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BF linkfox-tiktok-selection-and-shoppable-video

TikTok 选品与带货视频一站式 AI 工具集，整合 EchoTik/FastMoss 选品数据与 TikTok 官方带货视频 API，覆盖 TikTok Shop 选品、爆品趋势、带货视频分析与可购物视频发布。

ClawHub Agent Skills author: linkfox-ai v1.2.3 MIT-0 48 files body ≈ 3 708 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

TikTok 选品与带货视频一站式 AI 工具集，整合 EchoTik/FastMoss 选品数据与 TikTok 官方带货视频 API，覆盖 TikTok Shop 选品、爆品趋势、带货视频分析与可购物视频发布。

As a process F 33/100 · Will not run — References files that are not bundled: openId/displayName/region/userType, references/<子能力>.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
81/100
safety, quality, tests
Safety 60%
97
Quality 40%
58
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: openId/displayName/region/userType, references/<子能力>.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

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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-shell-rc references/onboarding.md:13
    Writes to a shell startup file (quoted — discussed, not commanded)
    - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.zshrc && source ~/.zshrc`
    quoted
  • low Dangerous commands cmd-shell-rc references/onboarding.md:14
    Writes to a shell startup file (detector / deny-list definition)
    - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.bashrc && source ~/.bashrc`
    detector
  • low Secrets in code secret-high-entropy-token scripts/onboarding.py:49
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    or "eyJh…iJ9")
    quoted

Files scanned: 48. 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: openId/displayName/region/userType
  • warning missing-ref reference to a missing file: references/<子能力>.md
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: openId/displayName/region/userType, references/<子能力>.md
  • 0Tools and files. 2 referenced file(s) missing: openId/displayName/region/userType, references/<子能力>.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
  • 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. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3708 tokens
  • low The response is described with custom markup (8 tags): a typed call is more reliable

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
  • -32 of 34 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (12 of 12)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
The skill’s TikTok product and shoppable-video purpose is coherent, but it needs Review because it handles credentials and billing while some helper behavior is broader or less contained than the documentation says.
LLM: suspicious (high) · 14 Aug 2026