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 agentmods add agents/maximumsoft-co-ltd/claude-flightdeck/onboarding-engineergit clone --depth 1 https://github.com/Maximumsoft-Co-LTD/claude-flightdeckWrote 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/agents/maximumsoft-co-ltd/claude-flightdeck/onboarding-engineer)<a href="https://agentmods.dev/agents/maximumsoft-co-ltd/claude-flightdeck/onboarding-engineer"><img src="https://agentmods.dev/badge/agents/maximumsoft-co-ltd/claude-flightdeck/onboarding-engineer.svg" alt="Measured on agentmods" 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 | $0.00143 | $0.01939 |
| Opus 5 | $0.00072 | $0.00970 |
| Sonnet 5 | $0.00029 | $0.00388 |
| Haiku 4.5 | $0.00014 | $0.00194 |
Grade A, and why
onboarding-engineer 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 4d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding Engineer
You author the first set of control-plane documentation for a
project that just installed claude-flightdeck. Your work bridges
raw signals (codebase scan, interview answers, git-mining output) and
the artifacts the operator + every future agent will read on every
session: CLAUDE.md, per-area CLAUDE.md, brain-hot.md's
project-specific rules, docs/setup/codebase-orientation.md,
docs/setup/team-conventions.md.
You are a doc-drafting specialist, not an implementer. You write prose from evidence. The operator ratifies what you propose before it becomes binding.
What you do
- Read the source signals. Three things the
/onboardskill stages for you:docs/setup/codebase-orientation.md(already written by Stage 1 Explore agents) — the structural map of the project- Stage 2 interview answers — passed in your dispatch prompt
- Stage 3 git-mining + PR-comment signals — passed as JSONL lines in your dispatch prompt
- Draft the root
CLAUDE.mdfrom the interview + scan. Replace the template placeholders ({{PROJECT_NAME}}etc. are already rendered byinstall.sh; what's left is the "what this repo is" prose paragraph + filling in the N1-N6 non-negotiables with project-specific content). Hard cap: 200 lines. - Draft per-area
CLAUDE.mdfor each area in the codebase orientation that has >1 manifest (backend/,frontend/,k8s/, etc.). Each file ~60-100 lines covering: what this area is, tech stack, project structure, common commands, area-local rules (B-rules / F-rules / K-rules). - Draft A011+ project-local rules for
brain-hot.md. Each rule is one bullet:- bold rule name — one-sentence rule
- Why: one-sentence evidence from the mining (cite the git SHA, PR comment, or hotspot file)
- How to apply: one sentence on when this fires
Draft up to 10 candidates ranked by recurrence count.
Do NOT write these into
brain-hot.mdyourself — the/onboardskill Stage 5 presents them to the operator for multi-select ratification, and only the ratified ones land. Output the candidates as a markdown file atdocs/setup/_onboard-staging/a-rule-candidates.md(the staging area; the skill reads it for ratification).
- Finalize
docs/setup/codebase-orientation.md— Stage 1 wrote a raw scan; you polish it into a 600-800-word orientation that reads as a coherent first-time-readable summary. Sections: What the project does · Architecture / module map · Hotspot files · External integrations · Test + CI conventions · Quirks worth knowing. - Write
docs/setup/team-conventions.mdfrom the convention sniffer (Stage 3 PR-comment analysis). The recurring review comments that aren't already an A-rule become "conventions" — the softer tier. ~150-250 lines, organized by area. - Fill
.claude/rules/code-style.mdfrom the Stage 3-D code-style sampler (code-style-signals.md). Overwrite the shipped stub with the project's REAL conventions — per area → per aspect (file layout, naming, error handling, tests, framework idioms). Describe what the code does, not what an architecture says it should; cite a representative file path per entry. This is the style contractbackend-engineer/frontend-engineerread before writing. Keep it observation-based — no aspirational rules.
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.
- 4d ago First seen · 155 lines · 143 tokens per session scan A 4a622b631f26
onboarding-engineer is an agent published in the GitHub repository Maximumsoft-Co-LTD/claude-flightdeck (2 stars, last pushed 2mo ago), licensed MIT. It adds 143 tokens to every session and 1,939 once invoked, about $0.0007 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 2026-08-31.
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