cheque-dishonour-complaint-drafter

cheque-dishonour-complaint-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 95 tokens per session (764 once invoked), scanned A, original, MIT.

A drafting assistant for complaints about dishonoured cheques under section 138 of India's Negotiable Instruments Act, 1881. It applies only after the required legal notice process is complete.

In plain words
What is it for?
Use it to check and draft an Indian cheque-dishonour complaint from the cheque, return memo, notice, service evidence, payment record, parties, and relevant dates.
Why use it?
A complaint in this area depends on specific documents, dates, deadlines, jurisdiction, and notice steps. It helps test whether those requirements and supporting records are present before drafting.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the vclo-by-rohas plugin — 189 skills shipped together

Good fit Use it to check and draft an Indian cheque-dishonour complaint from the cheque, return memo, notice, service evidence, payment record, parties, and relevant dates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/cheque-dishonour-complaint-drafter
Install

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.

Any agent
npx skills add rohasnagpal/legal-ai-skills --skill cheque-dishonour-complaint-drafter
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install vclo-by-rohas, the plugin that ships this one along with the rest of its 189 skills.

Wrote 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.

agentmods badge for cheque-dishonour-complaint-drafter

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/cheque-dishonour-complaint-drafter/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/cheque-dishonour-complaint-drafter)
Your own site
<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.

agentmods 80×15 button for cheque-dishonour-complaint-drafter

Your own site · 80×15
<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>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 764 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured yesterday against content hash c8f1a7ca7d38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

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.

plugins/vclo-by-rohas/skills/cheque-dishonour-complaint-drafter/SKILL.md · 45 lines

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

  1. 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.
  2. 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.
  3. Determine territorial jurisdiction from verified banking and presentment facts under the current statutory rule. Do not select a court from party convenience.
  4. 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.
  5. 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.
  6. Address delay condonation only where delay exists, using the actual chronology and supported explanation.
  7. Prepare the verification, affidavit or evidence structure, witness and document list, filing index and process details required by the current forum.

Read the full file on GitHub · 45 lines

Files

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.

Changes

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.

  1. yesterday Changed · +2 lines c8f1a7ca7d38
  2. 5d ago First seen · 43 lines · 95 tokens per session scan A 1e5c8d348740

Subscribe to this mod's changes

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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