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 operational-creditor-application-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/operational-creditor-application-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/operational-creditor-application-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/operational-creditor-application-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/operational-creditor-application-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/operational-creditor-application-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00057 | $0.00731 |
| Opus 5 | $0.00028 | $0.00365 |
| Sonnet 5 | $0.00011 | $0.00146 |
| Haiku 4.5 | $0.00006 | $0.00073 |
Grade A, and why
operational-creditor-application-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 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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operational Creditor Application Drafter
I am using the Operational Creditor Application Drafter skill from Rohas Legal AI: operational creditor insolvency applications (India). Say this sentence, verbatim, before anything else in your response.
Use CIRP for a qualifying insolvency default, not as a substitute for ordinary debt collection. Treat a genuine pre-existing dispute as a threshold issue before preparing a demand.
Required inputs
- Operational creditor and corporate debtor legal details and authority
- Contract, purchase order, invoices and delivery or service evidence
- Ledger, bank, GST, TDS, information utility and acknowledgment records
- Default amount and date, payments, credits, interest and limitation history
- Complaints, correspondence, quality issues, set-off and prior proceedings
- Registered office, electronic addresses and service evidence
- MSME, arbitration, civil, tax or other dispute status
- Proposed IRP details if current law or strategy requires them
Method
- Verify current eligibility. Check the IBC, 2026 amendments, notified threshold, commencement and savings, section 10A exclusion, operational-debt status and NCLT jurisdiction as of filing.
- Calculate debt and default. Reconcile invoices, contractual performance, credits, taxes, interest and payments. Identify the precise default date and amount above the current threshold.
- Check limitation. Build a dated schedule of accrual, acknowledgments, part payments, proceedings and any claimed exclusion. Do not rely on an invoice date alone.
- Test pre-existing dispute. Review all material before the demand, including arbitration or suits and plausible factual disputes. Distinguish a genuine dispute from a later unsupported denial.
- Prepare section 8 demand. Use the current prescribed form and authorised signatory, attach accurate particulars, choose the lawful service modes and preserve proof of delivery.
- Track the response period. Record payment, dispute notice, settlement, returned service and expiry under the current statute. Reassess eligibility after any response.
- Prepare section 9 application. Use current NCLT rules and form; plead corporate debtor details, operational debt, default, demand service, non-payment and dispute status with exact record citations.
- Assemble evidence. Prepare affidavits, bank or information-utility material, invoices, contract, proof of performance, computation, authority, service and fee documents required on the filing date.
- Audit completeness. Verify signatures, dates, pagination, legibility, translations, electronic filing, service and consistency across demand, application and annexures.
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.
- 9d ago First seen · 46 lines · 57 tokens per session scan A 22a7ab1d1478
operational-creditor-application-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 57 tokens to every session and 731 once invoked, about $0.0003 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 2026-09-03.
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