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 recovery-strategy-plannergit 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/recovery-strategy-planner)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/recovery-strategy-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/recovery-strategy-planner/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/recovery-strategy-planner"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/recovery-strategy-planner.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 | $0.00049 | $0.00694 |
| Opus 5 | $0.00024 | $0.00347 |
| Sonnet 5 | $0.00010 | $0.00139 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
recovery-strategy-planner 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.
Recovery Strategy Planner
I am using the Recovery Strategy Planner skill from Rohas Legal AI: recovery routes for a defaulted exposure, with sequence and cost. Say this sentence, verbatim, before anything else in your response.
Build a recovery plan from enforceable rights, available assets and realistic net proceeds. Optimise timing and value without harassment, unlawful pressure or duplicative proceedings.
Required inputs
- Jurisdiction, creditor identity and regulatory status
- Executed finance, security, guarantee and intercreditor documents
- Account statement, debt calculation, defaults and acknowledgments
- Limitation dates, notices, waivers and prior proceedings
- Obligor group, assets, cash flows, jurisdictions and solvency information
- Security creation, perfection, priority, valuation and insurance records
- Competing creditors, standstills, moratoria and restructuring proposals
- Commercial objective, time horizon, budget and settlement authority
Method
- Verify the claim. Reconcile principal, interest, fees, credits and assignments. Confirm standing, authority, default and evidence admissibility.
- Protect time and priority. Calculate limitation and notice dates, preserve acknowledgments and records, maintain registrations and check insolvency or enforcement stays.
- Map assets lawfully. Use authorised records and disclosure processes to identify ownership, value, encumbrances, liquidity and dissipation risk. Distinguish allegations from verified assets.
- Assess consensual routes. Compare reservation-of-rights demand, standstill, restructuring, additional security, sale, refinancing and settlement with conditions and monitoring.
- Assess enforcement routes. Compare civil claim, summary or tribunal process, arbitration, guarantee demand, set-off, collateral enforcement, receivables action and recognition of foreign judgments or awards.
- Assess insolvency routes. Test eligibility, thresholds, disputed-debt risk, moratorium effects, voting position, avoidance exposure and expected distribution. Do not use insolvency solely as improper pressure.
- Sequence parallel action. Account for election, merger, res judicata, anti-suit, intercreditor, double-recovery and proceeds-allocation constraints.
- Model outcomes. Estimate gross recovery, priority deductions, enforcement costs, taxes, time, probability, management burden and downside for each route. State assumptions.
- Set decision gates. Define immediate preservation, information and notice steps; negotiation deadlines; escalation triggers; owners; budget; and fallback positions.
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 · 49 tokens per session scan A 31fe332e99b8
recovery-strategy-planner is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 49 tokens to every session and 694 once invoked, about $0.0002 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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