用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/majiayu000/claude-skill-registry --skill agent-native命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
LLM token logprobs and calibration. Per-decision confidence, ECE, Brier, reliability diagrams, low-confidence triage.
Analyze LLM token logprobs and calibration. Use for per-decision confidence, ECE, Brier scores, reliability diagrams, and low-confidence triage.
回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据,按主题分组汇总"我都做了什么",并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。
基于 SOC 职业分类
正在显示 SKILL.md
| name | agent-native |
| description | Make an out-of-session agent AgentOps-native via skills + ao CLI + CI, not hooks. |
Quick Ref: Run a Claude/Codex loop outside an interactive session (Managed Agent, Agent SDK, or self-hosted sandbox) under the same AgentOps guardrails — hooklessly. Guardrails = skills + the
aoCLI + CI, never ported hooks. Bundle skills into the agent definition, exposeaoas a callable tool so the loop self-bootstraps + self-validates, and gate the output through the SAME CI as interactive work.
Codex (gpt-5.3-codex) has NO Managed Agents API, NO Workflow tool, NO Task subagent. It orchestrates via NTM (tmux pane swarms + agent-mail) + skills + the ao CLI + ssh to bushido. So an out-of-session Codex loop becomes AgentOps-native the same way: load the AgentOps skills, call ao session bootstrap / ao inject / ao validate directly (no MCP needed — Codex shells out), and gate outputs through CI (agent-output-validate.yml). ao does not wrap gc; a whole loop needing a mayor/refinery still routes through gc.
Load and follow the skill instructions from the sibling SKILL.md — OR read skills/agent-native/SKILL.md in the host repo for the canonical specification. Honor the Critical Constraints: this is a reframe of "port hooks", NOT a hook revival; no skill fork (load the same skills/ files); Managed Agents are NOT ZDR (no holdout/PII in the agent definition); CI is the enforcement boundary, not the optional in-loop adapter.