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 skilletmd/skillet --skill skillet-onboardinggit clone --depth 1 https://github.com/skilletmd/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/skilletmd/skillet/skillet-onboarding)<a href="https://agentmods.dev/skills/skilletmd/skillet/skillet-onboarding"><img src="https://agentmods.dev/badge/skills/skilletmd/skillet/skillet-onboarding/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/skilletmd/skillet/skillet-onboarding"><img src="https://agentmods.dev/badge/skills/skilletmd/skillet/skillet-onboarding.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 | $0.00061 | $0.00975 |
| Opus 5 | $0.00030 | $0.00487 |
| Sonnet 5 | $0.00012 | $0.00195 |
| Haiku 4.5 | $0.00006 | $0.00097 |
Grade A, and why
skillet-onboarding 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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skillet-onboarding
Welcome to Skillet. This skill walks you through the four moments that make Skillet click: install, sync, publish, and add from someone else. It takes about 10 minutes.
Step 1 — Install and first sync (< 2 min)
npx skilletmd
That's it. Skillet installs, scans for skill directories it already knows about (~/.agents/skills, ~/.claude/skills, .cursor/rules, etc.), and shows you what it found. Sign in at skillet.md first — passwordless, an email link — then the wizard links this machine with a pair code from skillet.md → Settings → Devices and runs your first sync. Pairing never uploads your local skills; uploading is a separate, deliberate step.
If you have no skills yet, that's fine — skip to Step 3.
Step 2 — Sync to a second machine
On any other machine:
# Preferred: pair code from skillet.md → Settings → Devices
skillet connect ABCD-1234
skillet sync
Or sign in with email first:
skillet auth login --email [email protected]
skillet sync
If you've already published, sync pulls your kits and writes skills to the correct locations for each runtime.
Step 3 — Publish your first skill (< 5 min)
Create a skill
A skill is a SKILL.md file. The minimum viable skill has a name, a description, and a body:
---
name: my-first-skill
description: "What this skill does and when to trigger it."
---
# my-first-skill
Instructions for the AI go here. Be specific about when to use this
and what behavior you want.
Save it anywhere, then import:
skillet import ./path/to/my-first-skill
skillet sync
Point import at the skill's directory (the one with SKILL.md inside it), not at the file.
Publish
Your handle is claimed when you sign in, so connect this machine first:
skillet connect <code> # pair code from skillet.md/settings
skillet upload --skill my-first-skill # private
Add --public when you want it findable by anyone.
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 · 127 lines · 61 tokens per session scan A 1d62e0723983
skillet-onboarding is a skill published in the GitHub repository skilletmd/skillet (3 stars, last pushed 12d ago), licensed Apache-2.0. It adds 61 tokens to every session and 975 once invoked, about $0.0003 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.
Other skills, from other repositories
explain
Guided code tour of a file or subsystem this session touched — entry point, the load-bearing pieces, the edges, and what connects to it.
digest
Generate a structured vibe-learn learning digest of the current coding session from .vibe-learn/session-log.jsonl.
learn
Explain recent vibe-learn session activity or answer a question about what was built, grounded in .vibe-learn/session-log.jsonl.
quiz
Check your understanding of the vibe-learn session — recall questions grounded in the session log, with results tracked across sessions in the knowledge ledger.
vibe-learn
Explain, digest, quiz, and tour the code of the current vibe-learn coding session, with cross-session knowledge tracking and optional Obsidian save and recall workflows grounded in .vibe-learn/session-log.jsonl.
learn
Learn a tech topic to a correct 101 level in minimal time. Researches open sources (official docs/releases, engineering blogs, YouTube talks, HN/Reddit, news, papers) restricted to recent material, then produces a brief with a 101 mental model, what changed, tradeoffs, an adopt/trial/hold/avoid verdict, a…