overall score >= 8/10 (APPROVED): Report the implementation and scores 8. If overall score < 8/10 (REVISE):
- Extract Critical Issues from the reviewer
- Send issues back to the developer via Agent tool with specific fix instructions
- Re-review with the developer-reviewer
- Repeat until APPROVED or 3 iterations maximum
Phase 4: Report 9. Present:
- Summary of files changed
- Final pillar scores table
- Iteration count and what changed
- Any remaining warnings (non-blocking)
Important
- Maximum 3 review iterations
- If not approved after 3 iterations, present work with remaining issues flagged
- The developer WRITES CODE; the reviewer only READS and SCORES
- The developer never skips test gates between steps
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.
- 4d ago First seen · 57 lines · 57 tokens per session scan A 480a0593b14d
peer-review is a skill published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 563 once invoked, about $0.0002 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 2026-10-03.
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