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 tracing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
| description | Imported skill tracing from langchain |
| name | tracing |
| signature | 55e225e09d09984dee0fceb0daed0fd9527dfbefdf49a6ee22903b3beb4cb0c6 |
| source | /a0/tmp/skills_research/langchain/libs/harbor/deepagents_harbor/tracing.py |
"""LangSmith integration for Harbor DeepAgents."""
import hashlib import uuid
def create_example_id_from_instruction(instruction: str, seed: int = 42) -> str: """Create a deterministic UUID from an instruction string.
Normalizes the instruction by stripping whitespace and creating a
SHA-256 hash, then converting to a UUID for LangSmith compatibility.
Args:
instruction: The task instruction string to hash
seed: Integer seed to avoid collisions with existing examples
Returns:
A UUID string generated from the hash of the normalized instruction
"""
# Normalize the instruction: strip leading/trailing whitespace
normalized = instruction.strip()
# Prepend seed as bytes to the instruction for hashing
seeded_data = seed.to_bytes(8, byteorder="big") + normalized.encode("utf-8")
# Create SHA-256 hash of the seeded instruction
hash_bytes = hashlib.sha256(seeded_data).digest()
# Use first 16 bytes to create a UUID
example_uuid = uuid.UUID(bytes=hash_bytes[:16])
return str(example_uuid)