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 escoffier-labs/skillet --skill plategit clone --depth 1 https://github.com/escoffier-labs/skilletWrote 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/escoffier-labs/skillet/plate)<a href="https://agentmods.dev/skills/escoffier-labs/skillet/plate"><img src="https://agentmods.dev/badge/skills/escoffier-labs/skillet/plate/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/escoffier-labs/skillet/plate"><img src="https://agentmods.dev/badge/skills/escoffier-labs/skillet/plate.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 | $0.00084 | $0.01422 |
| Opus 5 | $0.00042 | $0.00711 |
| Sonnet 5 | $0.00017 | $0.00284 |
| Haiku 4.5 | $0.00008 | $0.00142 |
Grade A, and why
plate 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
plate
Plating is the last look before the dish leaves the kitchen: nothing goes out with a thumbprint on the rim. This skill is that final pass over a single piece of outward-facing writing. It catches the things that leak the author's machine, identity, or internal world, and enforces the writing conventions, before the words are published where they cannot be unpublished.
This is per-artifact prose hygiene. It is the companion to publish-readiness, which gates a whole repo and its git history; reach for that one for source trees and commit history, this one for the thing you are about to paste into a post, PR, or commit.
What to scan for
Run every check against the artifact text. Report each hit with its location and a concrete replacement.
1. Infrastructure and identity leaks
- Internal hostnames and machine names. Personal box names, lab hostnames, anything that is not a public, intentional reference. Replace with a generic placeholder or the public project name. A cold agent will not know the user's machine names: ask for them, or flag any internal-looking host (
*.local, mDNS names, lab-style or pet-name hosts, non-public domains) for confirmation rather than letting it pass. - Private IPs. RFC 1918 ranges (
10.,172.16-31.,192.168.). Replace with documentation ranges: RFC 5737 (192.0.2.x,198.51.100.x,203.0.113.x) or RFC 2544 (198.18.x). A scanner that blocks all private ranges will also flag a "fake"192.168.xplaceholder, that is correct, use the doc ranges. - LAN service URLs, local ports, internal endpoints.
localhost:<port>,http://192.168..., internal dashboards. Replace withexample.comor a neutral description. - Absolute home paths.
/home/<user>/...,/Users/<name>/...leak a username. Generalize to~/or a relative path. - Personal email addresses that are not the author's public identity.
2. Authorship disclosure
- No statement that an AI, assistant, or model wrote or co-wrote the user's content, unless the user explicitly wants it. This is broader than commit trailers. Match phrasings like "written with help from", "with help from ", "generated by", "co-written by an AI", "drafted by", as well as named-model mentions in an authorship context. Default action: propose deleting the line, confirm with the user.
- No
Co-Authored-By/Generated with/Assisted bytrailers in public commits, PR bodies, or release notes.
What ships with it
3 files 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.
- 10d ago First seen · 72 lines · 84 tokens per session scan A 7c54bbfe4f85
plate is a skill published in the GitHub repository escoffier-labs/skillet (4 stars, last pushed 9d ago), licensed MIT. It adds 84 tokens to every session and 1,422 once invoked, about $0.0004 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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