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BF linkfox-skill-creator

跨境电商专业 skill 创建向导。把运营、选品、广告、物流、合规等专家脑子里的业务经验，通过 30-45 分钟的结构化访谈沉淀为 agent 可执行的高质量 skill。触发：帮我写一个 XX skill / 把我这个经验做成 skill / 封装一下我做 XX 的方法 / 把这套 SOP 变成技能 / 沉淀 XX 流程 / 生成专业 skill / 创建新技能 / 专家经验沉淀 / create a new skill

ClawHub Agent Skills author: lienong1122334 v1.0.0 MIT-0 27 files body ≈ 1 709 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

跨境电商专业 skill 创建向导。把运营、选品、广告、物流、合规等专家脑子里的业务经验，通过 30-45 分钟的结构化访谈沉淀为 agent 可执行的高质量 skill。触发：帮我写一个 XX skill / 把我这个经验做成 skill / 封装一下我做 XX 的方法 / 把这套 SOP 变成技能 / 沉淀…

As a process F 33/100 · Will not run — References files that are not bundled: scripts/*.py, scripts/api_call.py, references/interview-record.md

GeneratorAI and agentstype 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
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
63
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/*.py, scripts/api_call.py, references/interview-record.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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token references/interview-record-schema.md:313
    High-entropy token-like string (may be an id, hash or a credential)
    privacy_review: no_s…:00+08:00

Files scanned: 27. 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: scripts/*.py
  • warning missing-ref reference to a missing file: scripts/api_call.py
  • warning missing-ref reference to a missing file: references/interview-record.md
  • warning missing-ref reference to a missing file: templates/SKILL.md.tpl
  • warning missing-ref reference to a missing file: templates/script-skeleton.py.tpl
  • note frontmatter-key unknown frontmatter key "authored_by"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/*.py, scripts/api_call.py, references/interview-record.md
  • 0Tools and files. 5 referenced file(s) missing: scripts/*.py, scripts/api_call.py, references/interview-record.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. 3 mutating operations with no state check
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1709 tokens
  • low 14 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

  • +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 213: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (9 of 9)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This is mostly a legitimate skill-creation wizard, but it includes broad local script execution, remote install guidance, and persistent logs that users should review before installing.
LLM: suspicious (high) · 14 Aug 2026