Borrowing it
Nothing to install: this file belongs to kintecus/build. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kintecus/build/main/.claude/skills/onboard-project/SKILL.mdgit clone --depth 1 https://github.com/kintecus/buildWrote 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/kintecus/build/onboard-project)<a href="https://agentmods.dev/skills/kintecus/build/onboard-project"><img src="https://agentmods.dev/badge/skills/kintecus/build/onboard-project/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/kintecus/build/onboard-project"><img src="https://agentmods.dev/badge/skills/kintecus/build/onboard-project.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 | $0.00062 | $0.00966 |
| Opus 5.5 | $0.00025 | $0.00386 |
| Sonnet 5.5 | $0.00012 | $0.00193 |
| Haiku 4.5 | $0.00006 | $0.00097 |
Grade A, and why
onboard-project 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboard Project
Set up a new project in the PM workspace through a structured onboarding flow.
Usage
/onboard-project {project-name}
Workflow
Step 1: Scaffold
Create the project folder structure under projects/{project-name}/:
{project-name}/
raw/
docs/
INDEX.md
decisions/
comms/
If raw/ already contains files, note them for processing in Step 2.
Step 2: Process raw inputs
For each file in raw/:
- Read the file (PDF, text, export, etc.)
- Generate a structured markdown summary following the process-document skill
- Save to
docs/with a matching name - Update
docs/INDEX.md
If raw/ is empty, skip to Step 3.
Step 3: Interview
Conduct a structured interview to populate the project brief. Use processed docs as starting context so you don't ask about things you already know.
Interview areas (adapt based on what you already learned from docs):
- Project basics: What is this project? Why does it exist?
- Goals and success: What does good look like? How will we know?
- Stakeholders: Key people, roles, what they care about, political dynamics.
- Constraints: Time, budget, tech, organizational limits.
- Risks: What worries you most?
- Your role: What are you responsible for? What authority do you have?
- Ways of working: How will you operate day-to-day on this project? What's your rhythm? What tools? How do you want to capture and track things?
- Agent persona: What kind of PM partner do you need on this project? Think about: archetypes (senior TPM, product strategist, program manager, builder-operator), document standards (Amazon 6-pager precision vs. lean one-pagers), decision rigor (log everything vs. only key calls), communication style (formal/precise vs. casual/fast). If the PM isn't sure, suggest an archetype based on what you've learned about the project so far.
Ask 2-3 questions at a time. Don't overwhelm. Let the conversation flow naturally. Use processed docs to pre-fill what you can and validate with the PM rather than asking from scratch.
What ships with it
3 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.
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 · 91 lines · 62 tokens per session scan A b5f991e7442b
onboard-project is a skill published in the GitHub repository kintecus/build (2 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 966 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-project compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| onboard-projectkintecus/build | Skill | 2 | 3mo ago | MIT | A | 62 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 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 |