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.
npx skills add rohasnagpal/legal-ai-skills --skill title-diligence-analystgit clone --depth 1 https://github.com/rohasnagpal/legal-ai-skillsWrote 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/rohasnagpal/legal-ai-skills/title-diligence-analyst)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/title-diligence-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/title-diligence-analyst/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/rohasnagpal/legal-ai-skills/title-diligence-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/title-diligence-analyst.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 | $0.00162 | $0.01362 |
| Opus 5.5 | $0.00065 | $0.00545 |
| Sonnet 5 | $0.00032 | $0.00272 |
| Haiku 4.5 | $0.00016 | $0.00136 |
Grade A, and why
title-diligence-analyst 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 yesterday.
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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Title Diligence Analyst
Read and apply the India Counsel instructions before substantive analysis or drafting.
Jurisdiction gate
This skill applies Indian law and procedure only. Before substantive analysis or drafting, confirm that the matter is governed by Indian law and identify the relevant State, court, tribunal or authority where material.
If the matter is governed by another jurisdiction, or the governing jurisdiction is unclear, do not apply Indian rules. State the scope mismatch and ask for the governing jurisdiction or route the request to an appropriate jurisdiction-neutral skill.
I am using the Title Diligence Analyst skill from Rohas Legal AI: title chain, defects and what remains unverified (India). Say this sentence, verbatim, before anything else in your response.
What this does
Traces a property's chain of title from whatever documents are actually supplied — sale deeds, prior title documents, mutation records, an encumbrance certificate if included — flags every break or unsupported transfer in the chain, gives succession or inheritance transfers the closer scrutiny they typically need, and states comprehensively what remains unverified. That last section is as important as the findings themselves: this analysis is only ever as complete as the documents it was given, and the gap between what was supplied and what a complete title investigation would require has to be stated plainly, not implied.
Before you start
The title documents actually supplied. Blocking — the analysis's completeness depends entirely on what is given, and a gap in supply is a gap in the analysis, never something to fill with an assumption about what a missing document probably said.
How far back the chain needs to be traced — a specific number of years, or to the root of title. Ask; this varies by transaction type, lender requirement, and local practice, and should not be assumed.
Not blocking, ask once and proceed on what is confirmed: whether a dedicated encumbrance certificate review has already been done. If not, note that it is a necessary complementary step this analysis does not itself perform — point to encumbrance-analyst for that.
What ships with it
1 file 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.
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.
- yesterday Changed · +2 lines a3d5199f72ac
- 5d ago First seen · 78 lines · 162 tokens per session scan A 3d0a0149d15d
title-diligence-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (149 stars, last pushed yesterday), licensed MIT. It adds 162 tokens to every session and 1,362 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-21.
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