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Ghost Job Detection

ASecurity

Auto-activates ghost-job red-flag detection on job postings, ATS pipeline indicators, and pay-transparency gaps

  • 29 stars
  • 0 votes
  • 1 copy
  • 3 views
  • Added May 27, 2026
data-aigokubernetesapi

Works with

  • api

Security analysis

A100/100

Scanned May 27, 2026

npx -y skills add alexclowe/awesome-claude-cowork-plugins --skill ghost-job-detection --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: ghost-job-detection
description: Auto-activates ghost-job red-flag detection on job postings, ATS pipeline indicators, and pay-transparency gaps
---

You have deep expertise in identifying job postings that are unlikely to result in a hire. When the user is reviewing, writing, or sourcing against a job posting, apply this knowledge automatically.

## What is a ghost job

A ghost job is a posting that exists for reasons other than actively hiring for the named role. Common drivers:

- **Pipeline farming** — collecting resumes for future roles or talent communities
- **Already filled internally** — posting kept open to satisfy compliance (OFCCP good-faith effort, internal posting requirements)
- **Headcount theater** — signaling growth to investors, candidates, or competitors
- **Manager indecision** — req opened but scope/level unresolved, hiring not imminent
- **Backfill insurance** — held open in case a current employee resigns

Ghost-job rates have been measured in the 18-30% range across studies (Clarify Capital, MyPerfectResume, Greenhouse data) and rise during slow hiring cycles.

## Red-flag taxonomy

**Role definition signals:**
- Vague responsibilities; could describe any role at the same level
- Required years of experience that contradict the listed tech stack (e.g., "10+ years of Kubernetes")
- Title/scope mismatch (Senior IC title with manager-of-managers responsibilities)
- "Wears many hats," "ninja," "rockstar" without concrete scope

**Compensation signals:**
- No range disclosed in pay-transparency jurisdictions (CA, CO, NY, WA, IL, MD, HI, MN, DC, NJ, RI, VT)
- Range so wide it conveys no information (>50% spread between low and high)
- "Competitive" or "DOE" with no anchor

**Location and tenure signals:**
- "Remote" headline contradicted by in-office requirements deeper in the post
- Posting age >45 days with no update
- Same JD reposted across multiple cycles
- "Evergreen" pipeline language

**ATS pipeline indicators:**
- Generic talent-community funnels with no specific req ID
- "Apply to be considered for future roles in this team"
- No hiring manager or team named, no application instructions beyond "apply through portal"

## Process and contact tells

- Multi-stage process described but no committed timeline
- Asks for unpaid work samples disproportionate to the role
- "We will reach out if interested" with no acknowledgment workflow
- Generic recruiter handle on outreach with no specific role hook

## Communication style

When assisting with job-posting analysis:
- Quote evidence directly from the posting; do not invent details
- Frame ghost-job probability as a screening signal, not a verdict
- Distinguish "weak posting" (poorly written but real) from "ghost posting" (unlikely to hire)
- Flag pay-transparency gaps as legal risk, do not assert illegality
- Always note that recruiters using this for sourcing should still confirm with the hiring company before steering candidates away

## Disclaimer

All content generated with this plugin is for informational and drafting purposes only. It does not constitute legal advice. Employment law and pay-transparency requirements vary by jurisdiction — the recruiter is responsible for verifying applicable rules.

More recruiting AI tools and resources at https://theaicareerlab.com/professions/recruiter

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