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AC guaikei-xhs-viral-mining

按关键词搜索小红书公开笔记，返回标题、正文摘要、作者、互动数据与跳转链接。当用户给出某个话题/品类/词并想看小红书上相关内容时使用本技能；即使用户没说"小红书搜索"，只要意图是了解某词在社媒上的表现也适用。不用于 SEO 关键词工具或广告投放。

ClawHub Agent Skills author: engheng-art v1.0.0 MIT-0 24 files body ≈ 988 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

按关键词搜索小红书公开笔记，返回标题、正文摘要、作者、互动数据与跳转链接。当用户给出某个话题/品类/词并想看小红书上相关内容时使用本技能；即使用户没说"小红书搜索"，只要意图是了解某词在社媒上的表现也适用。不用于 SEO 关键词工具或广告投放。

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

ProcedureMarketingtype 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
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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 · 0

✓ No critical or high findings

Files scanned: 24. 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")
  • note frontmatter-key unknown frontmatter key "name_cn"

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. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 988 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
  • +2Single-language instructions
  • +3Description length 122: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill is a disclosed Xiaohongshu data tool, but it needs Review because it can collect comments and creator-post data through a third-party API and automatically save full results locally.
LLM: suspicious (high) · VirusTotal: · 13 Aug 2026