Moot Court Simulation Builder
cat-xierluo/legal-skills
Chinese-language skill that organizes a case file into a multi-role mock trial with judge, parties and clerk, producing a transcript, issue review and a to-strengthen list.
Create original, competition-ready commercial mediation problems and confidential packets with iterative validation.
$ npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lawve-ai/awesome-legal-skills mediation-problem-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mediation-problem-generator-seth-chandler .claude/skills/mediation-problem-generator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mediation-problem-generator" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/mediation-problem-generator-seth-chandler into .claude/skills/mediation-problem-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mediation-problem-generator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/mediation-problem-generator-seth-chandlerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lawve-ai/awesome-legal-skills mediation-problem-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mediation-problem-generator-seth-chandler .agents/skills/mediation-problem-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mediation-problem-generator" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/mediation-problem-generator-seth-chandler into .agents/skills/mediation-problem-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mediation-problem-generator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lawve-ai/awesome-legal-skills mediation-problem-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mediation-problem-generator-seth-chandler .cursor/skills/mediation-problem-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mediation-problem-generator" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/mediation-problem-generator-seth-chandler into .cursor/skills/mediation-problem-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mediation-problem-generator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lawve-ai/awesome-legal-skills.git --path skills/mediation-problem-generator-seth-chandler--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lawve-ai/awesome-legal-skills mediation-problem-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mediation-problem-generator-seth-chandler .gemini/skills/mediation-problem-generator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mediation-problem-generator" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/mediation-problem-generator-seth-chandler into .gemini/skills/mediation-problem-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mediation-problem-generator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lawve-ai/awesome-legal-skills mediation-problem-generatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mediation-problem-generator-seth-chandler .github/skills/mediation-problem-generator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mediation-problem-generator" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/mediation-problem-generator-seth-chandler into .github/skills/mediation-problem-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mediation-problem-generator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lawve-ai/awesome-legal-skills mediation-problem-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mediation-problem-generator-seth-chandler .opencode/skills/mediation-problem-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mediation-problem-generator" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/mediation-problem-generator-seth-chandler into .opencode/skills/mediation-problem-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mediation-problem-generator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mediation-problem-generatorCreate original, competition-ready commercial mediation problems and confidential packets with iterative validation.
Mediation Problem Generator is an agent skill from lawve-ai/awesome-legal-skills. Create original, competition-ready commercial mediation problems and confidential packets with iterative validation. Use when a user provides a topic, industry, dispute sketch, or existing general-information packet and wants a public packet plus confidential packets for both sides—or one named side. Build a narrow but workable settlement corridor; verify factual and numerical consistency, information asymmetry, balance, originality, and commercial feasibility; and revise until deterministic and semantic exit…
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts (for example `README.md`, `resources/case-model-schema.md` and `resources/design-grammar.md`).
It sits in Legal & Compliance, covering Dispute resolution. It works with Python. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is Apache-2.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mediation Problem Generator loads about 3.5k tokens when it runs. Until then it costs about 196 tokens; SKILL.md has 1,666 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its Apache-2.0 licence (© lawve-ai). 1,666 words, ~3,487 tokens.
.claude/skills/mediation-problem-generator/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Create original, competition-ready commercial mediation materials. Treat internal consistency, balanced difficulty, and a narrow but workable settlement corridor as design requirements rather than cleanup tasks.
Read all four references before drafting:
resources/case-model-schema.md for the author-only source of truth.resources/design-grammar.md for problem construction and originality rules.resources/packet-templates.md for the public and confidential packet structures.resources/semantic-audit.md for balance, feasibility, and exit criteria.Before promising outputs, confirm that the host can read and write local files. Python 3 is recommended for the bundled deterministic checks. If Python is unavailable, perform the manual fallbacks described below and state in the delivery summary which scripts were not run.
Use when the user supplies a topic area, industry, relationship, dispute seed, or short sketch.
