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BF linkfox-amazon-store-operations

亚马逊店铺 SP-API 运营一站式 AI 工具集，整合授权/订单/Listing/定价/Catalog/报告/Feeds/买家反馈/文件上传/A+ Content/External Fulfillment/FBA 等 12 项子能力，覆盖店铺日常运营全链路。

ClawHub Agent Skills author: linkfox-ai v1.2.3 MIT-0 80 files body ≈ 4 566 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

亚马逊店铺 SP-API 运营一站式 AI 工具集，整合授权/订单/Listing/定价/Catalog/报告/Feeds/买家反馈/文件上传/A+ Content/External Fulfillment/FBA 等 12 项子能力，覆盖店铺日常运营全链路。

As a process F 31/100 · Will not run — References files that are not bundled: references/<源skill>.md, references/report-types.md

IntegrationData and analyticsCommerceMarketingtype 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
80/100
safety, quality, tests
Safety 60%
98
Quality 40%
54
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/<源skill>.md, references/report-types.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 · 2

✓ No critical or high findings

Medium and low: 2
  • 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

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 6, column 17: description_en: One-stop Amazon store SP-API operations toolkit integrating 10 … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/<源skill>.md
  • warning missing-ref reference to a missing file: references/report-types.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 31/100

Will not run. References files that are not bundled: references/<源skill>.md, references/report-types.md
  • 0Tools and files. 2 referenced file(s) missing: references/<源skill>.md, references/report-types.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. 20 mutating operations with no state check
  • 70Execution cost. Instruction body is 4566 tokens
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 130: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (13 of 15)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This skill is a coherent Amazon seller operations integration, but it handles high-impact store access, tokens, local data retention, and write actions in ways users should review carefully before installing.
LLM: suspicious (high) · 14 Aug 2026