Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/naimkatiman/continuous-improvementnpx agentmods add skills/naimkatiman/continuous-improvement/deepinitWrote 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/naimkatiman/continuous-improvement/deepinit)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/deepinit"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/deepinit/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/naimkatiman/continuous-improvement/deepinit"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/deepinit.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 | $0.00013 | $0.01947 |
| Opus 5.5 | $0.00005 | $0.00779 |
| Sonnet 5.5 | $0.00003 | $0.00389 |
| Haiku 4.5 | $0.00001 | $0.00195 |
Grade A, and why
deepinit 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 1mo 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 deepinit — 69 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 — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Init Skill
Creates comprehensive, hierarchical AGENTS.md documentation across the entire codebase.
Core Concept
AGENTS.md files serve as AI-readable documentation that helps agents understand:
- What each directory contains
- How components relate to each other
- Special instructions for working in that area
- Dependencies and relationships
Hierarchical Tagging System
Every AGENTS.md (except root) includes a parent reference tag:
<!-- Parent: ../AGENTS.md -->
This creates a navigable hierarchy:
/AGENTS.md ← Root (no parent tag)
├── src/AGENTS.md ← <!-- Parent: ../AGENTS.md -->
│ ├── src/components/AGENTS.md ← <!-- Parent: ../AGENTS.md -->
│ └── src/utils/AGENTS.md ← <!-- Parent: ../AGENTS.md -->
└── docs/AGENTS.md ← <!-- Parent: ../AGENTS.md -->
AGENTS.md Template
<!-- Parent: {relative_path_to_parent}/AGENTS.md -->
<!-- Generated: {timestamp} | Updated: {timestamp} -->
# {Directory Name}
## Purpose
{One-paragraph description of what this directory contains and its role}
## Key Files
{List each significant file with a one-line description}
| File | Description |
|------|-------------|
| `file.ts` | Brief description of purpose |
## Subdirectories
{List each subdirectory with brief purpose}
| Directory | Purpose |
|-----------|---------|
| `subdir/` | What it contains (see `subdir/AGENTS.md`) |
## For AI Agents
### Working In This Directory
{Special instructions for AI agents modifying files here}
### Testing Requirements
{How to test changes in this directory}
### Common Patterns
{Code patterns or conventions used here}
## Dependencies
### Internal
{References to other parts of the codebase this depends on}
### External
{Key external packages/libraries used}
<!-- MANUAL: Any manually added notes below this line are preserved on regeneration -->
Execution Workflow
Step 1: Map Directory Structure
Task(subagent_type="explore", model="haiku",
prompt="List all directories recursively. Exclude: node_modules, .git, dist, build, __pycache__, .venv, coverage, .next, .nuxt")
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.
- 1mo ago First seen · 322 lines · 13 tokens per session scan A 99d13c92dfcc
deepinit is a skill published in the GitHub repository naimkatiman/continuous-improvement (9 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 1,947 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to deepinit, differing in 69 lines, and is treated as a copy.
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