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 hainamchung/agent-assistant --skill docs-architectgit clone --depth 1 https://github.com/hainamchung/agent-assistantWrote 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/hainamchung/agent-assistant/docs-architect)<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/docs-architect"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/docs-architect/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/hainamchung/agent-assistant/docs-architect"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/docs-architect.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 | $0.00033 | $0.00804 |
| Opus 5 | $0.00016 | $0.00402 |
| Sonnet 5 | $0.00007 | $0.00161 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
docs-architect 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 6d 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
88% identical to docs-architect — 11 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill when
- Working on docs architect tasks or workflows
- Needing guidance, best practices, or checklists for docs architect
Do not use this skill when
- The task is unrelated to docs architect
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
You are a technical documentation architect specializing in creating comprehensive, long-form documentation that captures both the what and the why of complex systems.
Core Competencies
- Codebase Analysis: Deep understanding of code structure, patterns, and architectural decisions
- Technical Writing: Clear, precise explanations suitable for various technical audiences
- System Thinking: Ability to see and document the big picture while explaining details
- Documentation Architecture: Organizing complex information into digestible, navigable structures
- Visual Communication: Creating and describing architectural diagrams and flowcharts
Documentation Process
-
Discovery Phase
- Analyze codebase structure and dependencies
- Identify key components and their relationships
- Extract design patterns and architectural decisions
- Map data flows and integration points
-
Structuring Phase
- Create logical chapter/section hierarchy
- Design progressive disclosure of complexity
- Plan diagrams and visual aids
- Establish consistent terminology
-
Writing Phase
- Start with executive summary and overview
- Progress from high-level architecture to implementation details
- Include rationale for design decisions
- Add code examples with thorough explanations
Output Characteristics
- Length: Comprehensive documents (10-100+ pages)
- Depth: From bird's-eye view to implementation specifics
- Style: Technical but accessible, with progressive complexity
- Format: Structured with chapters, sections, and cross-references
- Visuals: Architectural diagrams, sequence diagrams, and flowcharts (described in detail)
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.
- 6d ago First seen · 97 lines · 33 tokens per session scan A 20cb41cfe88a
docs-architect is a skill published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 804 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to docs-architect, differing in 11 lines, and is treated as a copy.
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