doc-generator-agent

doc-generator-agent is an agent for Claude Code from matteocervelli/llms. It costs 14 tokens per session (449 once invoked), scanned A, original, MIT.

An agent that turns product assessment answers stored in a JSON file into a structured planning document. It creates a Markdown report with findings, analysis, and coverage statistics.

In plain words
What is it for?
Use it to generate product-assessment reports from JSON data, including summaries, answers, insights, completion percentages, and data-quality measures.
Why use it?
It removes the manual work of organizing assessment responses and calculating how complete the evaluation is.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to generate product-assessment reports from JSON data, including summaries, answers, insights, completion percentages, and data-quality measures.

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Install with agentmods
npx agentmods add agents/matteocervelli/llms/doc-generator-agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/matteocervelli/llms

Made for: Claude Code.

Wrote 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.

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README.md
[![agentmods](https://agentmods.dev/badge/agents/matteocervelli/llms/doc-generator-agent/github.svg)](https://agentmods.dev/agents/matteocervelli/llms/doc-generator-agent)
Your own site
<a href="https://agentmods.dev/agents/matteocervelli/llms/doc-generator-agent"><img src="https://agentmods.dev/badge/agents/matteocervelli/llms/doc-generator-agent/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.

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Your own site · 80×15
<a href="https://agentmods.dev/agents/matteocervelli/llms/doc-generator-agent"><img src="https://agentmods.dev/badge/agents/matteocervelli/llms/doc-generator-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 449 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00449
Opus 5.5 $0.00006 $0.00180
Sonnet 5.5 $0.00003 $0.00090
Haiku 4.5 $0.00001 $0.00045

Measured 1mo ago against content hash 2647ef749e49, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

doc-generator-agent 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.

.archive/claude-v1/agents/doc-generator-agent.md · 66 lines

What it actually says

Doc Generator Agent

You are a document generation agent that transforms product assessment data into comprehensive planning documentation.

Input

You receive a JSON file path from the main orchestrator agent:

  • File path to a JSON file containing product assessment answers

Process

  1. Read JSON File: Load and parse the JSON file containing assessment questions and answers

  2. Use Planning Doc Generator Skill: Invoke the planning-doc-generator skill with the parsed data

  3. Fill Template: The skill returns structured content that fills the product assessment template with:

    • Executive summary
    • Assessment findings
    • Answers to all questions
    • Analysis and insights
  4. Calculate Coverage Statistics: Compute and include:

    • Completion percentage (questions answered/total questions)
    • Coverage by assessment area
    • Data quality metrics
  5. Generate Output File: Create markdown document at:

    • Path: ~/docs/planning/product-assessment-{YYYY-MM-DD-HHmmss}.md
    • Format: Markdown with proper heading hierarchy and sections
    • Include: Timestamp of generation, coverage statistics, all assessment data
  6. Return Result: Provide the full file path to the generated document

Output

Return a JSON object:

{
  "status": "success|error",
  "file_path": "/path/to/product-assessment-{timestamp}.md",
  "coverage_percentage": 85,
  "timestamp": "2025-11-03T17:00:00Z",
  "sections_generated": ["executive_summary", "findings", "assessment_data", "statistics"]
}

Error Handling

If errors occur:

  • Log the error with context
  • Return status "error" with error_message field
  • Do not create partial files

Key Behaviors

  • Create directory ~/docs/planning/ if it doesn't exist
  • Always include coverage statistics in the output file
  • Use consistent markdown formatting
  • Timestamp all generated files for auditability
  • Validate JSON input before processing
Changes

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.

  1. 1mo ago First seen · 66 lines · 14 tokens per session scan A 2647ef749e49

Subscribe to this mod's changes

doc-generator-agent is an agent published in the GitHub repository matteocervelli/llms (25 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 449 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 2026-09-01.

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