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BF linkfox-temu-returns-refunds-global

Temu 全球站电商退货与退款 API，经 LinkFox 网关转发 Partner Global Returns & Refunds / 售后退货退款 相关 bg/temu 接口（退货申请、退款、售后单查询与处理等，接口将按 Partner 文档逐条接入）。当用户提到 Temu Global 退货、退款、售后退货、return、refund、aftersales return、parentAfterSalesSn、退货单、退款单、order-shipping 售后 时触发。买家/卖家取消订单用 linkfox-temu-cancel-order-global / linkfox-temu-cancel-order-global；订单用 linkfox-temu-order-global。

ClawHub Agent Skills author: linkfox-ai v1.0.6 MIT-0 41 files body ≈ 1 174 tokens Open the sourceclawhub.ai↗ analyzed 26 h ago

Temu 全球站电商退货与退款 API，经 LinkFox 网关转发 Partner Global Returns & Refunds / 售后退货退款 相关 bg/temu 接口（退货申请、退款、售后单查询与处理等，接口将按 Partner 文档逐条接入）。当用户提到 Temu Global…

As a process F 33/100 · Will not run — References files that are not bundled: references/apis/<type-slug>.md, scripts/global_returns_refunds_<slug>.py

IntegrationCommercetype 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%
92
Quality 40%
64
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/apis/<type-slug>.md, scripts/global_returns_refunds_<slug>.py
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-redirectable-api-key scripts/_temu_common.py:17
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • 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: 41. 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/apis/<type-slug>.md
  • warning missing-ref reference to a missing file: scripts/global_returns_refunds_<slug>.py

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/apis/<type-slug>.md, scripts/global_returns_refunds_<slug>.py
  • 0Tools and files. 2 referenced file(s) missing: references/apis/<type-slug>.md, scripts/global_returns_refunds_<slug>.py
  • 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. 7 mutating operations with no state check
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1174 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (9 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
  • -36 of 24 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 349: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 5)

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

External checks

ClawHub: suspicious
The skill is mostly aligned with Temu returns/refunds, but it bundles broad proxying, token handling, account onboarding, billing, and local data retention that users should review before installing.
LLM: suspicious (high) · 14 Aug 2026