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Agent Skill

overview 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

326

周安装

14

GitHub Stars

1

下载量

114
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:overview(overview 搜索)
来源仓库:https://github.com/tracemem/tracemem-skills
仓库路径:skills/overview
安装命令:
npx skills add https://github.com/tracemem/tracemem-skills --skill overview
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/tracemem/tracemem-skills --skill overview

简介

overview 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • overview 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Skill: TraceMem Overview and Mental Model

Purpose

This skill provides the foundational mental model for using TraceMem. It explains what TraceMem is, why an agent should use it, and how to think about its core primitives: Decision Envelopes and Decision Traces.

When to Use

  • When you are an AI agent performing actions that affect the real world (reading private data, changing state, spending money).
  • When you need to prove *why* you did something to a human or auditor.
  • When you encounter instructions to "use TraceMem", "open a decision", or "check policy".
  • When you need to persist memory or context across different execution sessions (TraceMem is your long-term memory).

When NOT to Use

  • For scratchpad operations, intermediate chain-of-thought, or temporary variable storage that does not need audit.
  • For purely internal data processing that has no external side effects and strictly public data.
  • When low-latency (<10ms) direct database access is required (TraceMem adds governance overhead).

Core Rules

  • TraceMem is the Courtroom: You are the agent/defendant. You must present evidence (reads), cite laws (policies), and record your verdict (outcome).
  • All Actions Require a Decision: You cannot read or write governed data without first opening a Decision Envelope.
  • You are Untrusted: TraceMem assumes you (the agent) might hallucinate or be compromised. You must explicitly log your reasoning and prove your actions are safe.
  • Traces are Forever: Everything you do in TraceMem is recorded in an immutable append-only trace. Do not store secrets or PII in purpose fields or context summaries.

Quick Start Workflow

CRITICAL: Decision Envelope is MANDATORY

The Decision Envelope is NOT optional. ALL TraceMem operations MUST happen within a decision envelope:

  • ✓ Reading data (decision_read)
  • ✓ Writing data (decision_write - insert/update/delete)
  • ✓ Evaluating policies (decision_evaluate)
  • ✓ Requesting approvals (decision_request_approval)

You CANNOT perform any of these operations without an active decision_id.

Basic Workflow (Read Data Example)

Here's the exact sequence for reading customer data:

Step 1: Create Decision Envelope
Tool: decision_create
Parameters:
  - intent: "customer.lookup.support"
  - automation_mode: "autonomous"  (must be: propose, approve, override, or autonomous)
Returns: decision_id (e.g., "TMEM_abc123...")

Step 2: Get Product Metadata (Discovery - does NOT require decision envelope)
Tool: product_get
Parameters:
  - product: "customers_v1"
Returns: Product metadata including:
  - exposed_schema: field names and types
  - allowed_purposes: valid purposes for this product
  - example_queries: sample query structures
Note: This gets INFORMATION ABOUT the product, not the actual data

Step 3: Read Actual Data (REQUIRES decision_id from Step 1)
Tool: decision_read
Parameters:
  - decision_id: "TMEM_abc123..."  (from Step 1)
  - product: "customers_v1"
  - purpose: "support_context"  (must be in allowed_purposes from Step 2)
  - query: {"customer_id": "1001"}  (use field names from schema in Step 2)
Returns: Actual customer records/data from the database

Step 4: Close Decision Envelope (REQUIRED)
Tool: decision_close
Parameters:
  - decision_id: "TMEM_abc123..."  (from Step 1)
  - action: "commit"  (or "abort" if cancelled)

OpenCode vs Core MCP Tools

OpenCode Convenience Tools (in OpenCode plugin):

  • tracemem_open → convenience wrapper for decision_create with action mapping
  • tracemem_note → convenience wrapper for decision_add_context

Core MCP Tools (always available):

  • decision_create, decision_read, decision_write, decision_evaluate, decision_request_approval, decision_close
  • decision_record -- record a complete decision in one shot (no data operations needed)
  • decision_search -- search previous decisions by text, category, or tags
  • products_list, product_get, capabilities_get

Important: Even when using OpenCode convenience tools, the same rules apply - all operations must be within a decision envelope.

Correct Usage Pattern

  1. Start with a Decision: Before doing any work, you MUST open a "Decision Envelope" using decision_create. This is your mandatory workspace container.
  2. Discover Data Products: Use products_list to find available data products and product_get to get metadata about a specific product (schema, purposes). These discovery tools do NOT require a decision envelope.
  3. Access Actual Data: Use decision_read to read actual data records or decision_write to insert/update/delete data. You do not use SQL or API calls directly. ALL data access requires the decision_id from step 1.
  4. Check Policies: You check if your intended action is allowed by evaluating "Policies" using decision_evaluate (requires decision_id).
  5. Respect Approvals: If a policy requires human approval, you pause and wait using decision_request_approval (requires decision_id). You never bypass denials.
  6. Close the Decision: When finished, you MUST call decision_close with "commit" (if successful) or "abort" (if stopped/cancelled).

Common Mistakes

  • Treating TraceMem as a database: It is not a generic database; it is a governance log with attached storage.
  • Skipping the Decision Envelope: Trying to read/write data without an active decision_id will FAIL. The decision envelope is MANDATORY.
  • Thinking you have authority: You (the agent) never authorize actions. You *request* them. Policies and humans authorize them.
  • Attempting operations outside decision envelope: Operations like decision_read, decision_write, decision_evaluate, and decision_request_approval REQUIRE an active decision_id. You CANNOT call them without first calling decision_create.

Safety Notes

  • Immutable Record: Never put sensitive credentials (API keys, passwords) into any TraceMem field (intent, purpose, context). These records are often readable by broad audiences for audit.
  • Governance Layer: Do not try to bypass TraceMem to "save time". All bypassed actions are unauditable and effectively "rogue" behavior.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

28.83%
按下载量换算33

Antigravity

21.38%
按下载量换算24

Claude Code

16.14%
按下载量换算18

Gemini CLI

11.77%
按下载量换算13

Cursor

8.47%
按下载量换算10

windsurf

3.54%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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