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/matter)<a href="https://agentmods.dev/commands/ishwarjha/legalant/matter"><img src="https://agentmods.dev/badge/commands/ishwarjha/legalant/matter/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/ishwarjha/legalant/matter"><img src="https://agentmods.dev/badge/commands/ishwarjha/legalant/matter.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 | $0.00014 | $0.00192 |
| Opus 5 | $0.00007 | $0.00096 |
| Sonnet 5 | $0.00003 | $0.00038 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
matter 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
Invoke the lexis sub-agent to open a new matter.
Pass the following context to lexis:
$ARGUMENTS
Lexis will:
- Parse the matter description — parties, transaction type, quantum, jurisdiction
- Classify the matter (M&A / Litigation / Real Estate / Arbitration / Advisory / In-house)
- Write
.legalant/matter.jsonwith matter_id (format: LA-YYYY-NNN) - Log Gate 1 HITL in
.legalant/hitl-log.json - Route to the appropriate Layer 2 or Layer 3 orchestrator
HITL Gate 1 fires after classification — respond with APPROVED or REVISE: [corrections].
If no arguments are provided, lexis will ask for the matter brief interactively.
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 · 21 lines · 14 tokens per session scan A e51929f4797b
matter is a command published in the GitHub repository ishwarjha/legalant (6 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 192 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.
Other commands, from other repositories
deps-audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
scope
Mandatory pre-flight scope check — verify an asset is in scope BEFORE any HTTP touch. Deterministic (deny-wins, default-deny) via engine/scope.py against the engagement's scope.md. Blocks out-of-scope testing. Usage: /scope [ ...].
dashboard
Build a shareable HTML dashboard of your hunt — funnel, status, categories, recruiter scores — from the tracker.
review-ai-policy
Review or draft an AI governance policy with current EU AI Act roles, controls, evidence, and escalation paths.
logout
Unlink this machine from Beezi analytics (sign out).
customs-checklist
Direct invocation of the customs-checklist skill. Use for EU/RO import or export pre-clearance checklist, TARIC duty lookup, VAT estimation, and regulated-goods documentation flags.