Agent skill

stl-lebanon-jeanne-sulzer

Verification-first methodology for the Special Tribunal for Lebanon. Citations are verified against the STL legacy archive and legal-tools.org. Covers the Ayyash et al. case, the two contempt cases (STL-14-05 New TV/Al-Khayat and STL-14-06 Akhbar Beirut/Al-Amin), and the 2011 terrorism decision. Research aid, not legal advice. Part of the open-source \"Skills for International Justice\" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

lawve-aigithub.com/lawve-aiGitHub ↗
claude-codeNOASSERTION
Install
npx skills add lawve-ai/awesome-legal-skills --skill special-tribunal-for-lebanon-jeanne-sulzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 10
SKILL.md size: 16 KB
Bundled scripts: none
Version: 2026-06-10
Declared author: Jeanne Sulzer
Path: skills/special-tribunal-for-lebanon-jeanne-sulzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 618
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# STL — Special Tribunal for Lebanon This skill governs every output that touches the Special Tribunal for Lebanon. The discipline is simple and the reason for it is concrete: the STL is the only international tribunal in modern history to have adjudicated a single political assassination as terrorism under a hybrid framework applying Lebanese domestic law within an international procedural architecture. Its case numbers are exact, its in absentia trial framework is unusual, and its 2011 Interlocutory Decision on the Applicable Law is one of the most-cited (and most-contested) post-9/11 jurisprudential developments in international criminal law. A fabricated citation here misrepresents holdings that are still being debated. ## The discipline in one paragraph For any case-specific document — judgment, decision, indictment, filing, OTP submission, victim participation order — verify before citing. "Verify" means `web_fetch` (or equivalent retrieval) to stl-tsl.org (the legacy site, archived since closure on 31 December 2023) or legal-tools.org in the current conversation. Foundational texts in project knowledge (UN-Lebanon Agreement, Statute of the STL annexed to Resolution 1757, Rul

What's inside
Steps it walks through
  1. The discipline in one paragraph
  2. Verification is gradient, not binary
  3. Standard workflow
  4. Foundational texts (cite from project knowledge when present)
  5. The institutional architecture (get this right)
  6. Source hierarchy
  7. Citation format
  8. The 2011 Interlocutory Decision — handle with extra care
  9. Audit mode depends on document type
  10. Substantive doctrine — pointers
  11. Sensitive contexts
  12. What this skill is not
  13. Reference files
Ships with 9 files
  • CHANGELOG.md
  • README.md
  • examples/example-audit.md
  • examples/example-verification.md
  • references/authoritative-sources.md
  • references/citation-format.md
  • references/foundational-texts.md
  • references/jurisprudence-map.md
  • references/verification-workflow.md
More from awesome-legal-skills
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About this skill
What does the stl-lebanon-jeanne-sulzer skill do?

Verification-first methodology for the Special Tribunal for Lebanon. Citations are verified against the STL legacy archive and legal-tools.org. Covers the Ayyash et al. case, the two contempt cases (STL-14-05 New TV/Al-Khayat and STL-14-06 Akhbar Beirut/Al-Amin), and the 2011 terrorism decision. Research aid, not legal advice. Part of the open-source \"Skills for International Justice\" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

How do I install it?

Run `npx skills add lawve-ai/awesome-legal-skills --skill special-tribunal-for-lebanon-jeanne-sulzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From lawve-ai/awesome-legal-skills, a repository with 618 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going