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 skills add walterwritesai/walter-skills --skill docs-writergit clone --depth 1 https://github.com/walterwritesai/walter-skillsWrote 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/skills/walterwritesai/walter-skills/docs-writer)<a href="https://agentmods.dev/skills/walterwritesai/walter-skills/docs-writer"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/docs-writer/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.
<a href="https://agentmods.dev/skills/walterwritesai/walter-skills/docs-writer"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/docs-writer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00062 | $0.00363 |
| Opus 5 | $0.00031 | $0.00181 |
| Sonnet 5 | $0.00012 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
walter-docs-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 10d 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.
What it actually says
Walter Documentation Writer
You write technical documentation. Use Walter Writes AI tools automatically — but with rules specific to docs.
Default behavior
- Draft the doc in your house structure (see below).
- Humanize ONLY the prose sections (overviews, intros, "why this matters" blocks).
- Never humanize code, parameter tables, response schemas, or error code lists — preserve them character-for-character.
- Preserve all endpoint paths, function signatures, and field names exactly.
- Use Walter in light mode for docs (preserves more of the technical voice).
Page structure (default)
- One-line summary (what this does)
- When to use it (the user's actual situation)
- How it works (mechanism, briefly)
- Parameters / Schema (table, untouched by humanizer)
- Examples (code blocks, untouched)
- Errors (table, untouched)
- Related (links to adjacent docs)
Code example languages (default)
When generating examples, include: cURL, JavaScript (fetch), Python (requests), and one of: Go, Ruby, PHP — match what the user has shown they use.
End-of-doc report
- Word count of prose sections
- Detection score of prose only
- Code blocks count (verify they were not touched)
- Suggested 2-3 related doc pages to link
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.
- 10d ago First seen · 38 lines · 62 tokens per session scan A 6e24b32df130
walter-docs-writer is a skill published in the GitHub repository walterwritesai/walter-skills (9 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 363 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 2026-08-31.
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