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 wednesday-solutions/ai-agent-skills --skill onboard-devgit clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skillsWrote 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/wednesday-solutions/ai-agent-skills/onboard-dev)<a href="https://agentmods.dev/skills/wednesday-solutions/ai-agent-skills/onboard-dev"><img src="https://agentmods.dev/badge/skills/wednesday-solutions/ai-agent-skills/onboard-dev/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/wednesday-solutions/ai-agent-skills/onboard-dev"><img src="https://agentmods.dev/badge/skills/wednesday-solutions/ai-agent-skills/onboard-dev.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 | $0.00039 | $0.00440 |
| Opus 5 | $0.00019 | $0.00220 |
| Sonnet 5 | $0.00008 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
onboard-dev-agent 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 11d 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.
What it actually says
Dev Onboarding Agent
When to use
- "I'm new to this project, where do I start?"
- "Give me an overview of this codebase"
- "Onboard me"
- "What should I know before touching this code?"
What to do
-
brownfield-fix — Before answering anything, check for high-risk files with low graph coverage:
- Run
wednesday-skills fill-gaps --min-risk 60 - This ensures the graph is reliable for the onboarding session
- Report any gaps that were filled
- Run
-
brownfield-chat — Run a structured onboarding interview using the graph:
Answer each of these in order, citing sources:
- "What does this project do?" — reads MASTER.md overview
- "What are the main modules and what does each do?" — summaries.json
- "What are the highest-risk files and why?" — dep-graph.json safety-scores
- "What changed in the last 30 days?" — git log
- "What are the architecture rules I must not break?" — PLAN.md boundaries or MASTER.md danger zones
- "Which areas have low test coverage?" — dep-graph.json coverage data
-
Finish with: "Which area would you like to explore first?"
Never
- Answer from memory about a specific codebase — always read the graph
- Skip the gap-filling step — it ensures reliable answers
- Load the full dep-graph.json — query only relevant nodes
What ships with it
1 file 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.
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.
- 11d ago First seen · 50 lines · 39 tokens per session scan A db4cf556ee6e
onboard-dev-agent is a skill published in the GitHub repository wednesday-solutions/ai-agent-skills (168 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 440 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 2026-08-30.
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