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/research)<a href="https://agentmods.dev/commands/ishwarjha/legalant/research"><img src="https://agentmods.dev/badge/commands/ishwarjha/legalant/research/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/research"><img src="https://agentmods.dev/badge/commands/ishwarjha/legalant/research.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 | $0.00012 | $0.00196 |
| Opus 5 | $0.00006 | $0.00098 |
| Sonnet 5 | $0.00002 | $0.00039 |
| Haiku 4.5 | $0.00001 | $0.00020 |
Grade A, and why
research 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 legal-research-agent sub-agent to conduct legal research.
Research query:
$ARGUMENTS
The agent will:
- Parse the query — statute / case law / regulatory / comparative
- Search IndiaKanoon, RBI, SEBI, MCA, and uploaded precedents
- Identify leading cases, applicable statutes, and relevant circulars
- Produce a structured research memo with citations (document + page + section)
- Flag any "Unable to verify" items rather than fabricating citations
- Generate research-[YYYYMMDD-HHMM].docx + .html
HITL Gate fires before delivering the memo — respond with APPROVED or REVISE: [scope changes].
Usage:
/research Section 29A Arbitration Act 1996 — timeline for 74% acquisition dispute
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 · 22 lines · 12 tokens per session scan A c179545cc9f0
research is a command published in the GitHub repository ishwarjha/legalant (6 stars, last pushed 4mo ago), licensed MIT. It adds 12 tokens to every session and 196 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.