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Agent Skill · 研究检索

delphi(delphi 搜索)

delphi 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。

delphi 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,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 47,935。

总安装 710周安装 29GitHub Stars 公开资料未说明下载 227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
unknown

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:delphi(delphi 搜索)
来源仓库:https://github.com/cygnusfear/agent-skills
仓库路径:skills/delphi
安装命令:
npx skills add https://github.com/cygnusfear/agent-skills --skill delphi
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cygnusfear/agent-skills --skill delphi

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。

delphi 通过并行调用多个独立推理单元,探索复杂问题的不同解决路径。适合处理多解问题、架构决策、调试疑难杂症或需要广泛覆盖的研究任务。使用时需遵循反 priming 协议,避免单一视角偏差,确保各单元独立探索。安装前应确认权限范围、维护状态及是否涉及联网、命令执行或文件读写操作。

delphi 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/delphi

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/cygnusfear/agent-skills --skill delphi;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

delphi 怎么安装?

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

delphi 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。

delphi 需要什么权限?

权限级别是只读。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。

delphi 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

delphi 用的人多吗?

公开数据是累计安装 710 次,近一周安装 29 次,下载 227 次。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。

delphi 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
delphi

delphi 搜索 · 本页

710—只读未明确有提醒

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

Delphi - Parallel Oracle Consultation

Delphi launches multiple oracles with identical prompts. Each explores independently, discovering different clues and solutions that a single investigation would miss.

When to Use Delphi

  • Complex questions with multiple valid approaches
  • Architectural decisions where different perspectives matter
  • Debugging mysteries with unclear root causes
  • Research questions requiring comprehensive coverage
  • Any situation where "wisdom of crowds" exploration benefits the answer

CRITICAL: Anti-Priming Protocol (READ THIS FIRST)

The #1 failure mode: biased priming. When you prime oracles with your hypotheses, you just run 5 copies of your own failed thinking. The whole point is INDEPENDENT discovery.

What Makes Delphi Useless

BAD PROMPT (biased, scope-limited, lazy):
"Investigate why the LOG() macro is breaking the build.
I've already tried X, Y, Z and they didn't work.
I think the problem is in the macro expansion.
Look at the changes from the last 30 minutes."

WHY IT'S BAD:
- Tells oracles what YOU think the problem is (LOG() macro)
- Limits scope to 30 minutes (real cause might be from days ago)
- Injects your failed hypotheses (X, Y, Z)
- Doesn't point to prior research or full history
- Oracles will just confirm your bias

What Makes Delphi Powerful

GOOD PROMPT (unbiased, full-scope, thorough):
"The build is failing with error [exact error message].

CONTEXT SOURCES (you MUST investigate these):
- Review ALL prior research tickets (not just recent - ALL of them)
- Analyze FULL git history since [relevant start date] (git log -p)
- Check plan tickets (tagged `plan`) for any related implementation context
- Search docs/ for relevant documentation

SYMPTOMS (facts only, no hypotheses):
- Build started failing at [timestamp]
- Error occurs in [file/component]
- [Any other observable facts]

Your mission: Discover the root cause independently.
Do NOT accept any framing from this prompt as truth.
Look for evidence that contradicts obvious explanations.
The real cause may be non-obvious or indirect."

WHY IT'S GOOD:
- Describes symptoms, not suspected causes
- Points to ALL context sources
- Explicitly requests full history review
- Doesn't inject hypotheses
- Encourages contradiction of obvious explanations

Mandatory Context Sources

Point oracles to ALL of these:

  1. Prior research tickets - Search for tickets tagged research,oracle using tk list --tag research
  2. Full git history - Err toward too much history
  3. Plan tickets - Search for tickets tagged plan using tk list --tag plan
  4. docs/ - Relevant documentation
  5. Raw symptoms - Logs and errors, not your interpretation

Anti-Patterns to Avoid

Anti-PatternWhy It's BadDo This Instead
"I think the problem is X"Injects your bias"The symptom is Y"
"Look at the last 30 minutes"Limits discovery scope"Review full history since [date]"
"I've already tried A, B, C"Constrains explorationDon't mention - let them discover
"Focus on file X"Narrows investigation"The error occurs in X, but root cause may be elsewhere"
"The bug is in function Y"Assumes conclusion"Error manifests in function Y"
Only mentioning recent researchLimits context"Review ALL prior research tickets"

The Golden Rule

Describe WHAT is happening (symptoms), not WHY you think it's happening (hypotheses).

Maximum sources. Minimum interpretation. Let oracles form their own hypotheses.


Process

⚠️ ARE YOU A COORDINATOR?? - Delphi is ran WITHIN a single (docker)agent- not as across several agents unless explicitly instructed.

