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BC ip-intelligence-fusion

核查单个已授权公网 IPv4/IPv6 的归属、路由、信誉与代理/欺诈风控信号，覆盖跨境电商与社媒矩阵、广告与本地 SEO、调研比价、品牌与网站测试、AI 账号、直播和多环境运营；默认本地处理，外部查询需明确确认。

ClawHub Agent Skills author: Jeff Li v2.0.0 MIT-0 18 files body ≈ 1 667 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

核查单个已授权公网 IPv4/IPv6 的归属、路由、信誉与代理/欺诈风控信号，覆盖跨境电商与社媒矩阵、广告与本地 SEO、调研比价、品牌与网站测试、AI 账号、直播和多环境运营；默认本地处理，外部查询需明确确认。

As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureMarketingtype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
C
50/100
Has gaps
Failures and branches w 10
0
When it triggers w 12
20
Inputs and preconditions w 11
30
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 · 0

✓ No critical or high findings

Files scanned: 16. 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 50/100

  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 3 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (ip-intelligence-fusion) differs from the folder (ip-address-reputation-risk)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 16 steps
  • 100Execution cost. Instruction body is 1667 tokens
  • 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)
  • +3Description length 107: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 6)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
The skill is a clearly scoped single-IP intelligence tool with local-only defaults, explicit external-query confirmation, and no hidden persistence or unrelated runtime behavior.
LLM: benign (high) · VirusTotal: · 21 Aug 2026