goal
Durable goals for Claude Code and Codex.
Project-scoped /goal state, audit-gated completion, statusline visibility, MCP tools, and Claude Code ↔ Codex relay for long-running coding tasks.
github.com/pyyush/goalI build open-source products for agentic AI reliability: browser control, deterministic replay, runtime contracts, and skill-quality tooling. Code lives on github.com/pyyush, plus browseragentprotocol and skill-tools. Earlier work focused on speech and multimodal ML.
Durable goals for Claude Code and Codex.
Project-scoped /goal state, audit-gated completion, statusline visibility, MCP tools, and Claude Code ↔ Codex relay for long-running coding tasks.
github.com/pyyush/goalToolchain for the Agent Skills ecosystem.
Lint, score, and route SKILL.md files. Parse, validate, and quality-score Agent Skills per the agentskills.io spec. BM25 routing, zero LLM dependencies.
github.com/skill-tools/skill-toolsOpen protocol for AI agents to control web browsers.
TypeScript and Python SDKs with native MCP integration. Semantic selectors built on the accessibility tree.
github.com/browseragentprotocol/bapDeterministic Browser Agent Runtime.
Replayable, verifiable browser executions via CDP virtual time, network record/replay, and portable determinism capsules.
github.com/pyyush/dbarUniversal Semantic Element ID.
Stable cross-run element identity for browser agents. Fuses ARIA semantics and DOM structure into signatures that survive UI churn.
github.com/pyyush/useidYAML spec and Python SDK for production agent reliability.
Cost control, tool-use security, and audit trails enforced at the runtime boundary instead of trusted to the prompt.
github.com/pyyush/agentcontractsBridge between AI coding agents and Slack.
Wire Claude Code, Codex CLI, and other agents into a Slack channel. Simple webhooks, zero config.
github.com/pyyush/agent-pagerData augmentation for automatic speech recognition.
PyTorch implementation of SpecAugment, a simple data augmentation method for ASR.
github.com/pyyush/SpecAugmentCluster-GCN for large graph training.
PyTorch implementation of Cluster-GCN, an efficient algorithm for training deep and large graph convolutional networks.
github.com/pyyush/GraphMLEnd-to-end text-independent speaker verification.
Identify speakers from short audio clips without depending on what they're saying.
github.com/pyyush/VoiceIDSpeech translation API powered by Whisper and GPT.
Combines OpenAI Whisper and GPT-3.5 to deliver accurate, fluent translations from spoken audio.
github.com/pyyush/WhisperingGPT