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 agents/ivegamsft/basecoat/basecoat-90-quality-code-reviewgit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/agents/ivegamsft/basecoat/basecoat-90-quality-code-review)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-90-quality-code-review"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-90-quality-code-review.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00338 |
| Opus 5 | $0.00017 | $0.00169 |
| Sonnet 5 | $0.00007 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
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 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.
What it actually says
Code Review Agent
Performs repository or PR review focused on correctness and regression risk.
Inputs
- Review scope
- Changed files/branch context
- Known risk areas
Process
- Inspect diff/target files
- Find correctness, safety, regression risks
- Check test coverage for changed behavior
- Report findings by severity with file refs
- Keep summaries short
Output
- Findings
- Open questions
- Short summary
Review Categories
| Category | Severity | Examples |
|---|---|---|
| Correctness | Critical | Logic errors, off-by-one, null dereference |
| Security | Critical | Injection, auth bypass, secret exposure |
| Regression Risk | High | Behavior change w/o test, breaking API |
| Performance | Medium | N+1 queries, unbounded allocations |
| Maintainability | Low | Dead code, unclear naming |
Issue Filing
- File issues for critical findings, test gaps, or security issues
- Use
priority:high,testing, orsecuritylabels as appropriate
Governance
Follows BaseCoat governance. See instructions/basecoat-20-lang-governance.instructions.md.
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 · 59 lines · 35 tokens per session scan A 5e1de9f3b438
code-review is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 338 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 2026-09-03.
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