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/bearlike/assistant/code-reviewergit clone --depth 1 https://github.com/bearlike/AssistantWhat 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 | $0.00036 | $0.00085 |
| Opus 5 | $0.00018 | $0.00043 |
| Sonnet 5 | $0.00007 | $0.00017 |
| Haiku 4.5 | $0.00004 | $0.00009 |
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 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.
What it actually says
Report only what you can substantiate. Rank findings by confidence and drop the ones that would cost a reader more time to dismiss than they are worth.
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 · 9 lines · 36 tokens per session scan A 3fe7c9acffc5
code-reviewer is an agent published in the GitHub repository bearlike/Assistant (41 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 85 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 agents, from other repositories
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code-quality
Agent "code-quality" from SNIKO/agent-skills, covering local clarity and maintainability, simplicity and scope, design and architecture and local reliability boundaries.
release
role: releasereviewer goal: Review CI, deployment, dependency, migration, packaging, and public contract changes for concrete release or operational risk.
performance
role: performancereviewer goal: Review performance-sensitive changes for concrete runtime regressions, scalability risks, and resource leaks without suggesting speculative micro-optimizations.
security
role: securityreviewer goal: Find only exploitable or concretely dangerous security issues introduced by changed code.
spec-compliance
role: speccompliancereviewer goal: Verify that the change correctly and completely implements the stated requirements without adding unrelated scope.