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oracleOracle 数据库

Agent Skill

oracle 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

2,064

周安装

86

GitHub Stars

4

下载量

688
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:oracle(Oracle 数据库)
来源仓库:https://github.com/trancong12102/agentskills
仓库路径:skills/oracle
安装命令:
npx skills add https://github.com/trancong12102/agentskills --skill oracle
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/trancong12102/agentskills --skill oracle

简介

oracle 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配和来源线索筛选等研究检索场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 文档进一步验证具体用法和功能边界。

SKILL.md

Oracle

Delegate deep analysis to Codex CLI — launch it with a clear question, wait for it to finish, then present the results. Codex runs in a read-only sandbox with full codebase access, so it gathers its own context.

Prerequisites

  • Codex CLI (required): Install with npm i -g @openai/codex, authenticate with codex login

If Codex CLI is not installed, stop and tell the user to install it.

Workflow

Do not read script source code. Run scripts directly and use --help for usage.

Step 1: Formulate Question

Codex CLI has full read access to the codebase and can explore files, grep code, and web search on its own. Your job is to craft a clear, specific question — not to gather context for it.

  1. Understand the user's question and what they need analyzed.
  2. Formulate a clear, specific question that captures the user's intent — include relevant file paths, function names, or architectural areas to point Codex in the right direction.
  3. Optionally use --context-file for truly external context that Codex cannot access on its own (e.g., user-provided files outside the repo, paste content).

Step 2: Run Codex

Scripts are in scripts/ relative to this skill's directory. Run <script> --help for full usage.

Launch scripts/codex-oracle.py as a background Bash task (run_in_background: true). Codex CLI may take up to 30 minutes.

# New session
python3 scripts/codex-oracle.py --question "..." [--context-file path] [--focus text] [--dry-run]

# Resume a previous session for follow-up
python3 scripts/codex-oracle.py --session-id <id> --question "follow-up question..." [--context-file path] [--focus text]

After launching the background task, end your response immediately and wait. Do not poll, read output files, or check process status. You will be notified automatically when Codex completes.

Step 3: Review Response

  1. Read the Codex output from the background task completion notification.
  2. Capture the oracle-session-id from the last line — store it internally for follow-ups.
  3. Review the response yourself. Decide whether it fully answers the user's question or needs clarification/deeper analysis.

Step 4: Follow-up Loop (if needed)

If the Codex response is incomplete, ambiguous, or you need it to drill deeper — send follow-ups before presenting anything to the user. Repeat as many times as needed.

  1. Use the stored oracle-session-id with --session-id to resume the session. Codex retains the full conversation history.
  2. Only send the new follow-up question — do not repeat prior questions or the system prompt.
  3. Launch as a background task, wait for completion, and review the new response.
  4. Loop back to decide: sufficient, or another follow-up needed?

The session accumulates context with each round, making subsequent answers more informed. Start a new session (Step 1) only when the topic changes entirely.

Step 5: Present Results

Once you have a complete, clear answer from the oracle (after one or more rounds):

  1. Synthesize all Codex responses into a single coherent answer for the user.
  2. Use your own judgment on formatting and what to highlight — you do not need to echo every detail from every round.

Rules

  • Codex is the analyst — your role is to formulate, launch, and present. Do not start your own parallel analysis while Codex runs.
  • Organize findings by theme, not severity. Group related insights together. Structure adapts to question type (architecture → components/trade-offs, bug → root cause hypotheses, security → threat model, etc.).
  • Read background-task output via the Read tool on the output-file path from the completion notification. TaskOutput cannot find background Bash task IDs and will fail.
  • Always use the wrapper script for Codex. The script sets the correct model and read-only mode; calling codex CLI directly bypasses these.

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

Claude Code

27.53%
按下载量换算189

Antigravity

22.88%
按下载量换算157

OpenCode

17.26%
按下载量换算119

Gemini CLI

12.17%
按下载量换算84

windsurf

8.68%
按下载量换算60

Codex

3.72%
按下载量换算26

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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