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Agent Skill · 研究检索

overview(overview 搜索)

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。

overview 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 62,819。

总安装 326周安装 14GitHub Stars 1下载 114核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/overview

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/tracemem/tracemem-skills --skill overview;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

overview 怎么安装?

在终端执行 npx skills add https://github.com/tracemem/tracemem-skills --skill overview。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

overview 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

overview 需要什么权限?

权限级别是调用外部服务。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。

overview 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

overview 用的人多吗?

公开数据是累计安装 326 次,近一周安装 14 次,下载 114 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

overview 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
overview

overview 搜索 · 本页

3261调用外部服务MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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

调用外部服务

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。

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