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小红书内容灵感聚合技能，覆盖选题灵感全链路：关键词爆款笔记搜索（相关性/热度/时效三维评分）、批量获取作品数据（支持 Excel/HTML 导出）、每日爆款 TOP50 爆发榜、低粉爆款挖掘（粉丝<5000 点赞>500）、账号日/周/月榜 TOP50、同阶对标与高阶标杆推荐。当用户需要小红书灵感、爆款搜索、笔记查询、批量获取作品、每日爆款、低粉爆款、账号榜单、涨粉榜、对标账号推荐时使用。触发词：小红书灵感、小红书爆款、小红书搜索、小红书爬取、每日爆款、低粉爆款、小红书榜单、日榜周榜月榜、对标账号。严禁任何联网搜索。

ClawHub Agent Skills author: to the moon v1.0.0 MIT-0 22 files body ≈ 2 521 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: 链接, work_url

ProcedureGitHubData and analyticsInfrastructuretype 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
83/100
safety, quality, tests
Safety 60%
98
Quality 40%
61
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: 链接, work_url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-password-literal scripts/fetch_explosive_articles.py:152
    Hard-coded password / key literal (may be an example)
    api_key = match.group(1).strip()
  • low Dangerous commands cmd-shell-rc SKILL.md:47
    Writes to a shell startup file (security demo / example; quoted — discussed, not commanded)
    配置示例：`echo 'export REDFOX_API_KEY=ak_xxx' >> ~/.zshrc && source ~/.zshrc`；验证：`echo $REDFOX_API_KEY`。Windows：`[Environment]::SetEnvironmentVariable("REDFOX_API_KEY", "<值>", "User")` 后重启终端。
    demoquoted

Files scanned: 22. 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")
  • warning missing-ref reference to a missing file: 链接
  • warning missing-ref reference to a missing file: work_url
  • note frontmatter-key unknown frontmatter key "dependency"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: 链接, work_url
  • 0Tools and files. 2 referenced file(s) missing: 链接, work_url
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2521 tokens
  • low 11 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
  • -239 emoji in the instructions: noise for the model
  • -31 of 10 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 261: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This skill does what it advertises, but it handles API credentials and generated reports in ways that create avoidable security risk.
LLM: suspicious (high) · 7 Sept 2026