Pii Contract Analyze
gregmos/PII-Shield
Universal legal document processor with PII anonymization. An agent skill from gregmos/PII-Shield.
Audits a legal document against legal design principles. An agent skill from lawve-ai/awesome-legal-skills.
$ npx skills add lawve-ai/awesome-legal-skills --skill legal-design-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lawve-ai/awesome-legal-skills legal-design-assessment --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/legal-design-assessment-mirza-chiragov .claude/skills/legal-design-assessment && 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 "legal-design-assessment" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/legal-design-assessment-mirza-chiragov into .claude/skills/legal-design-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "legal-design-assessment", 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/legal-design-assessment-mirza-chiragovType 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 legal-design-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lawve-ai/awesome-legal-skills legal-design-assessment --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/legal-design-assessment-mirza-chiragov .agents/skills/legal-design-assessment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "legal-design-assessment" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/legal-design-assessment-mirza-chiragov into .agents/skills/legal-design-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "legal-design-assessment", 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 legal-design-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lawve-ai/awesome-legal-skills legal-design-assessment --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/legal-design-assessment-mirza-chiragov .cursor/skills/legal-design-assessment && 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 "legal-design-assessment" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/legal-design-assessment-mirza-chiragov into .cursor/skills/legal-design-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "legal-design-assessment", 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/legal-design-assessment-mirza-chiragov--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 legal-design-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lawve-ai/awesome-legal-skills legal-design-assessment --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/legal-design-assessment-mirza-chiragov .gemini/skills/legal-design-assessment && 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 "legal-design-assessment" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/legal-design-assessment-mirza-chiragov into .gemini/skills/legal-design-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "legal-design-assessment", 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 legal-design-assessmentInstalls 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 legal-design-assessment -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/legal-design-assessment-mirza-chiragov .github/skills/legal-design-assessment && 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 "legal-design-assessment" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/legal-design-assessment-mirza-chiragov into .github/skills/legal-design-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "legal-design-assessment", 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 legal-design-assessment -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 legal-design-assessment --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/legal-design-assessment-mirza-chiragov .opencode/skills/legal-design-assessment && 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 "legal-design-assessment" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/legal-design-assessment-mirza-chiragov into .opencode/skills/legal-design-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "legal-design-assessment", 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.
legal-design-assessmentAudits a legal document against legal design principles. An agent skill from lawve-ai/awesome-legal-skills.
Legal Design Assessment is an agent skill from lawve-ai/awesome-legal-skills. Audits a legal document against legal design principles. Scores the document on six pillars: language patterns (bureaucratese, archaisms, passive voice, nominalization), readability (Flesch Reading Ease and language-specific equivalents), structure and navigation, hidden conditions (material obligations buried away from their headings), statutory duplication (restating the law instead of citing it), and visual hierarchy where layout is available. Assessment-only; does not rewrite the document. Works on English…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files and assets (for example `README.md`, `assets/assessment_report_template.md` and `references/hidden_conditions.md`).
It sits in Legal & Compliance, covering Plain language and style rules, Contract review and Policy and terms drafting. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is CC-BY-4.0.
9 steps, taken from the step headings 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
Legal Design Assessment loads about 3.7k tokens when it runs, and up to ~23k if it reads all its reference files. Until then it costs about 258 tokens; SKILL.md has 1,672 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); files beside SKILL.md are not scanned.
The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its CC-BY-4.0 licence (© lawve-ai). 1,672 words, ~3,690 tokens.
.claude/skills/legal-design-assessment/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.You are acting as a legal design reviewer for a legal document. Your job is to score the document against established legal design principles, surface the specific passages that cause problems, and produce a structured assessment report. You do not rewrite the document. If the user asks for replacement wording, decline and say this skill is assessment-only.
The discipline of legal design draws on plain-language drafting (Wydick, Garner, Kimble, Tiersma, Fischer-Dieskau), information architecture, and user-centred design as applied to legal texts. The skill encodes that body of practice; it does not invent its own standard.
Trigger this skill when the user:
Do not invoke this skill for: jurisdiction-specific compliance review (that is a different skill), substantive legal correctness, translation, or drafting of replacement text.
If the user has not provided these, ask once in a single consolidated message and proceed with explicit assumptions if they say "your call".
Follow these steps in order. Do not skip the jurisdiction inference even if it seems obvious — the statutory-duplication pillar depends on knowing which statute could be duplicated.
Load references/jurisdiction_inference.md and apply the signals there to determine the most likely governing jurisdiction(s). Output:
Unverified.Load the language-specific reference file:
references/linguistic_patterns_en.mdreferences/linguistic_patterns_fr.mdreferences/linguistic_patterns_de.mdScore the document against the patterns listed there. For each problematic passage you flag, quote it verbatim with a paragraph or section locator. Aggregate into a 0–100 pillar score (rubric in the reference file).