Produce by default:
case-model.json - author-only; never distribute to participants.general-information.md - available to both parties.confidential-information-party-a.md.confidential-information-party-b.md.validation-report.md - author-only.clarification-risk.md - author-only.Make reasonable creative assumptions. Ask a question only when a missing choice would materially change the exercise and guessing would create a substantial risk of divergence. Otherwise state the assumptions in the author-only model and continue.
Use when the user provides a general packet in PDF, DOCX, Markdown, or text.
case-model.json without changing them.Never repair, contradict, or silently supplement a supplied public fact in a distributed packet. Record defects or necessary assumptions in validation-report.md and, if material, ask the user before finalizing.
Never draft the distributed packets independently. Create case-model.json first and record:
Classify every material fact as objective, belief, allegation, legal_uncertainty, or deliberate_ambiguity. Classify visibility as public, party:<party-id>, shared_private, or author_only.
Use <skill-dir>/scripts/scaffold_case_model.py to create a starting model when useful. Resolve <skill-dir> to this skill's directory. Validate the model with <skill-dir>/scripts/validate_case_model.py after every material revision.
Require all of the following:
Reject designs that are impossible, depend on one brittle hidden solution, make one side dominant on every dimension, or reveal the complete bargain merely by reading either confidential packet.
Generate the public packet only from public fields in the model. Provide enough commercial, legal, financial, and relational context to make the dispute understandable without disclosing reservation values or intended trades.
Generate each confidential packet only from:
Write each packet in second person unless the user requests another convention. Give each side realistic internal tensions, priorities, and authority. Do not tell a party the other side's secret or prescribe a single settlement script.
Do not give both packets parallel menus of the same candidate packages. If one party has internally considered a direction, describe only that party's partial concept and the dependencies it cannot resolve alone. Present tradeable ingredients and constraints asymmetrically; leave package assembly to the mediation.
Follow resources/packet-templates.md. Preserve a supplied packet's style and naming conventions when using Route B.
Repeat this cycle:
Validate case-model.json with:
python3 <skill-dir>/scripts/validate_case_model.py <case-model.json>
Run the information-firewall check after drafting:
python3 <skill-dir>/scripts/check_information_firewall.py <case-model.json> <general.md> --party-a <party-a.md> --party-b <party-b.md>
When Route B produces one side only, supply only the corresponding --party-a or --party-b option.
Apply every semantic audit in resources/semantic-audit.md.
Record defects by severity in validation-report.md.
Revise the canonical model, not an isolated packet.
Regenerate every affected packet.
Repeat until the exit criteria pass.
Treat deterministic scripts as minimum checks. They do not replace semantic review.
Before delivery, manually verify the required top-level model fields, exactly two parties, visibility and epistemic-status labels, required private-case fields, two to four candidate packages, calculations and payment totals, the narrow-window settings, and the last two audit iterations. Compare each distributed packet against the model's visibility labels for possible leaks. Record that the manual fallback was used; never describe it as equivalent to running the scripts.
When independent agents are available, run role-limited audits:
Instruct role-limited auditors not to inspect the workspace or any unprovided artifact. If true file isolation is unavailable, pass only the permitted text and treat the exercise as an independence aid, not a security boundary.
Ask each side auditor to identify interests, constraints, likely proposals, apparent BATNA, confusing facts, and at least two sound settlement packages. Ask the mediator auditor whether the public problem supports productive negotiation without disclosing the answer. Ask the full-package auditor to test feasibility, balance, leaks, and contradictions.
If independent agents are unavailable, perform the same audits sequentially with fresh notes and strict information partitions.
Do not call the package final until:
Run the final deterministic check with:
python3 <skill-dir>/scripts/validate_case_model.py <case-model.json> --final
If five revision cycles do not satisfy the criteria, stop and report the remaining defects and the design choice needed. Do not conceal failure by weakening the rubric.
