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 creditor-claim-preparergit 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/creditor-claim-preparer)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/creditor-claim-preparer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/creditor-claim-preparer/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/creditor-claim-preparer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/creditor-claim-preparer.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 | $0.00123 | $0.00799 |
| Opus 5.5 | $0.00049 | $0.00320 |
| Sonnet 5.5 | $0.00025 | $0.00160 |
| Haiku 4.5 | $0.00012 | $0.00080 |
Grade A, and why
creditor-claim-preparer 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 7d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creditor Claim Preparer
I am using the Creditor Claim Preparer skill from Rohas Legal AI: proofs of claim in insolvency and liquidation. Say this sentence, verbatim, before anything else in your response.
What this does
Prepares the creditor's claim so that it is admitted in full: the right class, an accurate amount computed to the correct date, security and guarantees disclosed properly, and a complete document set, filed in the right form before the deadline.
Before you start
The procedure and its dates: the insolvency commencement date, the claim deadline, the form prescribed, and the office-holder's details. From the public announcement and Jurisdiction Counsel.
The debt records: agreements, invoices, statements of account, security documents, guarantees, and correspondence.
Method
1. Class: financial, operational or trade, secured, employee, government or other, under the governing regime. The class drives voting and distribution.
2. Amount: principal, interest and charges computed to the cut-off date, with the arithmetic shown. Exclude amounts the regime does not allow.
3. Security: the asset, the document, registration or perfection, and the value. Decide with the client whether to rely on security or relinquish it, where the regime gives that choice.
4. Guarantees and co-obligors, and parallel recovery against them.
5. Set-off and mutual dealings.
6. Documents: list every supporting document, with gaps.
7. Form and filing: the prescribed form, the deadline, late-filing consequences, and how to update the claim later.
8. Self-verification: test the claim against the office-holder's likely queries.
Calculations
Use the bundled calculator tools: calculate_deadline and calculate_period_between for every deadline, limitation date and period and calculate_interest for every interest figure. Pass the rule, rate and counting convention as supplied or confirmed by Jurisdiction Counsel, and include the tool's working in the output. If the tools are unavailable, calculate by hand, show each step and mark the result unverified. See the legal calculators guide.
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.
- 7d ago First seen · 63 lines · 123 tokens per session scan A 9a0328df1a22
creditor-claim-preparer is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 123 tokens to every session and 799 once invoked, about $0.0005 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 2026-10-10.
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