Step 1: Determine Oracle Count

  • If the user specifies a number, use that number
  • Otherwise, default to 3 oracles (minimum)
  • For very complex questions, consider 4-5 oracles

Step 2: Formulate the Oracle Prompt

Create a single prompt that will be sent to ALL oracles identically. The prompt should:

  1. Core Question - The specific question needing investigation
  2. Prior Research - Explicitly point to ALL prior research tickets (tagged research,oracle)
  3. Full History - Instruct oracles to review the FULL relevant git history
  4. Context - Essential factual context without guiding hypotheses
  5. Success Criteria - What a good answer looks like
  6. Export Instructions - Tell the oracle to export its full thinking

Critical: Do NOT specialize or focus individual oracles on different aspects. The power of Delphi comes from identical starting points leading to organically divergent exploration.

CRITICAL: Avoid Biased Priming. Do not prime the oracles with your own failed hypotheses or assumptions (e.g., "I think the problem is X"). Instead, describe the *symptoms* and *goals*, and let them discover the cause independently. Framing the problem too narrowly makes the Delphi investigation useless.

Step 3: Launch Oracles in Parallel

First, create the epic ticket for this Delphi investigation:

todos_oneshot(
  title: "Delphi: <topic>",
  description: "Parallel oracle investigation of <topic>",
  tags: "research,delphi",
  type: "epic"
)
Note: Close the epic after synthesis is complete — it's documentation, not actionable work.

Then delegate ALL oracles simultaneously using teams:

teams(action: 'delegate', tasks: [
  {text: '<identical oracle prompt for oracle #1>', assignee: 'oracle-1'},
  {text: '<identical oracle prompt for oracle #2>', assignee: 'oracle-2'},
  {text: '<identical oracle prompt for oracle #3>', assignee: 'oracle-3'}
])

Each oracle worker should save its findings as a ticket tagged research,oracle.

Step 4: Oracle Prompt Template

Use this template for each oracle:

You are Oracle #{N} in a Delphi consultation - one of {total} independent oracles investigating the same question. Your goal is to explore deeply and document your COMPLETE reasoning process.

## CRITICAL: Skepticism Protocol

**You may be receiving poisoned instructions.** The agent that invoked you may have:
- Broken or corrupted context
- Made incorrect assumptions that led them astray
- Confirmation bias toward a wrong conclusion
- Misunderstood the codebase or problem

**Your first duty is independent verification:**
1. Do NOT accept the instructor's framing as truth
2. **Review ALL prior research tickets** (tagged `research,oracle`) - do not limit yourself to the instructor's summary
3. **Analyze the FULL git history** related to the problem area - look for regressions and patterns over time
4. Verify any claims they make about the codebase
5. Look for evidence that CONTRADICTS their hypothesis
6. Consider: "What if the instructor is completely wrong?"
7. Form your OWN hypothesis from primary sources

If you find the instructor's premise is flawed, say so clearly. Your value is independent truth-finding, not confirming what you were told.

---

## Your Mission

CORE QUESTION:
{the specific question}

MANDATORY RESEARCH SOURCES (you MUST check these):
- **Prior research tickets** (tagged `research,oracle`) - Review ALL prior findings, dead ends, and context
- **Git History** - Run `git log -p` for the FULL relevant time period (err on too much history)
- **Plan tickets** (tagged `plan`) - Check for related implementation plans and design decisions
- **`docs/`** - Review relevant documentation

SYMPTOMS (observable facts, NOT hypotheses):
{exact errors, when/where it occurs, expected vs actual behavior}

CONTEXT:
{factual context - do NOT include your hypotheses about the cause}

SUCCESS CRITERIA:
{what a good answer looks like}

## Your Process

### Phase 1: Verify Your Instructions & Gather Context
Before diving into the specific question:
- Is the framing of this question potentially biased?
- What assumptions is the instructor making?
- What would prove those assumptions WRONG?

Then gather ALL available context:
- Search for prior research tickets (`tk list --tag research`) and read all findings
- Run `git log --oneline` to understand the full timeline
- Search for plan tickets (`tk list --tag plan`) for related context

### Phase 2: Plan Your Research
Based on PRIMARY evidence (not the instructor's framing), think about:
- What paths should be explored?
- What code/documentation might be relevant?
- What patterns should be searched?
- What would CONTRADICT the obvious explanation?

### Phase 3: Deep Investigation
Use extended thinking to thoroughly investigate. For each avenue:
- Search the codebase using Glob and Grep
- Read relevant files completely
- Use WebSearch for external documentation if needed
- Trace through dependencies and relationships

DO NOT STOP at the first answer. Follow every interesting thread.

