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Evaluate

skill-aksheyw-career-command-center-template-evaluate · by aksheyw

Evaluate a JD before applying — 7-block assessment with go/no-go score. Argument: [paste JD text or URL here]

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Install

$ agentstack add skill-aksheyw-career-command-center-template-evaluate

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.