AD coppa-guard
COPPA 美国儿童隐私护栏 (coppa-guard) v1.0.0。 在面向美国市场的儿童向 App / 游戏 / 电商 / 教育产品的文案、隐私政策、 应用商店描述发布前，实时检测触发 COPPA 适用的表述与儿童隐私违规用语， 按风险分级输出命中与整改建议，供 Agent 主动调用。区别于事后深度审计，这是事前拦截。 Use when: 需要在发布面向美国儿童的产品的文案 / 隐私政策 / 应用商店描述前， 实时拦截"面向 13 岁以下儿童"触发 COPPA 适用的表述，以及收集儿童个人信息、 儿童行为定向广告、缺少可验证家长同意(VPC)、第三方披露儿童数据、儿童持久 标识符追踪等高频违规表达；防止触碰 COPPA 与 FTC 实施规则红线； 为中国出海企业/开发者加装一道轻量实时儿童隐私合规护栏。 核心能力： - 🛡️ 实时检测 6 类儿童隐私触发/违规：面向儿童(触发适用) / 收集儿童个人信息 / 儿童行为定向广告 / 缺少可验证家长同意 / 第三方披露儿童数据 / 儿童持久标识符追踪 - 📊 风险分级（high / medium / low）与逐条整改建议 - 🔍 重叠命中智能去重（保留高 severity / 更长匹配），降低误报 - 📋 结构化 JSON 输出，便于 Agent 程序化调用与批量扫描 - 🧱 内核与规则分离：规则集中在 scripts/rules/terms.py，追加词即可扩展 触发关键词：COPPA、儿童隐私、儿童在线隐私保护法、出海美国、儿童 App 合规、 可验证家长同意、VPC、面向儿童、儿童数据、persistent identifier、coppa-guard 适用范围：面向美国 13 岁以下儿童的产品的文案 / 隐私政策 / 应用商店描述的发布前实时检测 运行模式：纯本地，零网络请求，零动态执行 外部依赖：Python 标准库（无需额外安装） 本产品为免费护栏，纯本地运行，零网络请求，文本输入即可评估。
COPPA 美国儿童隐私护栏 (coppa-guard) v1.0.0。 在面向美国市场的儿童向 App / 游戏 / 电商 / 教育产品的文案、隐私政策、 应用商店描述发布前，实时检测触发 COPPA 适用的表述与儿童隐私违规用语， 按风险分级输出命中与整改建议，供 Agent…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 16 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 918 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)
- +3Description length 853: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 15 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.