SKILLEMALL.ai

BF cashback

海外品牌官方商城返利(cashback)助手。通过多麦联盟渠道,为指定海外商家的购物订单提供返利查询与转链服务,三个能力:粘贴商品链接生成返利短链、查询商家返利比例、查看个人返利订单。当前仅支持 Adidas、Space NK NL(荷兰站)、designwebstore DE(德国站)三家,不在清单中的海外商家暂未开通。当用户发来这三家商家的商品链接,或提到"Adidas/阿迪达斯返利"、"Space NK 返利"、"designwebstore 返利"、"cashback"、"海淘返利"、"我的返利订单"时使用。不适用于:清单外的任何商家(包括 Amazon/Nike/iHerb/eBay/Shein 等)、快递查询、汇率换算。

ClawHub Agent Skills author: fangshan101-coder v1.2.2 MIT-0 10 files body ≈ 886 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 35/100 · Will not run — References files that are not bundled: ../fx-base/SKILL.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: ../fx-base/SKILL.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 · 0

✓ No critical or high findings

Files scanned: 10. 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: ../fx-base/SKILL.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: ../fx-base/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../fx-base/SKILL.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
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 886 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -33 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 320: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This cashback skill is mostly purpose-aligned, but it needs review because its scripts can send unsupported merchant links or queries, plus order-related data, to an external affiliate API.
LLM: suspicious (high) · VirusTotal: · 29 May 2026