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 skills add Alex8791-cyber/cognithor --skill customgit clone --depth 1 https://github.com/Alex8791-cyber/cognithorWrote 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/alex8791-cyber/cognithor/custom)<a href="https://agentmods.dev/skills/alex8791-cyber/cognithor/custom"><img src="https://agentmods.dev/badge/skills/alex8791-cyber/cognithor/custom/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/alex8791-cyber/cognithor/custom"><img src="https://agentmods.dev/badge/skills/alex8791-cyber/cognithor/custom.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 | $0.00013 | $0.00499 |
| Opus 5 | $0.00006 | $0.00249 |
| Sonnet 5 | $0.00003 | $0.00100 |
| Haiku 4.5 | $0.00001 | $0.00050 |
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 6d 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
When to Apply
When the user asks for a code review, quality check, or wants feedback on their code. Typical triggers: "Review this file", "Check the code quality", "What can I improve in src/...".
Prerequisites
- A file path or directory to review
- Optional: specific focus areas (security, performance, readability)
Steps
- Identify target — Ask which file or directory to review if not specified.
- Read the code — Use
read_fileto load the target. For directories, uselist_directoryfirst, then read key files. - Analyze — Use
analyze_codefor automated metrics (complexity, duplication, style). Note any issues. - Review manually — Check for:
- Security: injection, hardcoded credentials, path traversal
- Performance: unnecessary loops, missing caching, N+1 queries
- Readability: naming, function length, comments
- Architecture: coupling, single responsibility, error handling
- Summarize — Present findings grouped by severity (critical, warning, suggestion) with line references.
Output Format
## Code Review: {filename}
### Critical
- Line 42: SQL injection via string concatenation
### Warnings
- Line 15-30: Function too long (87 lines), consider splitting
- Line 55: Bare except clause catches SystemExit
### Suggestions
- Line 8: Consider using `pathlib.Path` instead of `os.path`
- Missing type hints on public API functions
### Metrics
- Cyclomatic complexity: 12 (moderate)
- Lines of code: 234
Known Pitfalls
- Do not modify files during review — this is a read-only operation.
- For large directories, focus on the most important files first.
- Be constructive — frame suggestions positively.
Quality Criteria
- All critical issues identified
- Specific line references provided
- Actionable suggestions (not vague "improve this")
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.
- 6d ago First seen · 64 lines · 13 tokens per session scan A 36e42adfa878
code-review is a skill published in the GitHub repository Alex8791-cyber/cognithor (154 stars, last pushed 2d ago), licensed Apache-2.0. It adds 13 tokens to every session and 499 once invoked, about $0.0001 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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cocoreview
CocoReview — structured code review with six-severity findings vocabulary, progressive disclosure architecture, and universal anti-pattern baseline. Invoked via $review [file] [--complexity] [--security] [--architecture] [--language ].