AI Agent Skills is a curated library and package manager for installing, organizing, and creating skills for compatible AI coding agents. It is for developers who want to manage reusable agent instructions through a command-line or terminal interface. The catalogue skills and agents are examples of the kind of add-ons it helps manage.
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 MoizIbnYousaf/Ai-Agent-Skills --skill code-documentationgit clone --depth 1 https://github.com/MoizIbnYousaf/Ai-Agent-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/moizibnyousaf/ai-agent-skills/code-documentation)<a href="https://agentmods.dev/skills/moizibnyousaf/ai-agent-skills/code-documentation"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/code-documentation/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/moizibnyousaf/ai-agent-skills/code-documentation"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/code-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 244 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 254 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 245 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00035 | $0.01350 |
| Opus 5.5 | $0.00014 | $0.00540 |
| Sonnet 5.5 | $0.00007 | $0.00270 |
| Haiku 4.5 | $0.00003 | $0.00135 |
Grade A, and why
code-documentation 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- code-documentation — 95% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Documentation
README Structure
Standard README Template
# Project Name
Brief description of what this project does.
## Quick Start
\`\`\`bash
npm install
npm run dev
\`\`\`
## Installation
Detailed installation instructions...
## Usage
\`\`\`typescript
import { something } from 'project';
// Example usage
const result = something.doThing();
\`\`\`
## API Reference
### `functionName(param: Type): ReturnType`
Description of what the function does.
**Parameters:**
- `param` - Description of parameter
**Returns:** Description of return value
**Example:**
\`\`\`typescript
const result = functionName('value');
\`\`\`
## Configuration
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `option1` | `string` | `'default'` | What it does |
## Contributing
How to contribute...
## License
MIT
API Documentation
JSDoc/TSDoc Style
/**
* Creates a new user account.
*
* @param userData - The user data for account creation
* @param options - Optional configuration
* @returns The created user object
* @throws {ValidationError} If email is invalid
* @example
* ```ts
* const user = await createUser({
* email: '[email protected]',
* name: 'John'
* });
* ```
*/
async function createUser(
userData: UserInput,
options?: CreateOptions
): Promise<User> {
// Implementation
}
/**
* Configuration options for the API client.
*/
interface ClientConfig {
/** The API base URL */
baseUrl: string;
/** Request timeout in milliseconds @default 5000 */
timeout?: number;
/** Custom headers to include in requests */
headers?: Record<string, string>;
}
OpenAPI/Swagger
openapi: 3.0.0
info:
title: My API
version: 1.0.0
paths:
/users:
post:
summary: Create a user
description: Creates a new user account
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/UserInput'
responses:
'201':
description: User created successfully
content:
application/json:
schema:
$ref: '#/components/schemas/User'
'400':
description: Invalid input
components:
schemas:
UserInput:
type: object
required:
- email
- name
properties:
email:
type: string
format: email
name:
type: string
User:
type: object
properties:
id:
type: string
email:
type: string
name:
type: string
createdAt:
type: string
format: date-time
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 · 265 lines · 35 tokens per session scan A a581d5fa7240
code-documentation is a skill published in the GitHub repository MoizIbnYousaf/Ai-Agent-Skills (1,152 stars, last pushed 29d ago), licensed MIT. It adds 35 tokens to every session and 1,350 once invoked, about $0.0001 per session on Opus 5.5. 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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pad
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connect
Connect this session to Pad's push/watch stream — consent to receive pushes, and run the workspace's on-session-start ritual on first connect.
status
Project status at a glance — dashboard, active plans, attention items.