AD fin-pipl
金融行业个人信息保护（PIPL）合规检查工具。 基于《个人信息保护法》《个人金融信息保护规范》(JR/T 0171)、 《金融数据安全 数据安全分级指南》(JR/T 0197) 等行业法规， 提供银行、证券、保险、支付四大场景的合规评估。 Use when: 需要进行金融行业PIPL合规自查、 个人金融信息保护评估、金融数据安全分级检查、 金融产品营销合规检查、金融自动化决策合规评估。 🎉 v1.0.0 首发： - 📋 20+ 金融场景专属检查项 - 🏦 覆盖银行/证券/保险/支付四大业务 - 📊 支持 Markdown / JSON / HTML 多格式报告 - 🔒 纯本地运行，无网络请求 触发关键词：金融合规、个人金融信息、JR/T 0171、JR/T 0197、 金融数据安全、适当性管理、征信合规、信贷合规、 保险核保、支付合规、金融营销、自动化决策 适用范围：中华人民共和国金融行业（银行/证券/保险/支付） 运行模式：纯本地，无网络请求 ✅ 外部依赖：Python 标准库（无需额外安装）
金融行业个人信息保护（PIPL）合规检查工具。 基于《个人信息保护法》《个人金融信息保护规范》(JR/T 0171)、 《金融数据安全 数据安全分级指南》(JR/T 0197) 等行业法规， 提供银行、证券、保险、支付四大场景的合规评估。 Use when: 需要进行金融行业PIPL合规自查、…
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: 0. 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. 64 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 829 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
- -213 emoji in the instructions: noise for the model
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 463: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 64 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.