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 fmind/dot --skill draft-docgit clone --depth 1 https://github.com/fmind/dotWrote 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/fmind/dot/draft-doc)<a href="https://agentmods.dev/skills/fmind/dot/draft-doc"><img src="https://agentmods.dev/badge/skills/fmind/dot/draft-doc/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/fmind/dot/draft-doc"><img src="https://agentmods.dev/badge/skills/fmind/dot/draft-doc.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 | $0.00026 | $0.01534 |
| Opus 5.5 | $0.00010 | $0.00614 |
| Sonnet 5.5 | $0.00005 | $0.00307 |
| Haiku 4.5 | $0.00003 | $0.00153 |
Grade A, and why
draft-doc 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 today.
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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draft Doc
Create and update Google Docs deliverables in Google Drive with gws, following stakeholder-writing (outlines, style, checklist). gws owns authentication, Drive queries, and request mechanics.
Format Choice
- Native Drive Markdown (
.md,mimeType: text/markdown) for living docs: use it for agent-maintained, frequently updated, or working documents. It opens in the Docs editor (https://docs.google.com/document/d/<FILE_ID>/edit) without conversion and updates in place withdrive.files.update --upload, withoutbatchUpdateindex math. - Converted Google Doc (
.gdoc,mimeType: application/vnd.google-apps.document) for polished deliverables: use it for client or stakeholder documents that need styling, and for multi-tab documents. Editing a.mdfile in Docs turns smart chips into text or links and removes font colors, highlights, and text alignment (Docs Help 18289341). Build it through gws Docs recipes.
Branding
Style SVG cards and Mermaid diagrams with ~/.agents/DESIGN.md (Fmind Theme) and the Mermaid frontmatter in fmind-visuals renderers, or with the customer's brand guide when the deliverable is theirs. Ask for a missing guide; never invent customer colors or mix brands. Keep an opaque white canvas so figures stay legible in dark mode.
Native .md Dialect Rules
references/dialect.md records what Docs renders, verified live on 2026-10-28; scripts/compile_markdown_doc.py enforces these rules:
- No YAML frontmatter or Setext underlines:
---or===directly under a paragraph line makes it a heading. Put metadata lines below# Titleand leave a blank line before a horizontal rule. - No GitHub alerts, raw HTML, or HTML comments: they render as literal text. Use a bold blockquote (
> **Important — Decision needed by YYYY-MM-DD:** ...),## Annexheadings, and\for hard line breaks. - Compile figures to PNG references: Docs shows fenced
mermaidblocks as code. Author fencedmermaidblocks or locallinks to 600 px wide SVGs in.src.md; the compiler renders each one to a PNG at most 600 px wide, because Docs displays PNG pixels at 0.75 pt each and ignores DPI metadata. It then writes![Caption][fig-N]in the body, appends[fig-N]: <data:image/png;base64,...>definitions, and exports editable sources to--assets-dir. Mermaid runs through a pinnedmise execMermaid CLI, so no global install is needed. - Verified natively: ATX headings, ordered lists, checklists, GFM tables, footnotes,
$...$and$$...$$equations, and Base64 PNG reference images.
What ships with it
2 files 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.
- today Changed · -4 lines · -10 tokens per session 36448af846de
- yesterday First seen · 70 lines · 36 tokens per session scan A 5cc6c880dbaa
draft-doc is a skill published in the GitHub repository fmind/dot (12 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 1,534 once invoked, about $0.0001 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 2026-10-28.
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