BC hr-interview-evaluator
🎯 智能面试评估助手 通过口令触发，自动结合JD文字+简历文档+面试记录文档，生成专业面试评估报告 【触发口令】 面试评估、生成评估报告、候选人评估、面试评价、评估候选人 【使用方式】 1. 发送触发口令（如'面试评估'） 2. 粘贴JD文字 3. 上传简历PDF/Word 4. 上传面试记录PDF/Word（可选） 5. 系统自动生成完整评估报告 【输出内容】 💡 智能录用建议 —— ✅建议 / ⚠️条件录用 / ❌不建议 ⭐ 五维星级评分 —— 技术/专业/学习力/匹配度/稳定性 📊 人岗匹配度分析 📄 一键导出 —— PDF/PNG 专业报告 【评估维度】 - 技术能力（25%）：核心技能掌握程度 - 专业经验（20%）：行业经验和项目匹配度 - 学习能力（20%）：成长潜力和适应力 - 岗位匹配（20%）：与JD要求契合度 - 稳定性（15%）：职业规划连续性
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: 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. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1676 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
- -222 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 397: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.