AC jobhound
求职陪跑全流程助手——覆盖简历解析、岗位发现与评估、定制简历生成、 面试全阶段准备（自我介绍/JD拆解、岗位背景调研、面试押题、模拟面试、 笔试准备）、面试复盘、Offer评估与薪资谈判、投递跟踪管理。 适用于中国校招/实习市场（牛客网、实习僧、BOSS直聘、拉勾等）， 也适配其他地区。覆盖产品经理、运营、市场、技术、设计等各岗位方向。 当用户提到以下意图时触发：找工作、搜实习、简历匹配、岗位筛选、 面试准备、自我介绍、模拟面试、笔试准备、面试复盘、Offer评估、投递跟踪、 "帮我找工作"、"有哪些实习机会"、"准备面试"、"帮我看下这个offer"。
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.
- 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: 5. 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. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1330 tokens
- 100Running it twice. No mutating operations
- low 12 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
- +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
- +5Description quotes 2 example trigger phrases
- +3Description length 280: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.