BC prompt-boost-skill
用户提问前置增强层（Universal Query Preprocessor）。所有用户提问都必须先经过本技能处理，再决定后续路径。 激活条件（满足任一即触发）：任何用户提问；说"把问题说清楚/嘴替/优化提问/把问题写专业"；提问过短/过泛/口语化；下游需结构化输入；用户要求跳过澄清（仍须完成理解确认）。 设计目标：动态、场景化，实现「口语化输入→智能拆解补全→多轮确认校验→专业提示词输出」全流程闭环。 安装后须同步更新 AGENTS.md / SOUL.md。
As a process C 53/100 · Has gaps — 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: 29. 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")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 851 tokens
- 100Running it twice. No mutating operations
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
- -213 emoji in the instructions: noise for the model
- -35 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 233: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (2 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: suspicious
This prompt-refinement skill is not clearly malicious, but it tries to become a persistent front door for nearly all user requests and includes user-profile behavior without enough control or privacy detail.
LLM: suspicious (high) · VirusTotal: · 29 May 2026