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 softspark/ai-toolkit --skill onboardgit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/onboard)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/onboard"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/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/softspark/ai-toolkit/onboard"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/onboard.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 | $0.00040 | $0.01130 |
| Opus 5.5 | $0.00016 | $0.00452 |
| Sonnet 5.5 | $0.00008 | $0.00226 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
onboard 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 17d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/onboard - Project Setup Guide
$ARGUMENTS
What This Command Does
Guide the user through setting up the ai-toolkit in their project, including configuration and customization.
Setup Steps
Step 0: Intent Capture Interview
Before setting up tooling, understand the project's undocumented context. Ask the developer these questions (adapt based on what the codebase scan reveals):
- What's the one thing a new contributor always gets wrong? — This reveals the biggest documentation gap
- Are there files or directories that should NOT be modified? — Identifies protected areas (legacy, generated, vendor)
- What's the deployment model? — Monolith, microservices, serverless, edge — shapes which agents and skills are most relevant
- Are there non-obvious constraints? — Compliance requirements, performance budgets, browser support matrix
- What's the team's review culture? — Strict PR reviews, trunk-based, pair programming — configures
/reviewbehavior
Use answers to:
- Customize the generated
CLAUDE.mdwith project-specific warnings and conventions - Select the right
--profile(minimal/standard/strict) automatically - Pre-configure relevant language rules
Step 1: Prerequisites Check
- Claude Code CLI installed
- ai-toolkit repository cloned
- Current directory is the target project
Step 2: Install Toolkit
# Run the installer from the toolkit directory
/path/to/ai-toolkit/install.sh
This creates symlinks in .claude/:
agents/-> toolkit agentsskills/-> toolkit skills (slash commands + knowledge skills)hooks.json-> quality gatesconstitution.md-> safety rules
Step 3: Configure AGENTS.md
Project instructions live in AGENTS.md, read by every coding agent;
CLAUDE.md imports it. ai-toolkit install --local creates both, or moves an
existing CLAUDE.md with ai-toolkit adopt-agents-md. By hand:
cp /path/to/ai-toolkit/app/AGENTS.md.template ./AGENTS.md
printf '@AGENTS.md\n' > CLAUDE.md
Keep AGENTS.md under 24,000 bytes: Antigravity truncates larger files.
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.
- 17d ago Changed · +4 lines ce513efba137
- 1mo ago First seen · 115 lines · 40 tokens per session scan A 7cd5d72f7d90
onboard is a skill published in the GitHub repository softspark/ai-toolkit (181 stars, last pushed 11d ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,130 once invoked, about $0.0002 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 2026-09-03.
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