SKILLEMALL.ai

AC data-audit

数据操作审计追踪器 (Data Audit)。 对数据目录生成 SHA256 快照、比对文件变化(新增/删除/修改)、 记录操作日志、检查数据目录健康状态。 适用于数据合规场景中的操作追溯和审计准备。 Use when: 需要追踪数据文件变化、生成审计快照、 合规审查准备、文件完整性验证、数据目录健康检查。 🎉 v1.1.0 核心功能: - 📸 数据目录 SHA256 快照 - 🔄 快照对比(新增/删除/修改检测) - 📝 操作日志记录与查询 - 🔍 数据目录健康检查 - 📊 JSON 报告导出 触发关键词:数据审计、文件追踪、快照比对、SHA256、 完整性校验、合规审计、数据治理、变更追踪 适用范围:任意数据文件目录 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)

ClawHub Agent Skills author: ChengQian v1.1.0 MIT-0 7 files body ≈ 898 tokens Open the sourceclawhub.ai analyzed 2 d ago

数据操作审计追踪器 (Data Audit)。 对数据目录生成 SHA256 快照、比对文件变化(新增/删除/修改)、 记录操作日志、检查数据目录健康状态。 适用于数据合规场景中的操作追溯和审计准备。 Use when: 需要追踪数据文件变化、生成审计快照、 合规审查准备、文件完整性验证、数据目录健康检查。 🎉…

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

    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: 7. 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 57/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 898 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +3Description length 364: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 10 items
    • +3Output format is stated explicitly
    • +4Has examples (13 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This is a local data-audit utility whose file scanning, report writing, and local history log match its stated purpose.
    LLM: benign (high) · VirusTotal: · 25 Jul 2026