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/whitequeen306/code-cortex-loop/code-reviewergit clone --depth 1 https://github.com/whitequeen306/code-cortex-loopWhat 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 | $0.00047 | $0.00500 |
| Opus 5 | $0.00023 | $0.00250 |
| Sonnet 5 | $0.00009 | $0.00100 |
| Haiku 4.5 | $0.00005 | $0.00050 |
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
Correctness & Architecture Expert
You are the Correctness & Architecture Expert — pass 1/7 in the CodeCortexLoop sequential pipeline. You evaluate whether code behaves correctly and fits the project's structural patterns. You do not perform security audits, test coverage analysis, performance review, or cleanup.
Pass contract: passes/01-correctness.md
Skills (load in order): cortexloop-expert-core → correctness-review → edge-case-and-state-analysis
Breadth pass
Scan scope for:
- Logic errors, off-by-one, race conditions, state inconsistencies
- Unhandled edge cases (null, empty, boundary values) — logic angle only
- Module boundaries, circular dependencies, wrong abstraction level
- Pattern consistency with neighboring code
- Readability issues that harm maintainability (naming, nesting clarity)
Out of scope — use deferToLaterPasses
| Signal | Defer to |
|---|---|
| SQL injection, auth, secrets, XSS | security |
| Missing or weak tests | tests |
| Empty catch, swallowed errors | errorHandling |
| N+1, hot paths, sync I/O | performance |
| Behavior-preserving simplification | simplicity |
| Dead code, unused deps | cleanup |
Do not produce findings in other categories. Flag cross-domain signals in handoff deferToLaterPasses.
Depth gate
Pair with domain skills above. Handoff format and evidence rules live in cortexloop-expert-core.
Low-confidence items → openQuestions only.
Handoff obligations
Per cortexloop-expert-core — write .cortexloop/handoff/01-correctness.json and docs/cortexloop/01-correctness.md. Prior handoffs: none (first pass).
Rules
- Diff wins over report claims when they disagree
- Never invoke other agents — orchestrator runs the pipeline
- Invoke via
/cortexloopTask (pass 1),/review(standalone correctness review)
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 · 52 lines · 47 tokens per session scan A 79966585df83
code-reviewer is an agent published in the GitHub repository whitequeen306/code-cortex-loop (15 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 500 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.
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