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 LegalQuants/lq-skills --skill legal-claim-economicsgit clone --depth 1 https://github.com/LegalQuants/lq-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/legalquants/lq-skills/legal-claim-economics)<a href="https://agentmods.dev/skills/legalquants/lq-skills/legal-claim-economics"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/legal-claim-economics/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/legalquants/lq-skills/legal-claim-economics"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/legal-claim-economics.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 | $0.00068 | $0.01562 |
| Opus 5 | $0.00034 | $0.00781 |
| Sonnet 5 | $0.00014 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
legal-claim-economics 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 13d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
legal-claim-economics
When to Use
- A lawyer, funder, or firm wants to model whether a claim or portfolio is economically viable.
- The question involves damages, probability of success, fee arrangements, ATE, adverse costs, funder return, or recovery waterfall.
- The user needs sensitivity or scenario analysis rather than a single best-case number.
This skill models economics. It does not recommend whether to bring, settle, fund, or abandon a claim.
Audience and Work Shape
Audience: litigation partners, litigation-finance counsel, funding analysts, and legally supervised team members with enough quantitative fluency to review assumptions and formulas.
Work shape: bounded transactional calculation in calculation_mode; accretive judgment in specification_mode. The skill models assumptions and scenarios, but the responsible lawyer or funder decides what action to take.
Legal Failure Modes
- Legal support, not legal advice: outputs are working calculations and assumptions registers, not merits, enforceability, tax, regulatory, or professional-conduct advice.
- Privilege/confidentiality: claim economics may be privileged or work-product material. Sharing with funders, auditors, counterparties, insurers, or third parties can affect privilege/confidentiality and needs lawyer approval.
- Accountability: a lawyer or authorised investment decision-maker must sign off before any output is used for fund/no-fund, bring/no-bring, settle/no-settle, or client-facing advice.
Access Modes
This skill works in three modes:
- Calculation mode - use supplied assumptions and an available calculator, spreadsheet, code execution environment, or arithmetic worked in-session.
- User-supplied model mode - review an existing spreadsheet, calculator output, term sheet, budget, damages model, or funding proposal supplied by the user.
- Specification mode - build the model structure, assumptions list, and formulas, but do not invent calculated outputs.
What ships with it
5 files 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.
- 13d ago First seen · 162 lines · 68 tokens per session scan A 44d84c0bd6bf
legal-claim-economics is a skill published in the GitHub repository LegalQuants/lq-skills (54 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,562 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 2026-08-30.
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