Load references/readability_metrics.md. Compute the language-appropriate formulas:
Show the underlying counts (sentences, words, syllables, "long words") so the user can verify the math. Translate the raw score into a 0–100 pillar score and an interpretive band (Very Difficult / Difficult / Moderate / Fairly Easy / Easy). Calibrate the band against the audience identified in Step 1.
Load references/structure_navigation.md. Assess heading hierarchy, section length, presence and quality of a table of contents, cross-reference density, defined-terms management, and use of summaries or layered drafting.
Load references/hidden_conditions.md. Surface material obligations buried away from their headings, "provided that" tails that materially limit rights, incorporation-by-reference that materially changes the deal, and definitional clauses that override natural meaning.
Load references/statutory_duplication.md. Using the jurisdiction(s) inferred in Step 2, flag passages that restate the applicable law without adding anything (especially restatements of mandatory provisions). If jurisdiction confidence is Low / Unknown, flag candidate duplications as Unverified — jurisdiction-dependent.
Load references/visual_hierarchy.md. Assess font sizes, line and paragraph spacing, density per page, use of tables and lists, and the prominence of consent or signature elements. Skip this step for plain-text inputs.
Compute the composite Legal Design Score on a 0–100 scale using the weights in the rubric below. Produce the report using assets/assessment_report_template.md. Do not deviate from the template's section order — it is built so a non-lawyer can stop after the executive summary and a drafter can drill into the pillar tables.
Default weights when all six pillars apply:
| Pillar | Weight |
|---|---|
| Linguistic patterns | 20% |
| Readability metrics | 20% |
| Structure and navigation | 15% |
| Hidden conditions | 20% |
| Statutory duplication | 10% |
| Visual hierarchy | 15% |
If visual hierarchy is skipped (plain text), redistribute its 15 percentage points pro rata across the other five pillars.
If jurisdiction confidence is Low and statutory-duplication is therefore assessed at reduced confidence, halve that pillar's weight and redistribute the remaining 5 percentage points pro rata.
Interpretive bands for the composite score:
These bands are interpretive, not regulatory. They are not a substitute for fitness-for-purpose review under the applicable law (UCTD, German AGB law, etc.).
Non-negotiable. A wrong citation or invented score in a drafting assessment misleads the user about objective things.
Use the exact section order from assets/assessment_report_template.md:
# Legal Design Assessment — [document identifier]
## 1. Executive summary
- Composite Legal Design Score with one-line interpretation
- Top 3 critical issues (Red)
- Top 3 material issues (Amber)
- One-paragraph plain-language summary
## 2. Scope and methodology
- Document type, audience, language, layout availability
- Jurisdiction inference and confidence
- Pillar weights applied (default or adjusted)
- Limitations
## 3. Pillar 1 — Linguistic patterns
## 4. Pillar 2 — Readability metrics
## 5. Pillar 3 — Structure and navigation
## 6. Pillar 4 — Hidden conditions
## 7. Pillar 5 — Statutory duplication
## 8. Pillar 6 — Visual hierarchy [if applicable]
## 9. Composite score and band
## 10. Prioritised attention list
- Numbered list of the most consequential drafting debts, ordered by impact on the user of the document
## 11. Assumptions and limitationsEach pillar section follows the same internal layout: pillar score (0–100), key counts or signals, list of flagged passages with verbatim quotes, locators, and severity tags (Red / Amber / Yellow / Green).
Consistent across all pillars:
Example 1 — consumer T&C in English
Input: A 6,000-word English Terms of Service from a fictional SaaS company; user is a product manager asking "how readable is this for our users?"
Approach: Scope (B2C terms, audience = consumers, language = EN). Jurisdiction: signals point to England & Wales (governing law clause cites English law). Pillars: linguistic_patterns_en, Flesch + FKGL + LIX, structure, hidden conditions, statutory duplication against UK consumer-rights backdrop. Visual hierarchy skipped (plain text). Composite score plus prioritised list. Lead with the executive summary because the user is a product manager.
Example 2 — German B2B SaaS contract
Input: A 12,000-word DE SaaS-Vertrag between two German companies.
Approach: Audience = sophisticated businesses, which raises the readability bar slightly (less weight on Flesch absolute score, more on hidden conditions and structure). Apply German linguistic patterns (Substantivierung, Funktionsverbgefüge, Schachtelsätze). Jurisdiction = Germany (BGB and AGB law in scope). Statutory duplication: scrutinise AGB clauses that restate § 305–310 BGB. Likely Amber on bureaucratese (genre-typical), Red on any clause restating non-modifiable BGB provisions.
Example 3 — French CGU
Input: French Conditions Générales d'Utilisation for a consumer platform.
Approach: Audience = consumers, language = FR. Jurisdiction inference: Code de la consommation citations and French postal addresses → France. Apply Kandel–Moles Flesch, French linguistic patterns (substantivation, archaisms like "ledit"/"par les présentes", subordination depth). Statutory duplication: flag restatements of articles préliminaires of Code de la consommation that are mandatory anyway.
