Install
$ agentstack add skill-aksheyw-career-command-center-template-evaluate ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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.
- Author: aksheyw
- Source: aksheyw/career-command-center-template
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.