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BD xuanself-realtime

俄罗斯血糖检测设备市场调研（即时版）v3.0 —— 基于实战经验重构，整合 Python 脚本化报告生成 + SerpAPI 实时搜索 + ast.literal_eval 智能解析 + Xuanself 10章节标准结构，输出可直接交付的 Word 报告。专为 Russia Country Manager 设计，可规避 Error 10004（Token 溢出）问题。

ClawHub Agent Skills author: wangxuan1992asia-svg v1.0.0 MIT-0 18 files body ≈ 1 796 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentInfrastructuretype 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
77/100
safety, quality, tests
Safety 60%
85
Quality 40%
66
Run on models
none yet
Process rating
D
46/100
Unfinished process
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

What is at stake

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

Obfuscation 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 files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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
  • medium Obfuscation uni-mixed-script-word scripts/_rep_body2.py:9
    Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (1 occurrence)
    A("| Сателлит（Сputnik） | Элта（俄罗斯/莫斯科） | 性价比 | 政府采购 + 药店 + ОМС |")
  • medium Obfuscation uni-mixed-script-word scripts/_rep_body4.py:20
    Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (1 occurrence)
    A("| 1型糖尿病患者CGM设备ОМС覆盖讨论 | 2026年 | FreeStyle Libre等高端品类机会 |")
  • medium Obfuscation uni-mixed-script-word scripts/report_generator.py:80
    Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (2 occurrences)
    A("| Сателлит（Сputnik） | Элта（俄罗斯/莫斯科） | 性价比 | 政府采购 + 药店 + ОМС |")

Files scanned: 18. 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 "categories"
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 38 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1796 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

  • +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
  • -234 emoji in the instructions: noise for the model
  • -36 of 10 scripts are never mentioned in SKILL.md
  • +1No license
  • +3Description length 186: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (10 code blocks)
  • +2Bilingual instructions (RU + EN)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This is a coherent market-research report generator, but it ships an apparent API credential and handles user API keys in plaintext project files.
LLM: suspicious (high) · VirusTotal: · 29 May 2026