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Claude Skills by lawrence3699
github.com/lawrence36996 skills1 installs6 views
- Jev Style AdoptFind LLM API calls in a codebase that only return a decision (a category, yes/no, or a 1-5 rating) and move them to the local Jev-Style decision model safely - scan, pick candidates with the user, rewrite each as a typed noul/choice/score question with a confidence cascade back to the LLM, run in shadow mode, measure agreement with jev-style eval, then switch. Use when the user wants to cut LLM cost or latency for classification, routing, moderation, gating or scoring calls, or asks which LLM...Votes: 0GitHub stars: 12
- Jev Style EvalMeasure the Jev-Style local decision model on the user's own labelled examples before relying on it - accuracy, Brier, ECE, how many decisions can be automated at a 1/5/10 % error budget and at which confidence threshold, plus a refitted calibration temperature. Use when the user asks whether the local model is good enough for their task, wants thresholds for automating a classification/routing/gating step, or wants to compare it with the labels an existing LLM or human process produces.Votes: 0GitHub stars: 12
- Jev Style GuardInstall the Jev-Style guard, a Claude Code PreToolUse hook that has a local decision model check every Bash, Write, Edit, Read, WebFetch and MCP tool call for destructive actions, data exfiltration, secrets access and out-of-project paths, and answers allow / ask / deny. Use when the user wants a local safety net or approval gate for Claude Code (or another agent with PreToolUse-style hooks), wants to block rm -rf / force-push / key exfiltration, or wants to tune or measure such a guard.Votes: 0GitHub stars: 12
- Jev Style McpConnect the Jev-Style local decision model to an AI coding agent as an MCP server (tools decide, noul, choice, score, model_info) - Claude Code, Claude Desktop, Cursor, Codex CLI, Windsurf or any MCP client. Use when the user wants their agent to classify, route, gate or score text with a local model through MCP, or asks to add jev-style as an MCP server.Votes: 0GitHub stars: 12
- Jev Style ServeInstall and start the Jev-Style local decision server (systemone-compatible API + Playground at http://127.0.0.1:8765) on macOS, Linux or Windows/WSL, pick the right backend (MLX on Apple silicon, PyTorch CUDA/CPU elsewhere, llama.cpp GGUF optional), verify it answers, and optionally keep it running at login. Use when the user wants to run Jev-Style, set up a local decision model / systemone endpoint, or when another jev-style skill finds no server on :8765.Votes: 0GitHub stars: 12
- Jev StyleCall the local Jev-Style decision model (systemone-compatible API, default http://127.0.0.1:8765) to answer typed questions about text or JSON - yes/no probabilities (noul), one-of-N choices, ordered scores - for routing, classification, gating, triage, guardrails and scoring. Use when writing code that classifies, routes, scores or checks text with a small local model, when replacing an LLM call that only returns a label, or when the user mentions jev-style, /v1/systemone, noul, choice or sc...Votes: 0GitHub stars: 12