happenstanceSearch your professional network and research people using the Happenstance API.
Install via ClawdBot CLI:
clawdbot install dgoss28/happenstanceGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.happenstance.ai/v1/searchCalls external URL not in known-safe list
https://developer.happenstance.aiAI Analysis
The skill's external API calls are explicitly documented and directly serve its stated purpose of searching a professional network. The authentication method uses a user-provided API key for a legitimate service, and there are no hidden instructions, credential harvesting patterns, or obfuscation.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A tech recruiter uses the skill to search their LinkedIn network for engineers with AI infrastructure experience. They start a search with 'engineers who have worked on AI infrastructure', include their connections, and poll for results to identify candidates with relevant traits and mutual connections for outreach.
A venture capital analyst researches key figures like Garry Tan to gather detailed professional profiles. They initiate research with a description including name, title, and social handles, then poll for completion to analyze employment history, projects, and writings for investment due diligence.
A sales professional lists groups to find relevant communities, then searches within selected group IDs for prospects matching a target profile, such as 'CTOs in healthcare'. They use find-more to get additional results beyond the initial 30, checking credits first to manage costs.
An event organizer searches their network for attendees with specific interests, like 'developers interested in open-source projects', to facilitate connections. They include friends' connections to broaden the search, present results with names and summaries, and use the Happenstance profile links for follow-up.
A university researcher uses the skill to find professionals with publications or projects in a niche field, such as 'quantum computing researchers'. They start a search with detailed text, poll for results to identify individuals with writings and projects, and use research to get in-depth profiles for collaboration opportunities.
The skill operates on a pay-per-use model where searches cost 2 credits and research costs 1 credit. Users purchase credits upfront, with usage tracked via the /v1/usage endpoint. This model scales with demand, encouraging efficient use through credit checks before operations.
Targeting recruiting agencies, this model offers unlimited searches and research within a monthly subscription fee. It includes priority support and higher concurrency limits, leveraging the skill's ability to search networks and provide detailed profiles for talent acquisition.
Integrating the skill into CRM systems to automatically enrich contact records with professional data from Happenstance. Each enrichment triggers a research operation, billed per profile or as part of a bundled package, adding value through up-to-date employment and project insights.
💬 Integration Tip
Ensure the HAPPENSTANCE_API_KEY is securely stored as an environment variable and use curl with proper error handling for asynchronous polling, checking credits first to avoid interruptions.
Scored Apr 19, 2026
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