AI Displacement Monitor
v1.0.2Monitor early-warning signals of AI-driven white-collar labor displacement and macro-financial spillovers. Use when you need a practical indicator framework,...
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byLi Xin@spyfree
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included indicator definitions and composite rules. The skill is instruction-only and uses the bundled thresholds.example.json for indicator IDs, tiers, triggers and interpretation; it does not request unrelated binaries, credentials, or filesystem access.
Instruction Scope
SKILL.md is narrowly scoped to producing an indicator board, composite risk light, notes and gaps and explicitly references the bundled thresholds file. It does not instruct the agent to read unrelated system files or environment variables. One ambiguity: the instructions assume the agent will obtain values for the indicators from external data sources (job boards, JOLTS, LinkedIn, market data) but do not specify how to fetch them or which credentials to use—this is a benign omission but means data-acquisition behavior depends on the host agent/integration.
Install Mechanism
No install spec and no code files—this is an instruction-only skill. Nothing is written to disk or fetched during installation.
Credentials
The skill requests no environment variables or credentials, which is proportional to an indicator/interpretation framework. However, practical use will typically require access to third-party data (APIs or web scraping). The skill itself does not request those credentials, so the user or host agent must supply them separately; verify any credentials you provide are only given to trusted integrations.
Persistence & Privilege
always is false and the skill does not request persistent system-wide configuration or modify other skills. Autonomous invocation is allowed by default but that is standard and not by itself concerning here.
Assessment
This skill is a coherent, instruction-only framework (no installs or secrets). Before using: (1) confirm how your agent will source indicator data—if it will call external APIs or scrape sites, decide which API keys/credentials you will supply and to which component; (2) review and, if needed, adapt the thresholds.example.json to match your data definitions and coverage; (3) if you plan to automate alerts, test outputs manually first (check timestamps, frequency mismatches, and data gaps as the skill recommends); (4) avoid granting broad platform credentials unless necessary—prefer scoped API keys for specific data feeds; and (5) if the agent implementation scrapes login-protected sites (LinkedIn, job boards), be aware of terms-of-service and privacy implications.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.