Borrowing it
Nothing to install: this file belongs to 2389-research/fresh-eyes-review. 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/2389-research/fresh-eyes-review/main/CLAUDE.mdgit clone --depth 1 https://github.com/2389-research/fresh-eyes-reviewWrote 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/instructions/2389-research/fresh-eyes-review/claude-md)<a href="https://agentmods.dev/instructions/2389-research/fresh-eyes-review/claude-md"><img src="https://agentmods.dev/badge/instructions/2389-research/fresh-eyes-review/claude-md/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/instructions/2389-research/fresh-eyes-review/claude-md"><img src="https://agentmods.dev/badge/instructions/2389-research/fresh-eyes-review/claude-md.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 | $0.00814 | $0.00814 |
| Opus 5 | $0.00407 | $0.00407 |
| Sonnet 5 | $0.00163 | $0.00163 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
fresh-eyes-review CLAUDE.md 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 11d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fresh-Eyes Review Plugin
Overview
This plugin enforces a mandatory final quality gate before code ships. It catches security vulnerabilities, logic errors, and bugs that slip through despite passing tests.
Skill Included
fresh-eyes-review
Trigger keywords: commit, PR, done, complete, finished, ship, deploy, push
When to use:
- ALWAYS before git commit
- ALWAYS before creating pull request
- ALWAYS before declaring work complete
- After all tests pass but before shipping
What it does:
- Announces "Starting fresh-eyes review of [N] files. This will take 2-5 minutes."
- Systematically checks for:
- Security vulnerabilities (SQL injection, XSS, path traversal, command injection)
- Logic errors (off-by-one, race conditions, null handling)
- Business rule bugs (calculations match requirements?)
- Input validation (type, range, format checks complete?)
- Performance issues (N+1 queries, unbounded loops)
- Fixes issues immediately
- Re-runs tests after corrections
- Announces results: "Fresh-eyes complete. [N] issues found and fixed."
Time commitment: 2-5 minutes
Core Principle
"NO COMMIT WITHOUT FRESH-EYES REVIEW FIRST"
This is non-negotiable. The discipline applies universally, even without explicit skill activation.
Key Distinctions
- Testing - Validates expected behavior under controlled conditions
- Code review - Examines patterns and quality during implementation
- Fresh-eyes - Catches unexpected issues through deliberate re-reading with psychological distance
The skill emphasizes: "100% test coverage and passing scenarios" can coexist with "critical bugs" waiting discovery.
Resistance Patterns to Reject
The skill explicitly lists rationalizations to ignore:
- "Tests are comprehensive"
- "I'm confident it's correct"
- "Partner is waiting"
- "Production is blocked"
- "Senior dev already approved"
These circumstances represent precisely when critical bugs escape into production.
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.
- 11d ago First seen · 126 lines · 814 tokens per session scan A 5b021876e8ba
fresh-eyes-review CLAUDE.md is an instructions file published in the GitHub repository 2389-research/fresh-eyes-review (5 stars, last pushed 2mo ago), licensed MIT. It adds 814 tokens to every session, about $0.0041 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 2026-08-31.
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