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AF aim-trade-news

外贸资讯查询：查询最近1~3天的外贸相关资讯，返回AI生成的标题和摘要。Use when: 用户询问外贸资讯、外贸动态、外贸新闻、进出口政策、国际贸易资讯、trade news。NOT for: 国内新闻、娱乐资讯、实时行情（汇率/股价）。

ClawHub Agent Skills author: focus-aim v1.0.0 MIT-0 8 files body ≈ 714 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

As a process F 36/100 · Will not run — References files that are not bundled: {url}

ProcedureInfrastructuretype 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
A
95/100
safety, quality, tests
Safety 60%
99
Quality 40%
89
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: {url}
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. 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 Exfiltration read-dotenv README.md:23
    Reads a .env file
    cp .env.example .env

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {url}

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: {url}
  • 0Tools and files. 1 referenced file(s) missing: {url}
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 714 tokens
  • low 11 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
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 120: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: suspicious
The skill appears to perform its stated trade-news lookup, but it asks users to paste an API token into chat and has the agent save it locally without enough safety controls.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026