Keep author-only artifacts separate from participant packets. Clearly label confidential packets and their intended recipient. Never combine both confidential packets in a participant-facing file.
Deliver Markdown by default. Create DOCX or PDF versions only when requested and when the host provides a document-generation capability with visual verification. Otherwise deliver Markdown and state that the requested conversion could not be completed in the current host.
Summarize:
Use the model, validation report, and audit history to preserve continuity across revision cycles.
This skill is jurisdiction-neutral because it designs fictional teaching simulations rather than resolving substantive law. When a problem depends on actual doctrine, procedure, ethics rules, or enforceability, the user must supply authoritative jurisdiction-specific sources or independently verify the legal framework before distribution. The generated materials are educational exercises, not legal advice or predictions about a real dispute.
resources/case-model-schema.md — canonical author-only model; read before constructing a case.resources/design-grammar.md — originality, hidden-value, difficulty, and commercial-soundness
rules; read before designing the settlement corridor.resources/packet-templates.md — distributed and author-only document structures; read before
drafting packets or reports.resources/semantic-audit.md — severity rubric and exit criteria; use during every revision.scripts/scaffold_case_model.py — optional Python 3 utility that writes a starter JSON model to
the caller-named path and refuses to overwrite unless expressly told to do so.scripts/validate_case_model.py — Python 3 deterministic validator; it reads a model and writes a
report only when the caller supplies a report path.scripts/check_information_firewall.py — read-only Python 3 comparison for likely verbatim
confidential-fact leakage.The package contains three Python 3 scripts using only the standard library. They make no network calls, spawn no subprocesses, access no credentials, and evaluate no dynamic code. The scaffold writes only to the caller-named path; the validator writes only to an optional caller-named report path; the firewall checker is read-only.
© lawve-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (scripts) in skills/mediation-problem-generator-seth-chandler of lawve-ai/awesome-legal-skills.
Open the folder on GitHubat commit 045f738
Mediation Problem Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mediation Problem Generator this skilllawve-ai/awesome-legal-skills | 842 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Moot Court Simulation Buildercat-xierluo/legal-skills | 717 | — | ~1.4k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Alkahest Developerinternet-court/internet-court-skill | 6.5k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Hand Drawnthreerocks/hand-drawn-styles | 2.2k | — | ~398 | Automated safety check: Pass | MIT | |
| HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Tw Legal RAGaa0101181514/tw-legal-rag | 328 | — | ~580 | Automated safety check: Pass | Custom licence |
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Chinese-language skill that organizes a case file into a multi-role mock trial with judge, parties and clerk, producing a transcript, issue review and a to-strengthen list.
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Works with
Categories
Create original, competition-ready commercial mediation problems and confidential packets with iterative validation. Mediation Problem Generator is an agent skill from lawve-ai/awesome-legal-skills. Create original, competition-ready commercial mediation problems and confidential packets with iterative validation.
Mediation Problem Generator fits situations like: A user provides a topic; existing general-information packet and wants a public packet plus confidential packets for both sides—or one named side.
Run `npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a claude-code`. Or copy the skill folder (skills/mediation-problem-generator-seth-chandler in lawve-ai/awesome-legal-skills) into .claude/skills/mediation-problem-generator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a codex`. Or copy the skill folder (skills/mediation-problem-generator-seth-chandler in lawve-ai/awesome-legal-skills) into .agents/skills/mediation-problem-generator in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill mediation-problem-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mediation-problem-generator, .gemini/skills/mediation-problem-generator, .github/skills/mediation-problem-generator and .opencode/skills/mediation-problem-generator in your project.
Going by SKILL.md and its folder, Mediation Problem Generator needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Mediation Problem Generator is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mediation Problem Generator: Moot Court Simulation Builder (cat-xierluo/legal-skills, 717 stars), Alkahest Developer (internet-court/internet-court-skill, 6.5k stars), Hand Drawn (threerocks/hand-drawn-styles, 2.2k stars) and HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 842 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.
Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.