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BC anduoduo-openclaw-skill

面向安多多平台 OpenClaw API 的数据分析与查数技能。只要用户提到安多多、OpenClaw、云资产风险、风险聚合、风险资产盘点、整体风险情况、高风险分布、规则下钻、合规摘要、合规报告、生成查数报告、或希望基于该平台接口做数据分析与 HTML 报告，就应优先使用本技能。尤其当任务属于概览性风险查询（例如"帮我看一下有哪些风险资产""看整体风险情况""查当前高风险分布"）时，必须生成基于固定模板的 HTML 彩页报告，即使用户没有明确要求模板或图表，也要主动按本技能执行。

ClawHub Agent Skills author: anduoduo v1.1.2 MIT-0 18 files body ≈ 1 115 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token references/anduoduo_api_final.md:736
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
    | data[].id | string | 框架 ID | `rule…001` |
    detectortable
  • low Secrets in code secret-high-entropy-token references/anduoduo_api_final.md:766
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
    | standardAndRegulationsIds | 是 | array<string> | 合规框架 ID 列表 | `["rule…001"]` |
    detectortable
  • low Secrets in code secret-high-entropy-token references/anduoduo_api_final.md:774
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
    | data[].standardAndRegulationsId | string | 框架 ID | `rule…001` |
    detectortable
  • low Secrets in code secret-high-entropy-token references/anduoduo_api_final.md:787
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    -d '{"standardAndRegulationsIds": ["rule…001"]}'
    detector
  • low Secrets in code secret-high-entropy-token references/anduoduo_api_final.md:813
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
    | standardAndRegulationsIds | 是 | array<string> | 合规框架 ID 列表 | `["rule…001"]` |
    detectortable

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 92 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1115 tokens
  • 100Running it twice. No mutating operations
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 241: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 92 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (7 of 8)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
The skill is mostly a disclosed Anduoduo/OpenClaw reporting helper, but it also documents sensitive cloud-account onboarding with raw AK/SK credentials and broad automatic report behavior that need review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026