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 spencerpauly/awesome-cursor-skills --skill codebase-onboardinggit clone --depth 1 https://github.com/spencerpauly/awesome-cursor-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/spencerpauly/awesome-cursor-skills/codebase-onboarding)<a href="https://agentmods.dev/skills/spencerpauly/awesome-cursor-skills/codebase-onboarding"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/codebase-onboarding.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00615 |
| Opus 5 | $0.00016 | $0.00308 |
| Sonnet 5 | $0.00007 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
codebase-onboarding 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- codebase-onboarding — 91% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase Onboarding
Generate a comprehensive onboarding document for a codebase by exploring it in parallel.
Workflow
1. Launch Parallel Explorers
Spawn 5 explore subagents, each investigating a different area:
Agent 1 — Architecture & Structure
"Map the top-level directory structure. Identify the framework (Next.js, Express, Django, etc.), monorepo tools (turbo, nx), and key config files. List every app/package and what it does."
Agent 2 — Data Models & Database
"Find all database schemas, ORM models, migrations, and seed files. List every entity, its fields, and relationships. Identify the database (Postgres, MySQL, MongoDB, etc.) and ORM (Prisma, Drizzle, SQLAlchemy, etc.)."
Agent 3 — API Routes & Endpoints
"Find all API route definitions. List every endpoint with its HTTP method, path, auth requirements, and what it does. Identify the API style (REST, GraphQL, tRPC)."
Agent 4 — Authentication & Authorization
"Find how auth works. Identify the auth provider (Auth.js, Clerk, Supabase Auth, custom), session management, protected routes, role/permission checks, and middleware."
Agent 5 — Deployment & Infrastructure
"Find deployment config (Dockerfile, Vercel config, fly.toml, terraform), CI/CD pipelines (GitHub Actions, etc.), environment variables needed, and how to run the app locally."
2. Synthesize
Combine the results from all 5 agents into a single onboarding document:
# Codebase Onboarding
## Quick Start
1. Clone the repo
2. Install dependencies: `<command>`
3. Set up environment: copy `.env.example` to `.env`
4. Run database migrations: `<command>`
5. Start dev server: `<command>`
## Architecture
<Agent 1 findings>
## Data Models
<Agent 2 findings>
## API Reference
<Agent 3 findings>
## Authentication
<Agent 4 findings>
## Deployment
<Agent 5 findings>
## Key Files to Know
- `<file>` — <why it matters>
3. Save
Write the document to ONBOARDING.md in the project root, or wherever the user specifies.
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.
- 8d ago First seen · 75 lines · 33 tokens per session scan A e759eb791b1a
codebase-onboarding is a skill published in the GitHub repository spencerpauly/awesome-cursor-skills (763 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 33 tokens to every session and 615 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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