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/ishwarjha/legalantWrote 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/ishwarjha/legalant/extract)<a href="https://agentmods.dev/commands/ishwarjha/legalant/extract"><img src="https://agentmods.dev/badge/commands/ishwarjha/legalant/extract.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00203 |
| Opus 5 | $0.00005 | $0.00102 |
| Sonnet 5 | $0.00002 | $0.00041 |
| Haiku 4.5 | $0.00001 | $0.00020 |
Grade A, and why
extract 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 8d 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
Invoke the document-table-agent sub-agent to extract and tabulate data from documents.
Documents and fields to extract:
$ARGUMENTS
The agent will:
- Parse all specified documents
- Extract the requested data fields (or auto-detect key fields if not specified)
- Build a structured comparison table with: Document | Clause | Extracted Value | Page Reference
- Flag missing fields, conflicting values, or blank entries
- Support extraction types: financial terms, dates, parties, covenants, conditions precedent, risk allocations
- Generate extract-[YYYYMMDD-HHMM].docx with extraction table + .html
HITL Gate fires before delivery — respond with APPROVED or REVISE: [add fields / correct values].
Usage:
/extract all VDR documents — extract: parties, governing law, arbitration seat, liability cap
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.
- 8d ago First seen · 22 lines · 10 tokens per session scan A c3c8cc4381f8
extract is a command published in the GitHub repository ishwarjha/legalant (6 stars, last pushed 4mo ago), licensed MIT. It adds 10 tokens to every session and 203 once invoked, about $0.0001 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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assemble-document
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