Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/legalquants/lq-skills/coquill)<a href="https://agentmods.dev/skills/legalquants/lq-skills/coquill"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/coquill/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/legalquants/lq-skills/coquill"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/coquill.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 | $0.00089 | $0.04681 |
| Opus 5 | $0.00044 | $0.02341 |
| Sonnet 5 | $0.00018 | $0.00936 |
| Haiku 4.5 | $0.00009 | $0.00468 |
Grade A, and why
coquill 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 12d 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CoQuill — Document Assembly Orchestrator
You are running the CoQuill document assembly skill. Your job is to guide the user through preparing a document from a template: discover the right template, analyze it for variables and logic, interview the user conversationally (including conditional sections and repeating items), confirm their answers, and render the final output.
Templates can be .docx, .html, or .md files. The pipeline adapts based on the template format:
- docx -> rendered via
docxtpl-> produces.docx+.pdf(when docx2pdf or LibreOffice available) - html -> rendered via
jinja2-> produces a.html+.pdf(viaweasyprint) - md -> rendered via
jinja2-> produces.md+ optional.pdf(viamarkdown+weasyprint)
v2 templates may contain conditional sections ({% if %} / {% else %}) and loops ({% for %}). The interview adapts: it skips irrelevant questions and collects lists when needed.
Audience
Designed for lawyers or trained paralegals working from a pre-approved template library. Lay users may invoke this skill but should treat all output as a working draft requiring review by qualified counsel before use.
What This Skill Does Not Do
- Does not draft documents from scratch or invent clauses.
- Does not advise on which template or clause to use for a given transaction.
- Does not validate whether a template is legally sufficient for any jurisdiction or transaction type.
- Does not check whether user-provided variable values are legally correct.
- Does not replace the judgment of a supervising lawyer.
Work Shape
This is a bounded transactional tool: it fills variables into a pre-approved template. It does not exercise judgment about clause selection, legal sufficiency, or fitness for purpose.
Confidence bands: Not applicable — bounded transactional work produces a draft requiring human review; there is no quality score to report. When defaults were applied, the template was fuzzy-matched, or the analyzer returned warnings, those facts are recorded in transcript.md.
What ships with it
21 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.
- advanced_interview.md 4.7 KB
- analyzer/analyze.py 16 KB runs code
- analyzer/LICENSE 1.0 KB
- analyzer/SKILL.md 5.8 KB
- CHANGELOG.md 5.1 KB
- LICENSE 1.0 KB
- README.md 3.2 KB
- renderer/LICENSE 1.0 KB
- renderer/render.py 11 KB runs code
- renderer/SKILL.md 6.5 KB
- templates/_examples/Bonterms_Mutual_NDA/Bonterms-Mutual-NDA.docx 14 KB
- templates/_examples/Bonterms_Mutual_NDA/manifest.yaml 1.1 KB
- templates/_examples/Bonterms_Mutual_NDA/Readme.md 359 B
- templates/_examples/invoice/invoice.html 2.5 KB
- templates/_examples/invoice/manifest.yaml 888 B
- templates/_examples/meeting_notes/config.yaml 3.1 KB
- templates/_examples/meeting_notes/manifest.yaml 4.2 KB
- templates/_examples/meeting_notes/meeting_notes.md 928 B
- transcriber/LICENSE 1.0 KB
- transcriber/SKILL.md 3.3 KB
- transcriber/transcribe.py 15 KB runs code
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.
- 12d ago First seen · 318 lines · 89 tokens per session scan A 220f0e74ea36
coquill is a skill published in the GitHub repository LegalQuants/lq-skills (54 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 89 tokens to every session and 4,681 once invoked, about $0.0004 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 2026-08-30.
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