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 BreadchainCoop/labor.fun --skill onboardinggit clone --depth 1 https://github.com/BreadchainCoop/labor.funWrote 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/breadchaincoop/labor.fun/onboarding)<a href="https://agentmods.dev/skills/breadchaincoop/labor.fun/onboarding"><img src="https://agentmods.dev/badge/skills/breadchaincoop/labor.fun/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/breadchaincoop/labor.fun/onboarding"><img src="https://agentmods.dev/badge/skills/breadchaincoop/labor.fun/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 | $0.00069 | $0.01387 |
| Opus 5.5 | $0.00028 | $0.00555 |
| Sonnet 5.5 | $0.00014 | $0.00277 |
| Haiku 4.5 | $0.00007 | $0.00139 |
Grade A, and why
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 1mo 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding
You're meeting this group for the first time. Get useful fast, don't interrogate. One short intro message, then a couple of batched questions, then go set things up. Total: a few messages, not a form.
When this runs
- Auto-detect: your group
CLAUDE.mdis still the stock template (only the{{ASSISTANT_NAME}}-substituted boilerplate, no org-specific notes added below it) and this is the first real message in the group. - On request: a user says "set yourself up", "onboarding", or similar, any time — treat it as a request to (re)run this even if memory already has content.
If memory already shows prior onboarding notes (see below) and nobody asked for it explicitly, don't re-run — you're done, just help them.
Step 1 — Introduce yourself (one message)
Short and concrete. Name (your configured assistant name), what you're for, one line on how to talk to you. Example shape:
Hi, I'm {{ASSISTANT_NAME}} 👋 I can answer questions, keep notes on your team, schedule reminders/summaries, and connect tools like GitHub. Give me a minute to get oriented — I'll ask a couple of quick questions.
Don't wait for a reply before moving to Step 2 — keep momentum.
Step 2 — Batch the basics (one message, not five)
Ask together, in one message, with sensible defaults so a one-line reply is enough:
- What should we call you / this assistant? (default: keep the current configured name — only rename if they want something different in this group's tone; a real org-wide rename is host-level, see below)
- Timezone — guess it if you can (from
people/entries already in the shared KB, or system locale) and ask them to confirm or correct rather than asking blind. - Response style — brief default options: concise/to-the-point vs. more conversational. Default to concise if they don't care.
- What does the team/org do? — one or two sentences is plenty.
- Who's here and what do they do? — names + rough roles for the people in the channel. Don't demand a full roster; take what's offered and move on.
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.
- 1mo ago First seen · 130 lines · 69 tokens per session scan A be9127cf5f13
onboarding is a skill published in the GitHub repository BreadchainCoop/labor.fun (2 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,387 once invoked, about $0.0003 per session on Opus 5.5. 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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