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新能源汽车品牌舆情监控 - 自动搜索、分析国内平台的品牌提及情况

modbender/skill-library-mcp Agent Skills author: modbender MIT 30 files · 2 scripts body ≈ 725 tokens Open the sourcegithub.com↗ analyzed 3 d ago

新能源汽车品牌舆情监控 - 自动搜索、分析国内平台的品牌提及情况

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsMarketingtype 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
C
66/100
safety, quality, tests
Safety 60%
71
Quality 40%
59
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

Broad scope 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 skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 13

✓ No critical or high findings

Medium and low: 13
  • medium Dangerous commands cmd-shell-rc crawler/SerpAPI使用指南.md:53
    Writes to a shell startup file
    echo 'export SERPAPI_KEY="your_api_key_here"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc README.md:47
    Writes to a shell startup file
    echo 'export SERPAPI_KEY="your_api_key_here"' >> ~/.bashrc
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: shell
    allowed-tools: shell web_fetch message
  • medium Dangerous commands cmd-shell-rc 使用指南-SerpAPI版.md:49
    Writes to a shell startup file
    echo 'export SERPAPI_KEY="your_api_key_here"' >> ~/.bashrc
  • low Dangerous commands cmd-cron-mention README.md:201
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-background-process README.md:245
    Starts a background / autostarted process
    sudo systemctl enable brand-monitor.timer
  • low Dangerous commands cmd-cron-mention 使用指南-SerpAPI版.md:145
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-background-process 使用指南-SerpAPI版.md:189
    Starts a background / autostarted process
    sudo systemctl enable brand-monitor.timer
  • low Dangerous commands cmd-cron-mention 如何使用Skill.md:237
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-background-process 如何使用Skill.md:277
    Starts a background / autostarted process
    sudo systemctl enable brand-monitor.timer
  • low Dangerous commands cmd-cron-mention 新能源汽车品牌监控-完整指南.md:359
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention 部署指南.md:455
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention 部署指南.md:493
    Mentions editing / listing crontab
    crontab -l

Files scanned: 30. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "keywords"

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 73 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 725 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 15 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 32: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -237 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 73 items
  • +4Has examples (6 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.