AD civil-service-exam-prep
国家公务员考试（国考）和地方公务员考试（省考）全流程备考指导技能。覆盖考试概述、行测五大模块（言语理解/数量关系/判断推理/资料分析/常识判断）策略、申论五大题型（归纳概括/综合分析/提出对策/贯彻执行/文章写作）方法论、复习计划制定（三段式+不同起点方案）、时政热点追踪、真题解析技巧、结构化面试模拟训练（6大题型框架+评分维度+礼仪+高频真题）。生成交互式HTML可视化备考报告。触发词：公务员考试, 国考, 省考, 行测, 申论, 公务员备考, 公考, 考公, 复习计划, 公务员面试, 结构化面试, 时政热点, 真题解析, 行测技巧, 申论写作, 公务员报考, civil service exam, 公考备考。
国家公务员考试（国考）和地方公务员考试（省考）全流程备考指导技能。覆盖考试概述、行测五大模块（言语理解/数量关系/判断推理/资料分析/常识判断）策略、申论五大题型（归纳概括/综合分析/提出对策/贯彻执行/文章写作）方法论、复习计划制定（三段式+不同起点方案）、时政热点追踪、真题解析技巧、结构化面试模拟训练（6大题型框…
As a process D 46/100 · 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.
- 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: 9. 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 "agent_created"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 57 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 909 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
- +1No license
- +2Single-language instructions
- +3Description length 310: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 57 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.