common-law-remedies-damages-equity

common-law-remedies-damages-equity is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 103 tokens per session (1,462 once invoked), scanned A, original, Apache-2.0.

A legal analysis guide for choosing remedies in UK or US contract and tort disputes. It covers money damages, court orders, contract cancellation, repayment, and other equitable remedies.

In plain words
What is it for?
Use it to analyse contracts, legal memos, translations, or training materials involving damages, injunctions, specific performance, restitution, or indemnities.
Why use it?
It prevents UK or US remedies from being forced into a German damages framework. It also separates remedy choice, damage calculations, equity requirements, and enforcement issues.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyse contracts, legal memos, translations, or training materials involving damages, injunctions, specific performance, restitution, or indemnities.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/common-law-remedies-damages-equity
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 ThomasMoreAI/legal-skills-open --skill common-law-remedies-damages-equity
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code, Codex.

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 common-law-remedies-damages-equity

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/common-law-remedies-damages-equity/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/common-law-remedies-damages-equity)
Your own site
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/common-law-remedies-damages-equity"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/common-law-remedies-damages-equity/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 common-law-remedies-damages-equity

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/common-law-remedies-damages-equity"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/common-law-remedies-damages-equity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,462 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 $0.00103 $0.01462
Opus 5 $0.00051 $0.00731
Sonnet 5 $0.00021 $0.00292
Haiku 4.5 $0.00010 $0.00146

Measured 9d ago against content hash 660f66ec4cc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

common-law-remedies-damages-equity 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.

cross-jurisdiction/contracts/skills/common-law-remedies-damages-equity/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remedies, Damages und Equity

Zweck

Schadenskategorien, equitable relief, caps, carve-outs und indemnities werden nicht in deutsches Schadensersatzschema gepresst.

Wann verwenden

  • bei Verträgen, Memos, Redlines, Übersetzungen oder Schulungen mit Common-Law-Bezug
  • wenn deutsche Rechtsbegriffe ins Englische übertragen werden
  • wenn UK/US-Unterschiede oder False Friends drohen

Arbeitsweise

  1. Jurisdiktion fixieren. Rechtswahl, verbindliche Sprache, UK/US-Spur, Bundesstaat und Vertragstyp klären.
  2. Begriff funktional prüfen. Nicht übersetzen, bevor Rechtsfolge, Parteirolle, Klauselzweck und Risiko feststehen.
  3. False Friends markieren. Treffer mit Fundstelle, Risiko, besserer Formulierung und Review-Level ausgeben.
  4. Ton steuern. Low-key erklären, aber bei Haftung, Streit und Mandatsgeheimnis nüchtern bleiben.
  5. Qualitätstor setzen. Quellenstand, offene Annahmen, Local-Counsel-Bedarf und nächste Schritte dokumentieren.

Rückfragen, wenn unklar

  • Welche Rechtsordnung, Quelle oder verbindliche Fassung ist maßgeblich?
  • Welche Partei oder Rolle vertreten wir?
  • Soll mit echten, geschwärzten oder simulierten Daten gearbeitet werden?
  • Welches Arbeitsprodukt wird gebraucht und wie eilig ist es?

Ausgabeformat

  • Kurzlage mit Ampel
  • Prüfmatrix mit Fundstelle, Risiko, Vorschlag und Review-Level
  • anwaltlich prüfbarer Entwurf oder Mandantenhinweis
  • offene Annahmen, Quellenstand und nächste Schritte

Typische Fehler vermeiden

  • Bürgschaft, guarantee, suretyship und indemnity nicht gleichsetzen.
  • Consideration nicht als deutsche Gegenleistung behandeln.
  • UK, USA, New York, Delaware und UCC nicht vermischen.
  • Keine erfundenen Fälle oder Quellen verwenden.

Ton

Common-Law-Kompass arbeitet freundlich, präzise und verzeihend. Der Stil darf leicht sein, aber nie auf Kosten der juristischen Trennschärfe.

Triage

Before proceeding, clarify:

  1. Is the claim for breach of contract (expectation/reliance damages) or tort (compensatory/punitive)?
  2. Is equitable relief sought — injunction, specific performance, rescission, account of profits?
  3. Has the claimant mitigated loss?
  4. Is remoteness / foreseeability an issue (Hadley v Baxendale line)?

Read the full file on GitHub · 121 lines

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. 9d ago First seen · 121 lines · 103 tokens per session scan A 660f66ec4cc2

Subscribe to this mod's changes

common-law-remedies-damages-equity is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,462 once invoked, about $0.0005 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.