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 ArabelaTso/Skills-4-SE --skill init-deepgit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/arabelatso/skills-4-se/init-deep)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/init-deep"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/init-deep.svg" alt="Measured on agentmods" height="20"></a>- 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 | $0.00045 | $0.00893 |
| Opus 5 | $0.00023 | $0.00447 |
| Sonnet 5 | $0.00009 | $0.00179 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
init-deep 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Init Deep — Hierarchical Context Generator
Automatically generates layered context files throughout a project's directory tree, giving AI agents directory-specific knowledge without loading the entire codebase into context.
When to Use This Skill
- Setting up a new project for AI-assisted development
- Onboarding AI agents to an existing codebase
- After major restructuring when context files are outdated
- When AI agents lack understanding of project-specific conventions
What This Skill Does
Concept
Create an CLAUDE.md file at each significant directory level:
project/
├── CLAUDE.md # Project-wide: overview, conventions, anti-patterns
├── src/
│ ├── CLAUDE.md # src-specific: architecture, module boundaries
│ ├── api/
│ │ └── CLAUDE.md # API-specific: routes, middleware, auth patterns
│ └── components/
│ └── CLAUDE.md # Component-specific: naming, props, styling
├── tests/
│ └── CLAUDE.md # Test-specific: frameworks, fixtures, patterns
└── infra/
└── CLAUDE.md # Infra-specific: deployment, configs, secrets
When an AI reads src/api/routes/auth.ts, it automatically picks up context from:
project/CLAUDE.md(project-wide)project/src/CLAUDE.md(source conventions)project/src/api/CLAUDE.md(API patterns)
Generation Process
- Scan the project structure (respect
.gitignore) - Analyze each directory:
- What files are here? What do they do?
- What patterns/conventions are used?
- What are the key dependencies?
- What should an AI know before editing files here?
- Generate CLAUDE.md with:
- OVERVIEW: What this directory contains
- STRUCTURE: Key files and their purposes
- WHERE TO LOOK: Task-to-file mapping table
- CONVENTIONS: Naming, patterns, style rules
- ANTI-PATTERNS: What NOT to do here
- COMMANDS: Relevant build/test/run commands
Content Guidelines
Each CLAUDE.md should be:
- Concise — Under 100 lines. AI context window is precious.
- Actionable — "WHERE TO LOOK" tables, not prose descriptions
- Specific — Conventions for THIS directory, not general advice
- Current — Regenerate after major restructuring
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 · 110 lines · 45 tokens per session scan A 76eee16638fe
init-deep is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (250 stars, last pushed 18d ago), licensed Apache-2.0. It adds 45 tokens to every session and 893 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 2026-09-03.
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