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/Avinava/document-design-systemWrote 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/commands/avinava/document-design-system/compose)<a href="https://agentmods.dev/commands/avinava/document-design-system/compose"><img src="https://agentmods.dev/badge/commands/avinava/document-design-system/compose/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/commands/avinava/document-design-system/compose"><img src="https://agentmods.dev/badge/commands/avinava/document-design-system/compose.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 | $0.00040 | $0.00229 |
| Opus 5.5 | $0.00016 | $0.00092 |
| Sonnet 5.5 | $0.00008 | $0.00046 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
compose 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 9d 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
Use the writing-documents skill.
Type slug: custom
Load references/type-index.md first; if a type or alias fits, use that type
instead and say so in one line.
Otherwise load references/composing.md, the nearest type's
references/type-<slug>.md, references/writing.md, and
references/evidence.md. Pick the pattern by the reader's question, use only
modules that pattern allows, and declare type: custom, pattern, modules,
and nearest-type in the front matter.
Default output is Markdown in the user's project at the nearest type's
conventional path.
Do not assemble HTML, pick a theme, inline CSS, or run build_document.py unless
the user asked for HTML, PDF, print, or designed output.
If they did, also load references/output.md and core/.
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.
- 9d ago First seen · 19 lines · 40 tokens per session scan A 673c547a338b
compose is a command published in the GitHub repository Avinava/document-design-system (2 stars, last pushed 10d ago), licensed MIT. It adds 40 tokens to every session and 229 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 2026-10-08.
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