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 IdoCohen560/claude-unity-game-studio --skill onboardgit clone --depth 1 https://github.com/IdoCohen560/claude-unity-game-studioWrote 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/idocohen560/claude-unity-game-studio/onboard)<a href="https://agentmods.dev/skills/idocohen560/claude-unity-game-studio/onboard"><img src="https://agentmods.dev/badge/skills/idocohen560/claude-unity-game-studio/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/idocohen560/claude-unity-game-studio/onboard"><img src="https://agentmods.dev/badge/skills/idocohen560/claude-unity-game-studio/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 | $0.00040 | $0.00616 |
| Opus 5 | $0.00020 | $0.00308 |
| Sonnet 5 | $0.00008 | $0.00123 |
| Haiku 4.5 | $0.00004 | $0.00062 |
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 5d 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.
This is a copy
100% identical to onboard — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 1: Load Project Context
Read CLAUDE.md for project overview and standards.
Read the relevant agent definition from .claude/agents/ if a specific role is specified.
Phase 2: Scan Relevant Area
- For programmers: scan
src/for architecture, patterns, key files - For designers: scan
design/for existing design documents - For narrative: scan
design/narrative/for world-building and story docs - For QA: scan
tests/for existing test coverage - For production: scan
production/for current sprint and milestone
Read recent changes (git log if available) to understand current momentum.
Phase 3: Generate Onboarding Document
# Onboarding: [Role/Area]
## Project Summary
[2-3 sentence summary of what this game is and its current state]
## Your Role
[What this role does on this project, key responsibilities, who you report to]
## Project Architecture
[Relevant architectural overview for this role]
### Key Directories
| Directory | Contents | Your Interaction |
|-----------|----------|-----------------|
### Key Files
| File | Purpose | Read Priority |
|------|---------|--------------|
## Current Standards and Conventions
[Summary of conventions relevant to this role from CLAUDE.md and agent definition]
## Current State of Your Area
[What has been built, what is in progress, what is planned next]
## Current Sprint Context
[What the team is working on now and what is expected of this role]
## Key Dependencies
[What other roles/systems this role interacts with most]
## Common Pitfalls
[Things that trip up new contributors in this area]
## First Tasks
[Suggested first tasks to get oriented and productive]
1. [Read these documents first]
2. [Review this code/content]
3. [Start with this small task]
## Questions to Ask
[Questions the new contributor should ask to get fully oriented]
Phase 4: Save Document
Present the onboarding document to the user.
Ask: "May I write this to production/onboarding/onboard-[role]-[date].md?"
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.
- 5d ago First seen · 97 lines · 40 tokens per session scan A fbf7f691226e
onboard is a skill published in the GitHub repository IdoCohen560/claude-unity-game-studio (18 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 616 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to onboard, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
archive-issue
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start-task
Bootstrap a task into a synced feature branch — one shot, zero confirmations. Detects the source from the args: GitHub issue ('#100', 'issue 100', 'gh issue 100', or bare '100'), Jira key ('PROJ-42'), or a local spec file path; ad-hoc conversation otherwise. Fetches the task, derives {type}/{number}/{slug}, syncs the…
abd-status
ABD Status agent: read-only dashboard of tasks, findings by severity, blockers, and next actions across all handoff artifacts.
swarm
Run a multi-agent audit of a codebase by spawning specialized parallel subagents (security, performance, tests, architecture, dead-code), then synthesize their findings into a single prioritized action plan. Use this whenever the user runs /swarm, asks to "audit the repo," "review this codebase," "find issues across…
standup
Write a client update — identify what was done, what's next, and surface risks before they become surprises. End of day, start of day, or end of week.
offboard
Walk through the Designer/Developer wrap-up checklist for offboarding a client engagement — conversationally, one item at a time.