SKILLEMALL.ai

BC linkfox-expert-keyword-mining-expert

亚马逊关键词挖掘与扩展专家。适用于关键词发现、种子词扩展、流量词挖掘、反查 ASIN 关键词、搜索词筛选,以及为亚马逊选品研究生成关键词列表的场景。

ClawHub Agent Skills author: linkfox-ai v1.0.1 MIT-0 80 files body ≈ 4 326 tokens Open the sourceclawhub.ai analyzed 2 d ago

亚马逊关键词挖掘与扩展专家。适用于关键词发现、种子词扩展、流量词挖掘、反查 ASIN 关键词、搜索词筛选,以及为亚马逊选品研究生成关键词列表的场景。

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
97
Quality 40%
68
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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.
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 Exfiltration net-credential-use skills/linkfox-sellersprite-traffic-keyword/references/api.md:177
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -X POST https://tool-gateway.linkfox.com/sellersprite/traffic/keyword   -H "Authorization: $LINKFOXAGENT_API_KEY"   -H "Content-Type: application/json"   -d '{
    vendor-host
  • low Dangerous commands cmd-shell-rc skills/linkfox-sellersprite-traffic-keyword/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 skills/linkfox-sellersprite-traffic-keyword/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: 3. 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")
  • note frontmatter-key unknown frontmatter key "zh_name"

Process rating: all ten parameters 52/100

  • 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
  • 70Execution cost. Instruction body is 4326 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 125 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations

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)
  • +3Description length 74: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 125 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This looks like a real LinkFox keyword-mining workflow, but it bundles broader account, upload, scheduling, and skill-creation powers that should be reviewed before installation.
LLM: suspicious (high) · 9 Aug 2026