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BC linkfox-seerfar-ozon-shop-search

Seerfar Ozon 店铺商品搜索：按 Ozon 店铺（卖家）ID 拉取该店铺的商品列表，返回每个商品的近30天销量、价格、评分、重量、配送方式（FBO/FBS）、卖家类型（本土/跨境）、退货取消率，以及店铺近30天总销量。用于竞品店铺商品分析、店铺爆品挖掘、卖家商品结构拆解。当用户提到 Ozon 店铺商品、Ozon 卖家商品列表、竞品店铺分析、Ozon 店铺爆品、Ozon 卖家分析、Seerfar Ozon 店铺搜索、Ozon shop search, Ozon seller products, competitor shop analysis, Ozon store products 时触发此技能。即使用户未明确提到"Seerfar"，只要其意图是查看某 Ozon 店铺/卖家的商品与销量数据，也应触发此技能。

ClawHub Agent Skills author: linkfox-ai v1.0.5 MIT-0 6 files body ≈ 2 193 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Seerfar Ozon 店铺商品搜索：按 Ozon 店铺（卖家）ID 拉取该店铺的商品列表，返回每个商品的近30天销量、价格、评分、重量、配送方式（FBO/FBS）、卖家类型（本土/跨境）、退货取消率，以及店铺近30天总销量。用于竞品店铺商品分析、店铺爆品挖掘、卖家商品结构拆解。当用户提到 Ozon…

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentData and analyticsCommercetype 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
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
73
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 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: 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")

Process rating: all ten parameters 58/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 35 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2193 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 363: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill performs the advertised Ozon seller search, but it also bundles sensitive account, API-key, billing, feedback, and local-retention behavior that should be reviewed before use.
LLM: suspicious (high) · 14 Aug 2026