GiaSip
UserEvidence-grounded research agent for Claude Code & Codex: every claim gets a confidence rating + source-family tag, and adversarial gates block unsupported claims before they reach your report. Ships with a multi-model dispatcher.
Categories
Indexed Skills (3)
giasip-dispatch
“Multi-model dispatcher -- sends a task or prompt to other AI models (Codex / Gemini / Kimi / DeepSeek / Doubao / Qwen / GLM / MiniMax) and retrieves results. Triggers when you want to run a task on a specific model, need multi-model cross-validation, or want to use a cheaper model.”
research
Use when the user asks to research, investigate, verify facts with sources, compare competitors, study a market or industry, review literature, prepare an evidence-backed report, decide whether a topic needs external Deep Research, or make an evidence-backed judgment or recommendation. Runs breadth-first Quick Recon, Claim Ledger gating, and an Adjudication Hypothesis Spine when needed. This generated target uses Codex native collaboration and web tools.
giasip-research
Use when the user asks to research, investigate, verify facts with sources, compare competitors, study a market or industry, review literature, prepare an evidence-backed report, decide whether a topic needs external Deep Research, or make an evidence-backed judgment or recommendation. Runs breadth-first Quick Recon, Claim Ledger gating, and an Adjudication Hypothesis Spine when needed. This generated target maps the method onto Claude Code and Codex standalone installs.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.