Load only the files relevant to the current step:
references/jurisdiction_inference.mdreferences/linguistic_patterns_en.mdreferences/linguistic_patterns_fr.mdreferences/linguistic_patterns_de.mdreferences/readability_metrics.mdreferences/structure_navigation.mdreferences/hidden_conditions.mdreferences/statutory_duplication.mdreferences/visual_hierarchy.mdassets/assessment_report_template.md — the mandatory output structure for the final report.© lawve-ai, CC-BY-4.0. 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 11 other files (references, assets) in skills/legal-design-assessment-mirza-chiragov of lawve-ai/awesome-legal-skills.
Open the folder on GitHubat commit 045f738
Legal Design Assessment 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 |
|---|---|---|---|---|---|---|
| Legal Design Assessment this skilllawve-ai/awesome-legal-skills | 847 | — | ~3.7k | Automated safety check: Pass | CC-BY-4.0 | |
| Pii Contract Analyzegregmos/PII-Shield | 150 | — | ~8.9k | Automated safety check: Notes | MIT | |
| Terms Of Service Generatorzubair-trabzada/ai-legal-claude | 1.8k | — | ~2.9k | Automated safety check: Pass | None | |
| Legal Contract Genrongxinzy/RongxinAI | 154 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Legal CogaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Custom Nda Generatorzubair-trabzada/ai-legal-claude | 1.8k | — | ~2.9k | Automated safety check: Pass | None |
gregmos/PII-Shield
Universal legal document processor with PII anonymization. An agent skill from gregmos/PII-Shield.
zubair-trabzada/ai-legal-claude
Generates complete, GDPR/CCPA-compliant Terms of Service for a website or SaaS product, with plain English summaries for each section
rongxinzy/RongxinAI
通过交互式问答生成常用法律文书初稿,支持NDA(保密协议)、服务协议、隐私政策、合作框架协议等类型。当用户提到NDA、保密协议、服务协议、隐私政策、合同模板、法律文书、合作协议,或相应的英文术语(如terms of service、privacy policy、service agreement、non-disclosure agreement、contract template、legal…
aAAaqwq/AGI-Super-Team
Legal demands two things: frontier-level reasoning and precision document generation.
zubair-trabzada/ai-legal-claude
Generates a complete, customized Non-Disclosure Agreement with plain English annotations, tailored to the specific parties and situation
kimlawtech/korean-privacy-terms
EU 사용자 대상 서비스용 Privacy Notice·Terms of Service·Consent Modal·Cookie Banner 자동 생성.
lawve-ai/awesome-legal-skills
U.S. An agent skill from lawve-ai/awesome-legal-skills.
lawve-ai/awesome-legal-skills
Practitioner skill for advising on EU Regulation 2023/2854 (Data Act).
lawve-ai/awesome-legal-skills
Calendar litigation and arbitration deadlines from a scheduling order.
lawve-ai/awesome-legal-skills
Read, search, and download emails and attachments from Microsoft Outlook via OAuth2.
lawve-ai/awesome-legal-skills
Turn an interpretive-ambiguity audit of a legal text — contract, statute, regulation, or judicial opinion — into a polished deliverable.
lawve-ai/awesome-legal-skills
Audits a website for compliance with Azerbaijan's Law on Personal Data No.
Categories
Audits a legal document against legal design principles. An agent skill from lawve-ai/awesome-legal-skills. Legal Design Assessment is an agent skill from lawve-ai/awesome-legal-skills. Audits a legal document against legal design principles.
Legal Design Assessment fits situations like: A user shares a legal document (contract; internal policy) asking how good the drafting is from a legal design perspective; whether it is readable; whether it contains buried clauses.
Run `npx skills add lawve-ai/awesome-legal-skills --skill legal-design-assessment -a claude-code`. Or copy the skill folder (skills/legal-design-assessment-mirza-chiragov in lawve-ai/awesome-legal-skills) into .claude/skills/legal-design-assessment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lawve-ai/awesome-legal-skills --skill legal-design-assessment -a codex`. Or copy the skill folder (skills/legal-design-assessment-mirza-chiragov in lawve-ai/awesome-legal-skills) into .agents/skills/legal-design-assessment 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 legal-design-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/legal-design-assessment, .gemini/skills/legal-design-assessment, .github/skills/legal-design-assessment and .opencode/skills/legal-design-assessment in your project.
SKILL.md names no scripts, command-line tools or credentials: Legal Design Assessment is instructions for the agent only.
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. Review the folder before installing.
Legal Design Assessment is published under the CC-BY-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 19k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Legal Design Assessment: Pii Contract Analyze (gregmos/PII-Shield, 150 stars), Terms Of Service Generator (zubair-trabzada/ai-legal-claude, 1.8k stars), Legal Contract Gen (rongxinzy/RongxinAI, 154 stars) and Legal Cog (aAAaqwq/AGI-Super-Team, 105 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 847 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.