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BF linkfox-amazon-store-report

亚马逊店铺报告自动化获取技能，支持库存报告、订单报告、销售流量报告、FBA报告、财务结算报告等95+种报告类型的全流程自动获取（请求→轮询→下载→解压）；完成后默认启动本机短时HTTP服务，生成extractedFileHttpUrl供浏览器下载已解压文件。本技能依赖 linkfox-amazon-store-auth（授权与令牌管理）。当用户提到拉取亚马逊报告、下载Amazon报告、获取库存报告、获取订单报告、FBA报告、销售流量报告、财务结算报告、Brand Analytics报告、ABA搜索词报告、pull Amazon report, download Amazon report, fetch inventory report, fetch orders report, FBA report, sales and traffic report, settlement report, Amazon store report时触发此技能。只要其需求涉及从亚马逊卖家后台拉取任何形式的结构化数据（库存、订单、销量、财务、退货等），也应触发此技能。

ClawHub Agent Skills author: linkfox-ai v1.0.7 MIT-0 80 files body ≈ 2 743 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 43/100 · Will not run — References files that are not bundled: references/report-requests/types/README.md, scripts/check_auth_dependency.py, references/report-types.md

ProcedureData and analyticstype 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
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
64
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: references/report-requests/types/README.md, scripts/check_auth_dependency.py, references/report-types.md
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/report-requests/types/README.md
  • warning missing-ref reference to a missing file: scripts/check_auth_dependency.py
  • warning missing-ref reference to a missing file: references/report-types.md
  • warning missing-ref reference to a missing file: references/report-requests/types/<REPORT_TYPE>.md
  • warning missing-ref reference to a missing file: scripts/get_report.py

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: references/report-requests/types/README.md, scripts/check_auth_dependency.py, references/report-types.md
  • 0Tools and files. 5 referenced file(s) missing: references/report-requests/types/README.md, scripts/check_auth_dependency.py, references/report-types.md
  • 0Result and completion. Does not say what the result is
  • 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
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 81 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2743 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (12 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 480: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill does fetch Amazon seller reports as advertised, but it also includes account/billing/payment flows, automatic feedback reporting, and default local serving/persistence of sensitive report data.
LLM: suspicious (high) · 14 Aug 2026