SKILLEMALL.ai

AC volcengine-compliance

火山引擎合规最佳实践助手:一是根据用户诉求(要满足的合规标准、关键词、关注的风险等级), 从火山引擎官方内置的合规包模板里推荐该开启哪些、并标出哪些已开启;二是汇总账号当前的合规 态势,把已生效规则/合规包(官方内置 + 用户自定义)的评估结果按类别(法规 / 最佳实践 / 自定义)与严重度聚合成一份合规总览报告;三是当官方基线没覆盖时,指导用户写一条 Rego 策略 作为自定义合规规则并注册评估。可在用户确认后把推荐的模板部署为合规包。Use when 用户想做「合规检查 / 合规巡检 / 安全合规 / 合规最佳实践 / 该开哪些合规规则 / 等保合规 / 我火山账号合规吗 / 有哪些不合规 / 帮我写条自定义合规规则」,或提到火山引擎「配置审计 / Config / 合规包 / conformance pack / Rego 策略」。Trigger on 火山 / 火山引擎 / volcengine 关键词叠加合规场景。部署合规包 / 注册自定义规则属写操作,需用户确认;合规报告 与资源修复严格分离。

ClawHub Agent Skills author: sdk-team v1.0.2 MIT-0 8 files body ≈ 1 366 tokens Open the sourceclawhub.ai analyzed 12 h ago

火山引擎合规最佳实践助手:一是根据用户诉求(要满足的合规标准、关键词、关注的风险等级), 从火山引擎官方内置的合规包模板里推荐该开启哪些、并标出哪些已开启;二是汇总账号当前的合规 态势,把已生效规则/合规包(官方内置 + 用户自定义)的评估结果按类别(法规 / 最佳实践 /…

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

ProcedureSecurityAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
57/100
Has gaps
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

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: 8. 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

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1366 tokens
    • low 10 top-level sections: this looks like several domains in one skill

    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
    • +2Single-language instructions
    • +3Description length 459: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This skill is a coherent Volcengine compliance helper that uses disclosed cloud credentials and only performs cloud-side writes after explicit confirmation.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026