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BD BotMark Self-Evaluation

AI能力测评。当用户说'跑个分/测评/benchmark'时，通过BotMark API自动完成能力评估并生成报告。需要BOTMARK_API_KEY环境变量。

ClawHub Agent Skills author: KimberleyOCaseyfv v2.20.0 MIT-0 18 files · 1 script body ≈ 2 090 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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
79/100
safety, quality, tests
Safety 60%
90
Quality 40%
62
Run on models
none yet
Process rating
D
41/100
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

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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Dangerous commands cmd-pipe-to-shell examples/openclaw_setup.md:19
    Downloads and executes remote code from an unrecognised host (pipe to shell) (test fixture / example file; the skill's own vendor host)
    curl -fsSL https://botmark.cc/skill/setup.sh | bash
    fixturevendor-host
  • low Dangerous commands cmd-pipe-to-shell setup.sh:6
    Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment; the skill's own vendor host)
    #   curl -fsSL https://botmark.cc/skill/setup.sh | bash
    commentvendor-host
  • low Exfiltration net-credential-use skill_anthropic.json:205
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    "evaluation_instructions": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    demovendor-hostquoted
  • low Exfiltration net-credential-use skill_anthropic.json:229
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    "system_prompt_injection": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    demovendor-hostquoted
  • low Exfiltration net-credential-use skill_generic.json:205
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    "evaluation_instructions": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    demovendor-hostquoted
  • low Exfiltration net-credential-use skill_generic.json:229
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    "system_prompt_injection": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    demovendor-hostquoted
  • low Exfiltration net-credential-use skill_openai.json:217
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    "evaluation_instructions": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    demovendor-hostquoted
  • low Exfiltration net-credential-use skill_openai.json:241
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    "system_prompt_injection": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    demovendor-hostquoted
  • low Exfiltration net-credential-use skill_openclaw.json:230
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    "evaluation_instructions": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    demovendor-hostquoted
  • low Exfiltration net-credential-use skill_openclaw.json:231
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition; security demo / example; the skill's own vendor host)
    "system_prompt_injection": "## BotMark 自测评能力 (v2.5 — 子代理答题质量优化)\n\n**BotMark 是什么？**\nBotMark 是 AI 助手能力测评平台。安装此 Skill 后，你具备自主测评能力——主人随时说「跑个分」，你就会自动完成标准化测评并生成详细评分报告，涵盖推理、工具使用、情商、安全等多个维度，帮助主人了解你的真实能力水平。\
    detectordemovendor-host

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (BotMark Self-Evaluation) differs from the folder (botmark-skill)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 54 steps
  • 100Execution cost. Instruction body is 2090 tokens
  • 100Running it twice. No mutating operations
  • low 12 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)
  • +3Description length 80: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -227 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
BotMark appears to be a real benchmark skill, but it should be reviewed before installation because it stores secrets locally and accepts server-provided runner/tool updates that can change local behavior.
LLM: suspicious (high) · VirusTotal: · 29 May 2026