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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

186

周安装

8

GitHub Stars

3

下载量

65
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/ccc
仓库路径:skills/oracle
安装命令:
npx skills add https://github.com/trancong12102/ccc --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/ccc --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 - Second Opinion Model

Invokes OpenAI's GPT-5.2 extra high reasoning model via CLI for complex analysis tasks. It excels at debugging, code review, architecture analysis, and finding better solutions.

Prerequisite: Codex CLI installed and authenticated (codex login).

Trade-offs: Slower and more expensive than the main agent, but significantly better at complex reasoning. Use deliberately, not for every task.

Invocation

Use codex exec --profile oracle to run the reasoning model:

codex exec --profile oracle "Review @src/auth/jwt.ts for security vulnerabilities"

Examples

# Security review
codex exec --profile oracle "Review @src/auth/jwt.ts for security vulnerabilities. Provide specific fixes."

# Debugging
codex exec --profile oracle "Find why memory leak in @src/DataFetcher.tsx. Component doesn't clean up on unmount."

# Architecture analysis
codex exec --profile oracle "Analyze how @src/services/payment.ts and @src/services/order.ts interact. Propose refactoring plan."

# Complex bug investigation
codex exec --profile oracle "Bug: Users see stale data after updates. Check @src/cache/invalidation.ts for race conditions."

Prompting for Reasoning Models

Reasoning models work differently from completion models. Follow these guidelines:

Keep prompts simple and direct:

  • State the goal clearly without excessive context
  • Let the model explore and discover relevant information
  • Avoid step-by-step instructions - the model reasons on its own

Focus on WHAT, not HOW:

  • Bad: "First read the file, then analyze each function, then check for..."
  • Good: "Review this code for security vulnerabilities"

Use @ syntax for file references:

  • Include relevant files directly: @src/auth/login.ts
  • The model will read and understand the code

Be specific about expected output:

  • "Provide specific fixes" > "Is this correct?"
  • "List all race conditions" > "Are there any bugs?"

Example Prompts

Security Review

Review @src/auth/jwt.ts for security vulnerabilities.
Provide specific fixes for any issues found.

Debugging

Find why the memory leak occurs in @src/components/DataFetcher.tsx.
The component fetches data but doesn't clean up on unmount.

Architecture Analysis

Analyze how @src/services/payment.ts and @src/services/order.ts interact.
Propose a refactoring plan that maintains backward compatibility.

Complex Bug Investigation

Bug: Users intermittently see stale data after updates.
Related files: @src/api/update.ts @src/cache/invalidation.ts @src/hooks/useData.ts

Identify race conditions or cache invalidation issues and provide a fix.

Workflow

Think step-by-step:

  1. Gather context first: Identify relevant files and the specific problem
  2. Formulate a focused prompt: Include file references with @, state the goal directly
  3. Invoke the oracle: Run codex exec --profile oracle "prompt"
  4. Continue if needed: Use codex exec resume SESSION_ID "follow-up" to refine analysis
  5. Act on the analysis: Implement recommendations from the oracle's response

Continuing Conversations

Use codex exec resume SESSION_ID to continue until satisfied. The session ID is returned from the initial invocation.

# Initial analysis (returns session ID)
codex exec --profile oracle "Review @src/auth/jwt.ts for security vulnerabilities"
# Output includes: Session ID: abc123...

# Continue with follow-up questions using the session ID
codex exec resume abc123 "Also check for timing attacks in the token validation"

# Keep refining with the same session
codex exec resume abc123 "What about the refresh token rotation logic?"
ArgumentDescription
SESSION_IDSession ID returned from the initial invocation
PROMPTFollow-up instruction to send after resuming

Rules

  • Use the oracle for complex problems that require deep reasoning
  • Keep prompts focused - one problem per invocation
  • Include file references with @ syntax for relevant code
  • Request specific, actionable output
  • Chain with main agent: oracle for analysis, main agent for implementation
  • Oracle is read-only; use the main agent to implement changes

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

Antigravity

26.9%
按下载量换算17

Claude Code

24.6%
按下载量换算16

windsurf

17.68%
按下载量换算11

trae

12.82%
按下载量换算8

OpenCode

7.95%
按下载量换算5

Codex

3.14%
按下载量换算2

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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