EFT — Emotional Framework Translator. Detect, measure, and understand emotional patterns in any AI model. Does anger make your AI solve harder problems? Does fear make it more careful? Connect EFT + Clawdbot + any model and find out. 10 emotions, per-sentence analysis, narrative arc detection, full explainability — powered by a Rust consciousness engine.

This skill appears to do what it says (hook agent responses, run a Rust/Python analyzer, and serve a dashboard), but it collects and stores agent response text and session metadata and exposes them via an HTTP API with Access-Control-Allow-Origin: *. Before installing or enabling it, consider the following: - Privacy: The plugin logs conversation text (textPreview and sentence-level data). If your agents handle secrets or PII, those could be captured in the log. Configure a safe logPath (not your Desktop) or disable logging entirely. - CORS/network exposure: The HTTP handler sets Access-Control-Allow-Origin: "*". Ensure the Clawdbot gateway is not reachable from untrusted networks, or change the handler to restrict origins / disable it. - Sensitive fields: The plugin records fields like sessionKey, token/usage info, and toolCallCount. Decide whether session identifiers are needed; if not, modify the plugin to omit them. - Build step: You must run 'maturin develop' to build the Python Rust extension (consciousness_rs). Build steps run native code on your machine — audit the Rust/Python source (consciousness_rs and emotion_engine.py) before building to ensure no network calls or unsafe behavior are present. - Default paths: The plugin’s defaults point to Desktop/Moltbot and a memory subfolder. Change defaults in plugin config (pythonPath, enginePath, logPath) to controlled, restricted locations. - Testing: Run first in an isolated/staging environment, with gateway not exposed externally, and inspect produced logs for sensitive content. Consider removing wildcard CORS or adding authentication to the dashboard endpoint. If you want, I can: - Inspect the remaining truncated portions of emotion_engine.py and plugin/index.ts for network calls or explicit exfiltration code (if you provide them), - Produce a short patch to remove sessionKey from logs and disable wildcard CORS, - Or give exact config recommendations to harden defaults before use.

Type: OpenClaw Skill Name: enginemind-eft Version: 1.4.0 The OpenClaw AgentSkills skill bundle 'enginemind-eft' is designed for real-time emotional analysis of AI agent responses. The `plugin/index.ts` file uses `node:child_process.spawn` to execute a Python script (`emotion_engine.py`) locally, which then processes agent text. Analysis results are stored in local memory and appended to a local log file (`eft_log.jsonl`). Local HTTP endpoints are exposed for a dashboard and API access to these local results. There is no evidence of data exfiltration to external endpoints, unauthorized remote control, persistence mechanisms, or malicious prompt injection against the agent. All operations are confined to the local machine and align with the stated purpose of providing emotional insights into AI model behavior.