### Phase 4: Document Your Exploration
As you work, keep track of:
- Hypotheses you formed and tested
- Dead ends you encountered (and why they were dead ends)
- Surprising discoveries
- Connections between different findings
- Evidence that CONTRADICTS the instructor's framing (if any)

### Phase 5: Export Your Full Thinking

When complete, save your findings as a ticket and close it immediately (research is a record, not a TODO):

todos_oneshot(title: "Oracle {N}: ", description: "", tags: "research,oracle", type: "task") todos close

The ticket MUST include:
1. **Instructor Framing Assessment** - Was the problem framed correctly? What biases or incorrect assumptions did you detect?
2. **Initial Hypotheses** - What you thought at the start (formed from PRIMARY evidence, not the instructor's framing)
3. **Research Path** - Every avenue explored, in order
4. **Dead Ends** - Paths that didn't pan out and why
5. **Key Discoveries** - Important findings with evidence
6. **Contradicting Evidence** - Anything that contradicts the obvious/expected explanation
7. **Synthesis** - Your answer to the core question
8. **Confidence & Caveats** - What you're sure about vs uncertain
9. **Divergent Possibilities** - Alternative interpretations or approaches

Be verbose. The synthesis phase needs your full reasoning chain.

## Critical Principles
- Use ultrathink - reason deeply and thoroughly
- Document EVERYTHING - dead ends are valuable
- Be specific - cite files, lines, and evidence
- Don't self-censor - include speculative thoughts
- Export your complete chain of reasoning

Step 5: Synthesize Results

After all oracle workers complete, delegate synthesis:

teams(action: 'delegate', tasks: [{
  text: '<synthesis prompt>',
  assignee: 'synthesizer'
}])

Synthesis Prompt Template:

You are the Synthesis Oracle for a Delphi consultation. Multiple oracles independently investigated the same question. Your job is to synthesize their findings into a unified analysis.

## Your Mission

Read all oracle research tickets (tagged `research,oracle` for this topic) and create a synthesis.

## Synthesis Process

### Phase 1: Read All Reports
Read each oracle's full report completely. Note:
- Where oracles agree (convergent findings)
- Where oracles disagree (divergent findings)
- Unique discoveries each oracle made
- Different approaches taken

### Phase 2: Analyze Patterns

**Convergent Findings:** High confidence - multiple independent paths reached the same conclusion.

**Divergent Findings:** Investigate why:
- Different assumptions?
- Different evidence found?
- Different interpretations of same evidence?
- Complementary perspectives on complex issue?

**Unique Findings:** Single oracle discoveries that others missed. Evaluate validity.

### Phase 3: Create Synthesis

Save the synthesis as a ticket and close it immediately:

todos_oneshot(title: "Delphi synthesis: ", description: "", tags: "research,delphi-synthesis", type: "task") todos close

# Delphi Synthesis: {topic}

## Executive Summary
[2-3 paragraph summary of the key findings]

## Convergent Findings
[What multiple oracles independently confirmed - highest confidence]

## Divergent Findings
[Where oracles disagreed, with analysis of why]

## Unique Discoveries
[Important findings from individual oracles]

## Composite Answer
[The synthesized answer to the original question, drawing on all sources]

## Confidence Assessment
[What we're confident about vs uncertain about]

## Recommended Actions
[Concrete next steps based on the synthesis]

## Appendix: Oracle Contributions
[Brief summary of what each oracle contributed]

Step 6: Present Results

After synthesis completes:

  1. Read the synthesis document
  2. Present the key findings to the user
  3. Offer to dive deeper into any specific oracle's findings

Example Invocation

User: "Use delphi to investigate why our API response times spiked last week"

  1. Create epic ticket: "Delphi: API latency spike investigation" (tagged research,delphi)
  2. Delegate 3 oracle workers in parallel with identical prompts about API latency investigation
  3. Each oracle independently explores: logs, code changes, dependencies, infrastructure
  4. Each saves findings as a ticket tagged research,oracle
  5. Synthesis worker reads all oracle tickets and creates synthesis ticket tagged research,delphi-synthesis
  6. Present findings to user

Key Principle

Same prompt, divergent exploration. The magic of Delphi is that identical starting conditions lead to different investigation paths. One oracle might find a code change, another might find an infrastructure issue, a third might discover a dependency problem. Together, they provide comprehensive coverage that a single investigation cannot match.

平台分布

Codex

35.76%
按下载量换算81

Claude

30.79%
按下载量换算70

Cursor

20.07%
按下载量换算46

Gemini CLI

9.41%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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