aetherlang-karpathy-skillAPI connector for AetherLang Omega — execute 10 Karpathy-inspired agent node types (plan, code_interpreter, critique, router, ensemble, memory, tool, loop, t...
Install via ClawdBot CLI:
clawdbot install contrario/aetherlang-karpathy-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.neurodoc.app/aetherlang/executeCalls external URL not in known-safe list
https://clawhub.ai/contrarioAI Analysis
The skill's external API call is explicitly documented and serves its stated purpose of executing agent nodes. While data is sent to an external server, the skill emphasizes data minimization and prohibits sending credentials, PII, or local files without consent. No hidden instructions, credential harvesting, or obfuscation were found.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Use the tool node to fetch live cryptocurrency prices from public APIs like CoinGecko, then apply the transform node for summarization and the critique node for quality validation. This enables real-time data processing without local execution, ideal for generating market insights.
Leverage the ensemble node with personas like a French chef and Greek grandmother to generate diverse content, followed by the loop node to iterate over different themes. This automates creative writing tasks while ensuring varied perspectives and batch processing.
Utilize the code_interpreter node for accurate mathematical calculations in a sandboxed environment, combined with the plan node to break down complex problems into steps. This supports tutoring or homework assistance by providing reliable, step-by-step solutions.
Implement the router node to intelligently branch queries to appropriate responses, using the memory node to store user preferences across sessions. This enhances support workflows by personalizing interactions and optimizing response paths.
Employ the parallel node to concurrently fetch data from multiple public APIs, then use the transform node to reshape and summarize the results. This accelerates data collection for reports or dashboards without manual integration efforts.
Offer tiered subscriptions for access to the AetherLang API, with pricing based on usage volume or node types. This model generates recurring revenue by providing scalable AI agent orchestration to developers and businesses.
Provide consulting services to design and implement custom agent workflows using the skill's node types. Charge for setup, integration, and ongoing optimization, targeting enterprises needing tailored AI solutions.
License the skill and API infrastructure to other companies for embedding into their own products. This generates revenue through licensing fees while enabling partners to offer AI agent capabilities under their brand.
💬 Integration Tip
Always adhere to data minimization by sending only query and flow code to the API, avoiding system prompts or credentials to ensure security and compliance.
Scored Apr 19, 2026
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