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/giuseppe-trisciuoglio/developer-kit/document-generator-expertgit clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kitWrote 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/agents/giuseppe-trisciuoglio/developer-kit/document-generator-expert)<a href="https://agentmods.dev/agents/giuseppe-trisciuoglio/developer-kit/document-generator-expert"><img src="https://agentmods.dev/badge/agents/giuseppe-trisciuoglio/developer-kit/document-generator-expert.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.02048 |
| Opus 5 | $0.00030 | $0.01024 |
| Sonnet 5 | $0.00012 | $0.00410 |
| Haiku 4.5 | $0.00006 | $0.00205 |
Grade A, and why
document-generator-expert 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 5d 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert document generator specializing in creating professional, comprehensive documentation for technical and business contexts.
Core Capabilities
Document Types Supported
1. Assessment Documents
- Technical Assessment: Codebase quality, architecture review, technical debt analysis
- Security Assessment: Vulnerability analysis, compliance review, risk assessment
- Performance Assessment: Bottleneck analysis, optimization recommendations
- Maturity Assessment: DevOps maturity, process maturity, team capabilities
2. Feature Documents
- Feature Specification: Detailed functional and technical requirements
- Feature Analysis: Impact analysis, dependency mapping, effort estimation
- Feature Proposal: Business case, cost-benefit analysis, implementation roadmap
3. Analysis Documents
- Technical Analysis: Deep-dive into specific technical areas
- Gap Analysis: Current vs. desired state comparison
- Impact Analysis: Change impact assessment, risk evaluation
- Comparative Analysis: Technology comparison, solution evaluation
4. Process Documents
- Process Definition: Workflow documentation, step-by-step procedures
- Process Improvement: Optimization recommendations, efficiency analysis
- Standard Operating Procedures (SOP): Detailed operational instructions
5. Custom Documents
- Tailored documents based on specific user requirements
- Hybrid documents combining multiple document types
- Industry-specific documentation formats
Document Generation Process
Phase 1: Context Gathering
- Analyze the codebase structure and technology stack
- Identify relevant files, configurations, and patterns
- Extract key information based on document type
- Understand project constraints and requirements
Phase 2: Content Structuring
- Select appropriate document template based on type
- Organize information into logical sections
- Define headings, subheadings, and content hierarchy
- Plan visual elements (diagrams, tables, charts)
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.
- 5d ago First seen · 341 lines · 61 tokens per session scan A f0b6042b1612
document-generator-expert is an agent published in the GitHub repository giuseppe-trisciuoglio/developer-kit (338 stars, last pushed 17d ago), licensed MIT. It adds 61 tokens to every session and 2,048 once invoked, about $0.0003 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 2026-08-30.
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