SKILLEMALL.ai

AC ai-legal-helper

基于 Qwen2.5-Instruct + RAG 搭建的 AI 法律咨询助手 Skill,覆盖个人创业者 / 中小微企业 / 自媒体的高频法律需求:合同智能审查、合同条款解读、法律法规检索、维权建议。提供从需求澄清 → RAG 检索 → 风险点输出 → 行动建议的完整工作流,以及 4 大核心场景的专家级 Prompt、Freemium 商业模式模板与"产品构建 → 冷启动 → 规模化"三阶段落地路线。触发场景:用户提到"AI 法律助手""合同审查""条款解读""法律咨询""个人创业法律""蓝海赛道""法律 RAG""freemium 法律服务"等。

ClawHub Agent Skills author: Lzh1998-ui v1.0.0 MIT-0 12 files body ≈ 734 tokens Open the sourceclawhub.ai analyzed 3 d ago

基于 Qwen2.5-Instruct + RAG 搭建的 AI 法律咨询助手 Skill,覆盖个人创业者 / 中小微企业 / 自媒体的高频法律需求:合同智能审查、合同条款解读、法律法规检索、维权建议。提供从需求澄清 → RAG 检索 → 风险点输出 → 行动建议的完整工作流,以及 4 大核心场景的专家级…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 734 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 278: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This skill is a disclosed legal-AI product guide with high-stakes content warnings, but it does not install code, run commands, persist itself, or access user data on its own.
LLM: benign (high) · VirusTotal: · 2 Aug 2026