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 skills/jeremydev87/codingbuddy/onboardnpx skills add JeremyDev87/codingbuddy --skill onboardgit clone --depth 1 https://github.com/JeremyDev87/codingbuddyWhat 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 | $0.00035 | $0.01280 |
| Opus 5 | $0.00017 | $0.00640 |
| Sonnet 5 | $0.00007 | $0.00256 |
| Haiku 4.5 | $0.00003 | $0.00128 |
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 2d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboard: New Project Setup
Overview
Guide users through setting up codingbuddy in a new project via interactive, step-by-step onboarding. Detect the tech stack automatically, generate configuration, and create adapter files for their AI tools.
Step 1: Project Scanning
Scan the project root to detect:
Package managers & languages:
package.json→ Node.js/TypeScript (check fortypescriptdep)requirements.txt/pyproject.toml/setup.py→ Pythongo.mod→ GoCargo.toml→ Rustpom.xml/build.gradle→ Java/KotlinGemfile→ Rubycomposer.json→ PHP
Frameworks (from dependency files):
- React, Next.js, Vue, Angular, Svelte, Express, NestJS, Django, Flask, FastAPI, Spring Boot, Rails, Laravel, Gin, Echo, etc.
Test setup:
- Jest, Vitest, Mocha, Pytest, Go test, JUnit, RSpec, PHPUnit, etc.
Monorepo indicators:
workspacesin package.json,lerna.json,pnpm-workspace.yaml,nx.json,turbo.json
AI tools already present:
.cursor/→ Cursor.claude/→ Claude Code.antigravity/→ Antigravity (Gemini).codex/→ Codex.q/→ Amazon Q.kiro/→ Kiro.github/copilot/→ GitHub Copilot
After scanning, present findings to the user:
Detected:
- Language: TypeScript
- Framework: Next.js 14, React 18
- Test: Vitest
- Monorepo: Yarn workspaces
- AI tools: .claude/ (existing)
Ask: "Does this look correct? Anything to add or change?" (use AskUserQuestion)
Step 2: Generate codingbuddy.config.json
Based on detected info, generate a draft config:
{
"language": "en",
"techStack": {
"languages": ["typescript"],
"frameworks": ["nextjs", "react"],
"testing": ["vitest"],
"packageManager": "yarn"
},
"architecture": {
"pattern": "layered",
"monorepo": true
},
"agents": {
"primary": "software-engineer",
"specialists": ["frontend-developer", "test-engineer"]
}
}
Ask the user to confirm or adjust:
- Communication language (en, ko, ja, zh, es, etc.)
- Primary agent selection (show top 3 recommendations based on tech stack)
- Architecture pattern (layered, clean, hexagonal, or custom)
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.
- 2d ago First seen · 151 lines · 35 tokens per session scan A 3224ca1c5f29
onboard is a skill published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 1,280 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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