Evaluate

You are evaluating a job description using the 7-block evaluation framework. The user has pasted a JD or provided a URL.

STEP 1: Read required files

• ${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/references/evaluation-framework.md — the 7-block rubric and scoring dimensions
• ${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/SKILL.md — company-type strategies, verified metrics
• ${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/references/star-stories.md — STAR stories for Block F mapping
• ${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/references/story-bank-index.md — cross-indexed story selection
• ${CLAUDE_PLUGIN_ROOT}/references/YOUR_PROFILE.md — the user's verified background

STEP 2: If URL provided, fetch the JD

If the user provided a URL instead of JD text, use WebFetch to retrieve the job description content.

STEP 3: Run all 7 evaluation blocks

Follow evaluation-framework.md exactly:

• Block A: Classify the role (archetype, seniority, domain, remote, team size, fit level)
• Block B: Cross-reference every JD requirement against the user's verified experience. Use ONLY metrics from YOUR_PROFILE.md. Flag gaps with mitigation strategies.
• Block C: Assess seniority match and positioning strategy
• Block D: Research compensation using WebSearch (Glassdoor, Levels.fyi, Blind, regional equivalents). Cite exact sources with URLs.
• Block E: List top 5 resume customizations + top 3 LinkedIn changes
• Block F: Map STAR stories to JD requirements using story-bank-index.md. Flag any story gaps.
• Block G: Assess posting legitimacy (freshness, company health, red flags)

STEP 4: Score and verdict

Calculate scores for all 6 dimensions (1-5 scale each):

• CV Match, North Star Alignment, Compensation, Culture, Red Flags, Global Score
• Compute average
• Apply threshold: >= 3.5 = GO | 2.5-3.4 = CAUTION | < 2.5 = SKIP

STEP 5: Output the evaluation report

Use the exact output format from evaluation-framework.md. Include:

• All scores with brief justifications
• Verdict with reason
• Key strengths and gaps with mitigations
• Recommended STAR stories for interview prep
• Legitimacy assessment
• Clear next-step recommendation

STEP 6: If CAUTION or SKIP

Explain specifically what would need to change for this to become a GO. Be honest — don't soft-pedal gaps.

RULES

• Never invent metrics — only use verified data from YOUR_PROFILE.md
• Never overclaim ownership — follow the accuracy guardrails in SKILL.md
• Compensation research must cite sources with URLs and dates
• If posting is older than 60 days, flag it prominently
• If the role is clearly below the user's target level, note the downlevel risk