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 MotWakorb/ai-agent-dev-team --skill onboardgit clone --depth 1 https://github.com/MotWakorb/ai-agent-dev-teamWrote 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/motwakorb/ai-agent-dev-team/onboard)<a href="https://agentmods.dev/skills/motwakorb/ai-agent-dev-team/onboard"><img src="https://agentmods.dev/badge/skills/motwakorb/ai-agent-dev-team/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/motwakorb/ai-agent-dev-team/onboard"><img src="https://agentmods.dev/badge/skills/motwakorb/ai-agent-dev-team/onboard.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 | $0.00047 | $0.06187 |
| Opus 5.5 | $0.00019 | $0.02475 |
| Sonnet 5.5 | $0.00009 | $0.01237 |
| Haiku 4.5 | $0.00005 | $0.00619 |
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 2mo 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 — 574 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Onboarding
This skill brings the full team up to speed on an existing project they've never seen. Each persona assesses the project from their domain, producing a baseline understanding with gaps, risks, and recommendations. The lens for every assessment is user value: is this project delivering value to its users, and what's getting in the way?
Model Selection
When spawning agents, pass model: explicitly per _shared/orchestration.md (Agent Model Selection). For this skill:
- IT Architect (leads component identification + tier proposal):
opus— needs reasoning to draft the component list and propose tiers from observable signals - Other personas:
sonnet
Onboarding runs before COMPONENTS.md exists, so no tier modulation applies. Use the assignments above as written.
Process
Step 0: Gather Project Context
Before spawning agents, collect what's available:
Project structure:
find . -type f -name "*.md" -o -name "*.json" -o -name "*.yaml" -o -name "*.yml" -o -name "*.toml" -o -name "*.tf" -o -name "*.py" -o -name "*.ts" -o -name "*.js" | head -100
Documentation (read, not just list):
cat README.md 2>/dev/null
cat CLAUDE.md 2>/dev/null
cat CONTRIBUTING.md 2>/dev/null
cat DEVELOPMENT.md 2>/dev/null
cat SECURITY.md 2>/dev/null
cat CHANGELOG.md 2>/dev/null | head -50
ls docs/ adrs/ docs/adrs/ runbooks/ 2>/dev/null
Git history — activity, contributors, releases:
git log --oneline -20 2>/dev/null
git shortlog -sn --since="3 months ago" 2>/dev/null
git tag -l --sort=-version:refname | head -10 2>/dev/null
Stack — packages, toolchain versions:
cat package.json 2>/dev/null | head -40
cat pyproject.toml 2>/dev/null | head -40
cat requirements.txt 2>/dev/null | head -20
cat go.mod 2>/dev/null | head -10
cat .tool-versions .nvmrc .python-version mise.toml 2>/dev/null
Infrastructure & service topology (read, not just list):
cat docker-compose*.yml 2>/dev/null
cat Dockerfile* 2>/dev/null
ls -la terraform/ infrastructure/ deploy/ ansible/ 2>/dev/null
cat .env.example 2>/dev/null
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.
- 2mo ago First seen · 574 lines · 47 tokens per session scan A ca275c06a41b
onboard is a skill published in the GitHub repository MotWakorb/ai-agent-dev-team (2 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 6,187 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 2026-08-31.
onboard compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| onboardMotWakorb/ai-agent-dev-team | Skill | 2 | 2mo ago | MIT | A | 47 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |