whaojie797-design/career-fit-cn

whaojie797-design★ 0Python最后同步: 2026-07-30

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China-aware candidate<->role fit scoring for agents. (assess a profile against a role; five weighted dimensions + China-specific red flags like age_35 / 996 / non_compete.)

README 摘要

career-fit-cn China-aware candidate ↔ role fit scoring — for agents. 中国职场适配度评估:把中国职场特有的制度性因素(35 岁门槛、996/大小周、竞业协议、城市/落户、薪资现实度)量化进「候选人 ↔ 岗位」的适配度评分,并明确标注红线。 Before / After Before — An agent judging a JD only looks at skill overlap, ignores institutional risk, and gives over-optimistic advice that falls apart on the ground (age ceilings, 996, non-compete). After — A fit report with China-specific landmines flagged: total score + five dimension breakdowns + red-flag warnings + next-step suggestions for the agent. What it does - assess — score a candidate profile against a role , output a structured fit report ( FIT REPORT.md + fit-state.json , machine-readable for agents). - report — re-render the last report from the store. - Five weighted dimensions: skill (0.35) · experience (0.20) · location (0.15) · compensation (0.15) · redflag (0.15). - China-specific red flags: age 35 (candidate age ≥ 35 → heavy penalty), 996 / size week (candidate declines → penalty), non compete (candidate declines → caution penalty). Any triggered flag marks the report HIGH RISK . - Zero third-party dependencies — pure standard library; a tiny YAML-subset parser (or JSON) is included. No pip install . Install…

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