client-intake
client-intake is a Customer onboarding & adoption skill for AI agents, published by lawdroidAI in the legal-aid-plugin repository on GitHub. Skillspace rates client-intake D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Structured intake on a matter that has cleared eligibility screening. Pulls upstream conversation context if LIA-MCP or VIA-MCP is connected, routes to practice-area template, spots cross-area issues, runs full conflict check, propagates funder-source matrix and funding-restriction flags from screening, classifies urgency, and produces a formatted case summary the staff attorney analyzes and the managing attorney reviews. Does NOT decide case acceptance. Use after /eligibility-screening, when starting a new client intake, or writing up a new client's situation.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 81 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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