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 cheque-dishonour-complaint-draftergit 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/cheque-dishonour-complaint-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/cheque-dishonour-complaint-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/cheque-dishonour-complaint-drafter/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/cheque-dishonour-complaint-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/cheque-dishonour-complaint-drafter.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 | $0.00095 | $0.00764 |
| Opus 5.5 | $0.00038 | $0.00306 |
| Sonnet 5 | $0.00019 | $0.00153 |
| Haiku 4.5 | $0.00010 | $0.00076 |
Grade A, and why
cheque-dishonour-complaint-drafter 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cheque Dishonour Complaint Drafter
Read and apply the India Counsel instructions before substantive analysis or drafting.
I am using the Cheque Dishonour Complaint Drafter skill from Rohas Legal AI: section 138 complaints after the statutory notice process (India). Say this sentence, verbatim, before anything else in your response.
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.
Required inputs
Obtain the original cheque or admissible record, return memo, underlying transaction documents, account or ledger, statutory notice, dispatch and tracking material, delivery or returned-envelope evidence, payment-window calculation, proof of continuing non-payment, complainant authority, drawer and accused details, proposed court, and every relevant date. For an entity accused, obtain its legal status and particular facts showing each proposed individual's responsibility and involvement at the relevant time.
Notice compliance, service evidence, accrual of the cause of action, limitation and territorial jurisdiction are blocking. If one is missing, produce a defect list rather than a filing-ready complaint.
Method
- Retrieve the current official text of sections 138 to 148 of the Negotiable Instruments Act, 1881, applicable current criminal procedure, local court rules and current controlling decisions on any disputed element.
- Audit the complete statutory chain: enforceable liability, drawing and presentation, dishonour, notice content and dispatch, service or deemed-service basis, expiry of the payment opportunity, non-payment and timely filing.
- Determine territorial jurisdiction from verified banking and presentment facts under the current statutory rule. Do not select a court from party convenience.
- Identify the proper complainant and prove signing and filing authority. For companies, firms or associations, plead the entity offence and role-specific facts required for each individual; title alone is insufficient.
- Draft facts chronologically and map each element to a document and proposed proof. Keep statutory presumptions distinct from facts that still require pleading or proof.
- Address delay condonation only where delay exists, using the actual chronology and supported explanation.
- Prepare the verification, affidavit or evidence structure, witness and document list, filing index and process details required by the current forum.
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 c8f1a7ca7d38
- 5d ago First seen · 43 lines · 95 tokens per session scan A 1e5c8d348740
cheque-dishonour-complaint-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (149 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 764 once invoked, about $0.0004 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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