technical-documentation

technical-documentation is a skill for Codex from openclaw/clawhub. It costs 21 tokens per session (1,239 once invoked), scanned A, original, MIT.

A skill for creating and reviewing technical documentation and repository instruction files for both people and coding agents.

In plain words
What is it for?
Use it to write or audit docs, AGENTS.md, CONTRIBUTING.md, aliases, issue guidance, pull-request workflows, and documentation structures.
Why use it?
It helps keep onboarding, contribution rules, agent instructions, and product documentation clear, accurate, and maintainable.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions CLAUDE.md; mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to write or audit docs, AGENTS.md, CONTRIBUTING.md, aliases, issue guidance, pull-request workflows, and documentation structures.

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Install with agentmods
npx agentmods add skills/openclaw/clawhub/technical-documentation
About the project

ClawHub is a public registry where OpenClaw users publish, version, search, and install text-based agent skills and OpenClaw packages. It provides web browsing, a CLI-oriented API, moderation, vector search, and artifact hosting for code plugins, bundle plugins, and experimental whole-agent packages. The catalogue skills and agents are entries that can be discovered or used through this registry.

openclaw/clawhub · 9,402 stars · on GitHub · clawhub.ai

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 openclaw/clawhub --skill technical-documentation
Clone the repo
git clone --depth 1 https://github.com/openclaw/clawhub

Made for: Codex.

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 technical-documentation

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaw/clawhub/technical-documentation/github.svg)](https://agentmods.dev/skills/openclaw/clawhub/technical-documentation)
Your own site
<a href="https://agentmods.dev/skills/openclaw/clawhub/technical-documentation"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/technical-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 technical-documentation

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaw/clawhub/technical-documentation"><img src="https://agentmods.dev/badge/skills/openclaw/clawhub/technical-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,239 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00021 $0.01239
Opus 5 $0.00010 $0.00620
Sonnet 5 $0.00004 $0.00248
Haiku 4.5 $0.00002 $0.00124

Measured 5d ago against content hash 67a93dc4b226, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

technical-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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/technical-documentation/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Documentation

Purpose

Produce and review technical documentation that is clear, actionable, and maintainable for both humans and agents, including contributor-governance files and agent instruction files.

When to use

  • Creating or overhauling docs in an existing product/codebase (brownfield).
  • Building evergreen docs meant to stay accurate and reusable over time.
  • Reviewing doc diffs for structure, clarity, and operational correctness.
  • Running full-repo documentation audits that must include both governance files and product docs surfaces (docs/, README*, .md/.mdx/.mdc, Fern/Sphinx/Mintlify-style sources).
  • Updating or reviewing AGENTS.md and/or CONTRIBUTING.md to keep agent and contributor workflows aligned with current repo practices.
  • Improving repository onboarding/docs that include contribution instructions, issue templates, PR flow, and review gates.
  • Designing governance documentation strategy for repos with alias instruction files (for example CLAUDE.md, AGENT.md, .cursorrules, .cursor/rules/*, .agent/, .agents/, .pi/) where AGENTS.md is treated as canonical when present and aliases should be kept as compatibility surfaces.
  • Diagnosing agent-file drift where teams had to prompt iteratively to surface missing files, broken commands, or policy conflicts.
  • Applying repository-specific documentation overlays, including OpenClaw page-type, docs IA, preservation, and validation rules when present.

Workflow

  1. Classify task: build or review; context: brownfield or evergreen.
  2. Inventory full documentation scope early (governance + product docs): AGENTS/CONTRIBUTING/aliases plus docs directories, framework sources, and root/module READMEs.
  3. Detect multilingual scope (README/docs in multiple languages) and define required parity level.
  4. Read references/agent-and-contributing.md for agent instruction and CONTRIBUTING.md workflow rules (inventory, canonical/alias mapping, dual-mode balance, deliverable standards, and precedence/conflict handling).
  5. Read references/principles.md for the governing ruleset (Matt Palmer & OpenAI).
  6. For OpenClaw docs work, read references/openclaw.md before the build/review playbook.
  7. For build tasks, follow references/build.md.
  8. For review tasks, follow references/review.md and proactively detect issues without waiting for repeated prompts.
  9. For complex or high-risk tasks (build or review), it is acceptable to run longer, deeper, and more exhaustive investigations when needed for confidence.
  10. When available, use sub-agents for bounded parallel discovery/review work, then merge outputs into one coherent final deliverable.
  11. Use references/tooling.md when platform/tooling choices affect recommendations.
  12. Run a proactive issue sweep for both governance and docs-content surfaces, and fix high-confidence defects in the same pass unless explicitly asked for report-only mode.
  13. In brownfield mode, prioritize compatibility with current docs IA, tooling, and release state.
  14. In evergreen mode, prioritize timeless wording, update strategy, and durable structure.
  15. Return deliverables plus validation notes, parity status, and remaining gaps.

Read the full file on GitHub · 80 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. 5d ago First seen · 80 lines · 21 tokens per session scan A 67a93dc4b226

Subscribe to this mod's changes

technical-documentation is a skill published in the GitHub repository openclaw/clawhub (9,402 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 1,239 once invoked, about $0.0001 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 2026-09-03.