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已展示 6 / 6 个已收集 Skill。
Task-owning worker policy with deterministic acceptance and evidence-driven escalation (model_proctor) — run substantial work through the gated path (runner.py init/dispatch/verify/accept; flash-first with escalation to glm-5p3 then kimi-k3 on recorded…
原文语言：英语
Use when substantial coding or proctor tasks require runner-governed delegation, or when the user explicitly invokes model-proctor. Do not use for trivial tasks — execute those directly. Requires the model-proctor install.
原文语言：英语
Multi-model routing policy for Kimi K3 — delegate coding subtasks to fast/cheap models (k2p7 scout, DeepSeek V4 flash/pro, GLM-5.2) via the delegate wrapper and native GLM subagents, with read-only Codex/Claude advisors. Use ONLY for nontrivial coding tasks…
原文语言：英语
Full multi-model routing policy — delegation to fast/cheap models via the delegate wrapper plus native GLM subagents (eval config C). Use ONLY for nontrivial coding tasks (unfamiliar codebases, multi-file changes, debugging, migrations, security-sensitive…
原文语言：英语
ds-pro-start routing policy — DeepSeek V4 Pro is the default worker and you adjudicate (eval config D). Use ONLY for nontrivial coding tasks. Do NOT use for trivial tasks (known location, small patch, one edit-test cycle) — execute those directly.
原文语言：英语
Routing policy for delegating coding work to native GLM secondary subagents only (eval config B). Use ONLY for nontrivial coding tasks (unfamiliar codebases, multi-file changes, debugging). Do NOT use for trivial tasks (known location, small patch, one…
原文语言：英语
复制这段 Prompt，发给你正在使用的 AI 助手。
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/dachent/model_proctor.暂时无法加载仓库 README。你仍可浏览下方的 Skill 目录。