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BD contract-review

AI合同智能审查助手。上传或粘贴合同文本，自动进行9维雷达评分、风险热力图可视化、条款对比修改建议、法律依据引用、谈判策略生成，输出交互式HTML审查报告。覆盖买卖合同/劳动用工/租赁合同/服务合同/保密协议/投资协议/建设工程/技术开发8类合同类型。触发词：合同审查, 审合同, 合同风险, 合同分析, 审查合同, contract review, 帮我看看合同, 合同审核, 法律风险分析。

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 15 files body ≈ 863 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

AI合同智能审查助手。上传或粘贴合同文本，自动进行9维雷达评分、风险热力图可视化、条款对比修改建议、法律依据引用、谈判策略生成，输出交互式HTML审查报告。覆盖买卖合同/劳动用工/租赁合同/服务合同/保密协议/投资协议/建设工程/技术开发8类合同类型。触发词：合同审查, 审合同, 合同风险, 合同分析, 审查合同…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
67
Run on models
none yet
Process rating
D
49/100
Unfinished process
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash WebSearch WebFetch Grep Glob

Files scanned: 15. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "location"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (contract-review) differs from the folder (contract-ai-review)
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 91 steps
  • 100Execution cost. Instruction body is 863 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 197: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 91 items
  • +4Reference files are cited in the instructions (10 of 10)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill’s contract-review purpose is legitimate, but it handles sensitive legal documents while claiming offline/local use despite network-capable tools and a generated report that loads external JavaScript.
LLM: suspicious (high) · VirusTotal: · 18 Jun 2026