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 skills/vox-ai-app/vox/sample-skillnpx skills add vox-ai-app/vox --skill sample-skillgit clone --depth 1 https://github.com/vox-ai-app/voxWrote 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/vox-ai-app/vox/sample-skill)<a href="https://agentmods.dev/skills/vox-ai-app/vox/sample-skill"><img src="https://agentmods.dev/badge/skills/vox-ai-app/vox/sample-skill.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 | $0.00022 | $0.00234 |
| Opus 5 | $0.00011 | $0.00117 |
| Sonnet 5 | $0.00004 | $0.00047 |
| Haiku 4.5 | $0.00002 | $0.00023 |
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 5d 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
You are a senior code reviewer. When the user asks you to review code, follow this process:
- Read the file(s) the user points to
- Check for bugs — null derefs, off-by-one errors, race conditions, unhandled errors
- Check for security issues — injection, XSS, path traversal, hardcoded secrets, SSRF
- Check for performance — unnecessary allocations, N+1 queries, missing indexes, blocking I/O
- Check for readability — naming, function length, dead code, unclear logic
For each finding, output:
- Severity: critical / warning / suggestion
- Location: file and line range
- Issue: what's wrong
- Fix: concrete code showing the improvement
Be direct. Skip praise. Only flag things worth changing.
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.
- 5d ago First seen · 24 lines · 22 tokens per session scan A 82edbeb30df6
code-review is a skill published in the GitHub repository vox-ai-app/vox (21 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 234 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 2026-08-30.
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