common-law-false-friends-scanner

common-law-false-friends-scanner is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 120 tokens per session (1,294 once invoked), scanned A, original, Apache-2.0.

A scanner for German-English legal terms that may mislead readers because the matching English word has a different legal meaning. It checks the surrounding text and suggests safer alternatives.

In plain words
What is it for?
Use it to review contracts, legal memos, redlines, and translations for terms such as guarantees, warranties, termination, ownership, possession, delay, and damages.
Why use it?
Literal translations can change the apparent legal effect of a contract or memo. The scanner highlights the risk, checks the jurisdiction, and gives replacement wording for review.

Skill for Claude CodeCodex

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

Good fit Use it to review contracts, legal memos, redlines, and translations for terms such as guarantees, warranties, termination, ownership, possession, delay, and damages.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/common-law-false-friends-scanner
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-false-friends-scanner
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-false-friends-scanner

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/common-law-false-friends-scanner"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/common-law-false-friends-scanner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,294 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 $0.00120 $0.01294
Opus 5 $0.00060 $0.00647
Sonnet 5 $0.00024 $0.00259
Haiku 4.5 $0.00012 $0.00129

Measured 9d ago against content hash f384ea3f8ec0, 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-false-friends-scanner 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-false-friends-scanner/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

False-Friends-Scanner

Zweck

Bürgschaft, Garantie, Gewährleistung, Rücktritt, Vertretung, Schadensersatz, Eigentum, Besitz, Kündigung, Verzug und ähnliche Begriffe werden funktional statt wörtlich geprüft.

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.

Key False Friends

English Term German False Friend Correct Reading Risk
"guarantee" Garantie (absolute) often secondary obligation (needs principal default) HIGH
"indemnity" Entschaedigung / Buergschaft primary independent obligation; survives variation HIGH
"warranty" Gewaehrleistung not Ruecktrittsrecht; damages only MEDIUM
"condition" Bedingung (§ 158 BGB) fundamental term; breach = right to terminate HIGH
"innominate term" unklar intermediate term; remedy depends on gravity of breach MEDIUM
"consideration" Gegenleistung legal concept requiring bargain; inadequacy acceptable HIGH
"estoppel" Verwirkung (partial) different types; does not extinguish right but precludes denial MEDIUM
"good faith" Treu und Glauben NOT implied in English commercial contracts HIGH
"specific performance" Erfuellungsklage equitable; discretionary; not available as of right MEDIUM
"discovery" Akteneinsicht much broader; both sides must produce relevant docs HIGH
"deed" Urkunde has legal effect without consideration MEDIUM

Read the full file on GitHub · 101 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 · 101 lines · 120 tokens per session scan A f384ea3f8ec0

Subscribe to this mod's changes

common-law-false-friends-scanner is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 120 tokens to every session and 1,294 once invoked, about $0.0006 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.