SKILLEMALL.ai

AF ccpa-compliance

美国加州消费者隐私法(CCPA/CPRA)合规检查、风险评估和文档生成工具。 为涉及加州消费者数据的业务提供全面的CCPA/CPRA合规解决方案。 Use when: 需要进行CCPA/CPRA合规自查、消费者权利保障检查、选择退出机制实现、 数据销售合规检查、服务提供商管理、隐私合规体系建设。 🎉 v1.1.0 安全增强更新: - 🔧 全新统一化CLI接口,与PIPL、GDPR工具体验一致 - 📊 支持JSON/Markdown/HTML/CSV多格式报告输出 - 🚀 跨法域检查:可与PIPL、GDPR配合使用 - 🔒 纯本地运行(pandas/jinja2可选增强) - 🔒 移除 subprocess 脚本,升级依赖版本,通过安全扫描 触发关键词:CCPA、CPRA、加州合规、消费者隐私、数据保护、美国合规、 California privacy、Do Not Sell、消费者权利、选择退出 适用范围:美国加州消费者隐私法(CCPA)/ 加州隐私权法案(CPRA) 运行模式:纯本地,无网络请求 ❎ 外部依赖:Python标准库 + pandas(可选) + jinja2(可选)

ClawHub Agent Skills author: ChengQian v1.1.0 MIT-0 18 files body ≈ 1 359 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/security_check_ccpa.py

ReferenceData and analyticsLegaltype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/security_check_ccpa.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/security_check_ccpa.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/security_check_ccpa.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/security_check_ccpa.py
  • 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
  • 100Steps. 64 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1359 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
  • -222 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 508: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 64 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This is a local CCPA/CPRA compliance helper whose file access and report writing are disclosed and aligned with its purpose, with some documentation and dependency hygiene issues to consider.
LLM: benign (high) · VirusTotal: · 19 Jul 2026