BC mock-interview
扮演面试官陪求职者做模拟面试练习。当用户说"帮我模拟面试""陪我练面试""模拟一下 XX 岗位的面试""给我出几道面试题练练""我想练习面试回答"，或提供了目标岗位和自己的经历希望进行问答演练时触发。本技能基于用户提供的岗位和经历做结构化追问（每轮一个问题、连续多轮），练习结束后给出复盘评分与改进建议。即使用户没明说"模拟面试"，只要意图是练习面试问答，也应使用本技能。
扮演面试官陪求职者做模拟面试练习。当用户说"帮我模拟面试""陪我练面试""模拟一下 XX…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
Proceduretype and topics are labelled automatically from the skill text
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: 2. 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. 61 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 946 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 186: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 61 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This is a conversational mock-interview skill with no code execution or hidden system access; the main caution is that users may share personal career details.
LLM: benign (high) · VirusTotal: · 27 Jun 2026