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 DollarDill/beads-superpowers --skill write-documentationgit clone --depth 1 https://github.com/DollarDill/beads-superpowersWrote 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/dollardill/beads-superpowers/write-documentation)<a href="https://agentmods.dev/skills/dollardill/beads-superpowers/write-documentation"><img src="https://agentmods.dev/badge/skills/dollardill/beads-superpowers/write-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.
<a href="https://agentmods.dev/skills/dollardill/beads-superpowers/write-documentation"><img src="https://agentmods.dev/badge/skills/dollardill/beads-superpowers/write-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.06477 |
| Opus 5.5 | $0.00022 | $0.02591 |
| Sonnet 5.5 | $0.00011 | $0.01295 |
| Haiku 4.5 | $0.00006 | $0.00648 |
Grade A, and why
write-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 2mo 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Documentation
Announce at start: "I'm using the write-documentation skill to write human-quality prose."
Purpose
Write for the actual context.
The goal is prose that fits the medium, the task, and the reader. If it does that well, it will usually read as human-authored as a side effect. Do not optimize for "sounding human." Do not optimize for beating detectors. Both produce worse writing.
When to Use
- Writing or substantially rewriting any human-facing text
- Creating documentation from scratch (README, guides, tutorials, API docs)
- Drafting blog posts, articles, emails, or Slack messages
- Rewriting a section flagged by
document-releaseas needing major revision - User asks for help with prose quality, tone, or style
- Writing PR descriptions, release notes, or CHANGELOG entries
When NOT to Use
- Code comments and docstrings (for developers reading code)
- Commit messages (their own conventions)
- Agent prompts, skill files, CLAUDE.md (for AI agents, not human readers)
- Minor edits: fixing a typo, updating a version number, adding a link
document-releasework that is factual syncing, not prose rewriting
Beads Integration
bd create "Write: <description of what's being written>" -t task
Closed with evidence at Step 6 — the single source of truth for the close command.
Core Workflow
digraph write_documentation {
rankdir=TB;
node [shape=box, style=rounded];
context [label="Step 1: Identify Context\nMedium, audience, reader need, register"];
structure [label="Step 2: Structure Decision\nTask-oriented → answer first\nLong-form → through-line + example"];
draft [label="Step 3: Draft\nRules internalized, not mechanical\nFocus on substance"];
checks [label="Step 4: Required Checks\nShort: 1-3, 5, 7, 10\nLong: all 1-10"];
cut [label="Step 5: Cut\nGeneric, ceremonial, over-engineered"];
present [label="Step 6: Present to User"];
revise [label="User requests changes?" shape=diamond];
done [label="Close bead with evidence" shape=doublecircle];
context -> structure -> draft -> checks -> cut -> present -> revise;
revise -> draft [label="yes"];
revise -> done [label="no"];
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 382 lines · 56 tokens per session scan A 14ed5dc6e453
write-documentation is a skill published in the GitHub repository DollarDill/beads-superpowers (33 stars, last pushed 6d ago), licensed MIT. It adds 56 tokens to every session and 6,477 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 2026-08-30.
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