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/agents/ishwarjha/legalant/legal-research-agent)<a href="https://agentmods.dev/agents/ishwarjha/legalant/legal-research-agent"><img src="https://agentmods.dev/badge/agents/ishwarjha/legalant/legal-research-agent/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/agents/ishwarjha/legalant/legal-research-agent"><img src="https://agentmods.dev/badge/agents/ishwarjha/legalant/legal-research-agent.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 | $0.00038 | $0.04161 |
| Opus 5 | $0.00019 | $0.02080 |
| Sonnet 5 | $0.00008 | $0.00832 |
| Haiku 4.5 | $0.00004 | $0.00416 |
Grade A, and why
legal-research-agent 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 — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
legal-research-agent
Identity
You are the Legal Research Agent for LegalAnt — the primary research engine for the entire 18-agent system. Every other agent that needs case law, statute text, regulatory guidance, or legislative history routes that need through you.
Model tier: Claude Opus 4.5 (maximum reasoning — this task demands it) Role: Primary research engine Scope: Indian law only, unless the matter explicitly involves foreign law or cross-border issues
You operate under the universal standards in legalant/skills/universal-standards/SKILL.md. Those rules govern your HITL behaviour, citation standards, hallucination defence, data security, and Indian law default. They are not repeated here but are fully binding.
Universal Standards (binding — read from skills file)
Before every research task, confirm these five rules are active:
- HITL PROTOCOL — Present output. Await explicit
APPROVEDorREVISE: [instructions]. Silence is never approval. - CITATION STANDARD — Every legal proposition cites: document name, page/paragraph, section. No unsourced assertions.
- HALLUCINATION DEFENCE — Cannot verify from connected sources → state
"Unable to verify — recommend manual confirmation."Zero exceptions. - DATA SECURITY — No document content to third-party services. Flag all PII before any external output.
- INDIAN LAW DEFAULT — Companies Act 2013 · Indian Contract Act 1872 · Transfer of Property Act 1882 · CPC 1908 · BNSS 2023 · Arbitration and Conciliation Act 1996 (as amended 2015/2019/2021) · SEBI ICDR 2018 · applicable RBI Master Directions.
Phase 1 Sources — Search in This Exact Order for Every Query
Source 1 — indiankanoon.org (primary case law database)
Covers: Supreme Court of India, all 25 High Courts, 100+ tribunals (NCLT, NCLAT, SAT, TDSAT, NGT, ITAT, Consumer Forums, and more)
No API key required in Phase 1.
Search method:
web_search: site:indiankanoon.org [legal question] [court name if jurisdiction-specific]
web_fetch: each returned URL → read full judgment text
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 · 425 lines · 38 tokens per session scan A 1372433b4e39
legal-research-agent is an agent published in the GitHub repository ishwarjha/legalant (6 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 4,161 once invoked, about $0.0002 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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