BD omniscient
全知全能技能 — 整合认知套件、执行框架、系统控制三大能力层，并配备编排引擎。 认知层：四种思维操作码（直用/改进/迁移/构建）覆盖所有思考任务； 执行层：大语言模型 + 命令执行工具，自动化代码生成与脚本执行； 操控层：Linux桌面软件、系统硬件、串口设备、物联网平台、图形界面自动化、蓝牙设备、GPU显卡、存储磁盘、电池电源、音频设备、显示器、温度风扇、打印机、摄像头； 编排引擎：将所有操作统一为基元，自由组合为任意复杂度的执行链条。 此技能应用于任何任务，无例外。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "dependency"
Process rating: all ten parameters 39/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (omniscient) differs from the folder (linux-omniscient)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 79 steps
- 100Execution cost. Instruction body is 2802 tokens
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
- -31 of 19 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 237: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 79 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
This skill openly aims to control a Linux desktop and connected devices, but it gives very broad authority with weak or missing safeguards for sensitive actions.
LLM: suspicious (high) · VirusTotal: · 29 May 2026