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 ai-driven-dev/framework --skill 00-onboardgit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/ai-driven-dev/framework/00-onboard)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/00-onboard"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/00-onboard/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/ai-driven-dev/framework/00-onboard"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/00-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 27 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00046 | $0.00236 |
| Opus 5.5 | $0.00018 | $0.00094 |
| Sonnet 5.5 | $0.00009 | $0.00047 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade B, and why
00-onboard scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Guide, do not lecture or dump. What it actually says
Onboard
flowchart LR
scan --> assess --> present --> run --> scan
Actions
Run the actions in that order, looping. Read an action's file in actions/ before running it.
| # | Action | Does |
|---|---|---|
| 01 | scan | read the project |
| 02 | assess | decide the next step |
| 03 | present | show the screen |
| 04 | run | act on the reply |
Transversal rules
- Guide, do not lecture or dump.
- Name real commands only, never invented ones.
- Never run a GUIDED step unattended.
- Never test a plugin version against a registry.
- Never trust a stale status.
- Wait for an explicit reply before running anything.
What ships with it
17 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.
- actions/01-scan.md 875 B
- actions/02-assess.md 668 B
- actions/03-present.md 1.6 KB
- actions/04-run.md 1001 B
- assets/banner.txt 486 B
- assets/report.md 1.3 KB
- references/flow.md 1.3 KB
- references/order/idle-menu.md 1.0 KB
- references/order/ranking.md 322 B
- references/order/screen-map.md 723 B
- references/run/replies.md 1.2 KB
- references/run/return.md 263 B
- references/run/tiers.md 854 B
- references/state/detection.md 1.6 KB
- references/state/done-rule.md 364 B
- references/state/hedge.md 725 B
- references/state/zones.md 2.7 KB
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 · 33 lines · 46 tokens per session scan B 7a7912fc0a3d
00-onboard is a skill published in the GitHub repository ai-driven-dev/framework (518 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 236 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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git-checkpoint
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