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BC pecmd-pro-max

PECMD2012 WinPE 脚本编程 — 轻量级 Windows GUI、系统工具、启动/初始化 脚本、自动化。适用于 .wcs/.wci/.wce 文件、磁盘分区、批处理转 PECMD、 系统信息收集、PE/预安装环境工具、PECMD 代码调试。 参考文件：references/commands-full.md、references/pecmd-gui.md、references/pe-startup.md、 references/how-tos/storage.md、references/how-tos/system.md、references/how-tos/gui.md、references/how-tos/net.md、 references/troubleshooting.md。

ClawHub Agent Skills author: VirtualHotBar v1.7.1 MIT-0 12 files body ≈ 5 661 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
C
54/100
Has gaps
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 0

✓ No critical or high findings

Files scanned: 12. 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 body-long SKILL.md body ≈ 5661 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 54/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 5661 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 71 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 352: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 71 items
  • +4Has examples (22 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

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

External checks

ClawHub: clean
This is a documentation-only PECMD/WinPE scripting skill with powerful admin examples, but its behavior is disclosed and aligned with its purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026