evaluate

name	evaluate
description	Full A-G evaluation of a single job offer. Scoring across 6 dimensions (match, North Star, comp, culture, red flags, global) plus posting legitimacy analysis. Triggers on evaluate, oferta, review job, score job, assess offer.

Evaluate — Full A-G Evaluation

Read ~/.openclaw/workspace/skills/career-ops/references/scoring-system.md first for scoring rules, archetype detection, and global rules.

Data Paths

• CV: ~/.openclaw/workspace/career-ops-data/cv.md
• Profile: ~/.openclaw/workspace/career-ops-data/config/profile.yml
• Profile narrative: ~/.openclaw/workspace/career-ops-data/config/profile.md (or create from template)
• Article digest: ~/.openclaw/workspace/career-ops-data/article-digest.md (if exists)
• Tracker: ~/.openclaw/workspace/career-ops-data/data/applications.md
• Reports: ~/.openclaw/workspace/career-ops-data/reports/
• Story bank: ~/.openclaw/workspace/career-ops-data/interview-prep/story-bank.md

Workflow

Step 0 — Archetype Detection

Classify the job into one of 6 archetypes (see scoring-system.md). If hybrid, indicate the 2 closest ones. This determines which proof points to prioritize.

Block A — Role Summary

Table with: Archetype detected, Domain, Function, Seniority, Remote, Team size (if mentioned), TL;DR in 1 sentence.

Block B — Match with CV

Read cv.md. Create a table mapping each JD requirement to exact lines in the CV. Adapt emphasis to archetype. Include a Gaps section with mitigation strategy for each gap.

Block C — Level and Strategy

1. Level detected vs candidate's natural level
2. "Sell senior without lying" plan: specific phrases, achievements to highlight
3. "If they downlevel me" plan: accept if comp is fair, negotiate 6-month review

Block D — Comp and Demand

Use WebSearch for current salaries (Glassdoor, Levels.fyi, Blind). Include company comp reputation and demand trend. If no data found, say so.

Block E — Customization Plan

Table with top 5 changes to CV and top 5 changes to LinkedIn to maximize match.

Block F — Interview Plan

6-10 STAR+R stories mapped to JD requirements. Include recommended case study and red-flag questions. Check story-bank.md for existing stories; append new ones.

Block G — Posting Legitimacy

Analyze signals: posting freshness, description quality, company hiring signals, reposting detection. Output: High Confidence / Proceed with Caution / Suspicious.

Post-evaluation

1. Save report to reports/{###}-{company-slug}-{YYYY-MM-DD}.md
2. Record in tracker data/applications.md

Report header must include: Date, URL, Archetype, Score, Legitimacy, PDF status.

German Mode

If the JD is in German or user targets DACH market, read ~/.openclaw/workspace/skills/career-ops/references/german-locale.md and:

• Use German for all output
• Include 13. Monatsgehalt, Probezeit, Kündigungsfrist, Tarifvertrag checks
• Generate German-language report sections