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 AdvayRoy/slate-skills --skill slate-reviewgit clone --depth 1 https://github.com/AdvayRoy/slate-skillsWrote 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/advayroy/slate-skills/slate-review)<a href="https://agentmods.dev/skills/advayroy/slate-skills/slate-review"><img src="https://agentmods.dev/badge/skills/advayroy/slate-skills/slate-review/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/advayroy/slate-skills/slate-review"><img src="https://agentmods.dev/badge/skills/advayroy/slate-skills/slate-review.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 | $0.00027 | $0.00319 |
| Opus 5 | $0.00014 | $0.00160 |
| Sonnet 5 | $0.00005 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
slate-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 11d 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
slate-review
Review code with location, severity, issue, fix.
Format
<file>:L<line> | <severity> | <issue> | <fix>
Severity values:
bug— broken behaviorrisk— works but fragilesecurity— security/privacy issueperf— performance issuenit— optional style/readabilityquestion— genuine question, not disguised suggestion
Rules
- One finding per line.
- Preserve exact line numbers, symbols, function names, variable names.
- Concrete fix required unless severity is
question. - No fake praise per comment.
- No vague
consider refactoringcomments. - Do not approve, request changes, or run tools; output paste-ready comments only unless user asks otherwise.
Auto-clarity
Use a normal paragraph for serious security findings, architecture disagreements, or onboarding contexts where the author needs rationale. Then resume terse review lines.
Example
src/auth.ts:L42 | bug | `user` can be null after `.find()` | add guard before `.email`
src/api.ts:L88 | risk | no retry on 429 | wrap request in `withBackoff(3)`
src/cache.ts:L17 | nit | name hides unit | rename `ttl` to `ttlMs`
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 48 lines · 27 tokens per session scan A 7f380d1a8083
slate-review is a skill published in the GitHub repository AdvayRoy/slate-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 319 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 2026-08-31.
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