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 wrg32786/aigent-os --skill startgit clone --depth 1 https://github.com/wrg32786/aigent-osWrote 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/wrg32786/aigent-os/start)<a href="https://agentmods.dev/skills/wrg32786/aigent-os/start"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/start/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/wrg32786/aigent-os/start"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/start.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.00636 |
| Opus 5 | $0.00022 | $0.00318 |
| Sonnet 5 | $0.00009 | $0.00127 |
| Haiku 4.5 | $0.00004 | $0.00064 |
Grade A, and why
start 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 9d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/start: wake the operator
Use this skill on first launch and whenever the operator asks for the home screen, start menu, or orientation.
State contract
The canonical first-run state is .aigent/state.json:
{
"schemaVersion": 1,
"status": "uninitialized | setup-in-progress | ready",
"completedAt": null
}
For compatibility with installations before v0.9, .aigent/first-run-done is also recognized.
status: readyor a legacy first-run marker means returning operator.- Missing state, invalid state, or any other status means first run.
- If the legacy marker exists but the JSON state is not ready, migrate the JSON state to
readysilently.
First run
- Write
status: setup-in-progressbefore asking questions, so an interrupted setup can resume. - Give a two-line, warm, plain greeting:
I'm your AIgent operator. Let's get you one real win in the next few minutes.
- Run
/operator-setup, one question at a time. - When the operator chooses an action from the personal briefing, run
/first-winand produce a usable artifact. - Teach the operating loop once:
Later sessions pick up on their own via
/resume. When you are done, say "close up" or run/context-capsuleso the work is banked (it also autosaves as you go). Run/statuslineonce in Claude Code to show context usage. - Only after setup memory and the first artifact are successfully written:
- Set
.aigent/state.jsontostatus: readywith an ISO-8601completedAtvalue. - Write
.aigent/first-run-donefor backward compatibility.
- Set
Do not mark setup ready before the durable writes succeed.
Returning operator
- Read
memory/about-you.mdand recent session memory. - Give a short, specific briefing: what matters today, what changed, and what is blocked.
- Surface the action menu.
Action menu
Present a short numbered list and accept either the number or a plain-language request:
- Plan my day
- Draft content
- Research something
- Build an automation
- Check my numbers
- Talk it through
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.
- 9d ago First seen · 70 lines · 44 tokens per session scan A df37b7ee3d4b
start is a skill published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 636 once invoked, about $0.0002 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 2026-09-03.
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