product-documentation

product-documentation is a skill for Claude Code from devantler-tech/agent-plugins. It costs 51 tokens per session (1,073 once invoked), scanned A, original, Apache-2.0.

A skill for creating and maintaining documentation websites for software products, including tutorials, task guides, API references and publication checks. It distinguishes newcomers, operators and developers so instructions match their jobs.

In plain words
What is it for?
Use it to plan documentation structure, inspect a product's real commands and settings, write user journeys and check that published instructions reflect the software.
Why use it?
It reduces the risk of documenting guessed commands or behavior that is not actually released. It also helps keep one authoritative reference instead of duplicating documentation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-engineering plugin — 9 skills, 3 agents shipped together

Good fit Use it to plan documentation structure, inspect a product's real commands and settings, write user journeys and check that published instructions reflect the software.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/devantler-tech/agent-plugins/product-documentation
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.

Any agent
npx skills add devantler-tech/agent-plugins --skill product-documentation
Clone the repo
git clone --depth 1 https://github.com/devantler-tech/agent-plugins

Made for: Claude Code.

Or install agentic-engineering, the plugin that ships this one along with the rest of its 9 skills, 3 agents.

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.

agentmods badge for product-documentation

README.md
[![agentmods](https://agentmods.dev/badge/skills/devantler-tech/agent-plugins/product-documentation/github.svg)](https://agentmods.dev/skills/devantler-tech/agent-plugins/product-documentation)
Your own site
<a href="https://agentmods.dev/skills/devantler-tech/agent-plugins/product-documentation"><img src="https://agentmods.dev/badge/skills/devantler-tech/agent-plugins/product-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.

agentmods 80×15 button for product-documentation

Your own site · 80×15
<a href="https://agentmods.dev/skills/devantler-tech/agent-plugins/product-documentation"><img src="https://agentmods.dev/badge/skills/devantler-tech/agent-plugins/product-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,073 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 $0.00051 $0.01073
Opus 5.5 $0.00020 $0.00429
Sonnet 5.5 $0.00010 $0.00215
Haiku 4.5 $0.00005 $0.00107

Measured yesterday against content hash 9ed70c928eab, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

product-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 yesterday.

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.

plugins/agentic-engineering/skills/product-documentation/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product documentation

Help a user achieve a real result with the product. A successful build proves the site can be generated; it does not prove the instructions work or the public site is available.

Establish the reader and the contract

Identify the next useful user journey from the request, existing documentation and product interfaces. Separate a newcomer trying the product from an operator installing it and a developer integrating it. Ask only when a missing decision would change the work materially; use the repository's conventions for routine choices.

Read the relevant commands, schemas, configuration defaults, release artifacts and existing guides before describing their behavior. Distinguish released behavior from default-branch development, opt-in features and controlled experimental evidence. Preserve old installation identifiers until their migration actually ships. Never fill a gap with a plausible-looking command or a maturity claim.

Keep one canonical reference for each contract. Link to existing detailed guides or generate reference from the actual interface when the repository supports it; do not maintain a second copied API manual.

Organize around the user's need

Use the Diataxis framework to choose a page's purpose, without forcing every product into identical navigation:

Need Content to provide
Learn by doing A small tutorial with prerequisites, ordered steps, observable results and cleanup
Complete a task A focused guide starting from the user's existing situation, including consequential choices and recovery
Look up an interface Accurate fields, defaults, accepted values, constraints and examples, tied to a version
Understand a design Explanations of responsibilities, concepts and tradeoffs, linked from the relevant tasks

Give the home page a short product explanation and clear routes to a first result and common tasks. Choose concrete navigation labels from what users do or look up. Keep troubleshooting near the failing task: symptom, likely cause, a diagnostic step, a correction and the result that confirms recovery.

Read the full file on GitHub · 98 lines

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. yesterday First seen · 98 lines · 51 tokens per session scan A 9ed70c928eab

Subscribe to this mod's changes

product-documentation is a skill published in the GitHub repository devantler-tech/agent-plugins (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 51 tokens to every session and 1,073 once invoked, about $0.0002 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 2026-10-16.

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