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BF clawec-tiktok-product-analysis

通过 ClawEC API 对 TikTok Shop 单品做商品分析（渠道分布、内容形式、付费/自然流量、每日趋势），可选 AI 解读。在用户需要 TikTok 商品分析、单品调研、product analysis、解析商品链接或 ID、/tool/tiktok-product-analysis 时使用。

ClawHub Agent Skills author: clawEC v1.0.2 MIT-0 6 files · 4 scripts body ≈ 1 234 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

通过 ClawEC API 对 TikTok Shop 单品做商品分析（渠道分布、内容形式、付费/自然流量、每日趋势），可选 AI 解读。在用户需要 TikTok 商品分析、单品调研、product analysis、解析商品链接或 ID、/tool/tiktok-product-analysis 时使用。

As a process F 30/100 · Will not run — References files that are not bundled: ../../../docs/titkok-product-api.md

IntegrationMarketingtype 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%
69
Run on models
none yet
Process rating
F
30/100
Will not run
References files that are not bundled: ../../../docs/titkok-product-api.md
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 · 0

✓ No critical or high findings

Files scanned: 6. 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: ../../../docs/titkok-product-api.md

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: ../../../docs/titkok-product-api.md
  • 0Tools and files. 1 referenced file(s) missing: ../../../docs/titkok-product-api.md
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (clawec-tiktok-product-analysis) differs from the folder (clawec-tiktok-shop-analysis)
  • 100Steps. 30 steps
  • 100Execution cost. Instruction body is 1234 tokens
  • 100Progress reporting. Reports progress
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 154: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (8 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This skill coherently wraps the ClawEC TikTok product-analysis API and does not show hidden, destructive, or unrelated behavior.
LLM: benign (high) · VirusTotal: · 10 Jul 2026