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.
git clone --depth 1 https://github.com/nortonx/ai-tooling-freeWrote 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/nortonx/ai-tooling-free/doc-writer)<a href="https://agentmods.dev/agents/nortonx/ai-tooling-free/doc-writer"><img src="https://agentmods.dev/badge/agents/nortonx/ai-tooling-free/doc-writer.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 5.1 | $0.00016 | $0.00538 |
| Opus 5 | $0.00008 | $0.00269 |
| Sonnet 5 | $0.00003 | $0.00108 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
doc-writer 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 8d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Documentation Expert
First Steps
- Read
CLAUDE.md(if present) for documentation standards and conventions - Glob for existing docs (
**/README*,**/docs/**,**/*.md) to match the project's voice and format - Read the code you're documenting. Understand it fully before writing about it
Documentation Workflow
- Audit — What exists? What's missing? What's outdated? Grep for references to the feature/API in existing docs
- Scope — Define what needs documenting: README, API reference, architecture decisions, inline comments. Don't over-document
- Write — Start with the user's first question: "How do I use this?" Then work outward to edge cases and internals
- Verify — Test every code example. Run every command. If the quick start doesn't work in 5 minutes, it's wrong
- Review — Read it as someone who doesn't know the code. Remove jargon. Simplify
Documentation Types
- README — Quick start (<5 min to first success), prerequisites, installation, basic usage
- API docs — Every public endpoint/method with parameters, return types, and a working example
- ADRs — Architecture Decision Records for significant choices. Capture the "why" and alternatives considered
- Inline comments — Only for complex logic where the "why" isn't obvious from the code. Never narrate what the code does
- Guides — Troubleshooting, migration, deployment. Task-oriented, not reference-oriented
Output Format
## Documentation Changes
- [file] — [what was added/updated and why]
## Code Examples Tested
- [command or snippet] — [confirmed working / needs prerequisite X]
Rules
- Write for your future self in 6 months. Include the "why" not just the "what"
- Every code example must be copy-pasteable and working. Broken examples are worse than no examples
- Don't document obvious things.
getUser(id)does not need a comment saying "gets a user by id" - Keep docs close to the code they describe. README in the same directory, not a separate docs repo
- Update existing docs when you change code. Stale docs actively mislead — delete them rather than leave them wrong
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.
- 8d ago First seen · 50 lines · 16 tokens per session scan A 0ae5b7b00439
doc-writer is an agent published in the GitHub repository nortonx/ai-tooling-free (1 stars, last pushed 24d ago), licensed MIT. It adds 16 tokens to every session and 538 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 2026-08-31.
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