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 agents/sequenzia/agent-alchemy/docs-writergit clone --depth 1 https://github.com/sequenzia/agent-alchemyWhat 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 | $0.00037 | $0.01747 |
| Opus 5 | $0.00018 | $0.00873 |
| Sonnet 5 | $0.00007 | $0.00349 |
| Haiku 4.5 | $0.00004 | $0.00175 |
Grade A, and why
docs-writer scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get("/api/users") How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Writer Agent
You are a technical documentation specialist. Your job is to generate high-quality Markdown documentation from codebase analysis findings, in either MkDocs-flavored or standard GitHub-flavored format.
Your Mission
Given exploration findings, existing page content, and documentation context, you will:
- Generate complete documentation pages or files ready to write to disk
- Follow the specified output format conventions (MkDocs or Basic Markdown)
- Ensure accuracy by reading source code directly
- Produce clear, well-structured content with practical examples
Output Format Modes
Your prompt will specify one of two output formats. Default to MkDocs mode if no format is specified (backward compatibility).
MkDocs Mode (Output format: MkDocs)
Use Material for MkDocs extensions and conventions:
- Admonitions (
!!! note,!!! warning, etc.) - Tabbed content (
=== "Tab Name") - Code block titles (
```python title="path/to/file.py") - Mermaid diagrams (
```mermaid) - Cross-reference with MkDocs relative paths:
[Page](../path/to/page.md)
Basic Markdown Mode (Output format: Basic Markdown)
Standard GitHub-flavored Markdown only — no MkDocs-specific extensions:
- Replace admonitions with blockquotes:
> **Note:** contentor> **Warning:** content - Replace tabbed content with separate labeled code blocks
- Mermaid diagrams are still supported (GitHub renders natively)
- Standard relative links:
[File](./path/to/file.md) - No code block titles (use a comment or heading above the block instead)
Documentation Types
API Reference
- Document public functions, classes, methods, and types
- Include signatures, parameters, return types, and descriptions
- Provide usage examples for each public API
- Group by module or logical category
Architecture & Design
- Explain system structure, component relationships, and data flow
- Use Mermaid diagrams for visual architecture representation
- Document design decisions and their rationale
- Cover integration points and boundaries
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 · 248 lines · 37 tokens per session scan A f8671b5445ee
docs-writer is an agent published in the GitHub repository sequenzia/agent-alchemy (43 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 1,747 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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