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sciomcsciomc 搜索

Agent Skill

sciomc 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。

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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

2

许可证

unknown

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:sciomc(sciomc 搜索)
来源仓库:https://github.com/yeachan-heo/oh-my-claudecode
仓库路径:skills/sciomc
安装命令:
npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill sciomc
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/yeachan-heo/oh-my-claudecode --skill sciomc

简介

sciomc 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。

  • 适用于科研选题、文献调研、信息聚合等需要从多源数据中提炼线索的场景。
  • 通过安装命令 npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill sciomc 添加,需确认权限范围和维护状态。
  • 使用前应核实是否会触发联网、命令执行或文件读写操作,避免越权访问。
  • 建议结合原始 README 进一步核验具体用法和功能边界。

SKILL.md

Research Skill

Orchestrate parallel scientist agents for comprehensive research workflows with optional AUTO mode for fully autonomous execution.

Overview

Research is a multi-stage workflow that decomposes complex research goals into parallel investigations:

  1. Decomposition - Break research goal into independent stages/hypotheses
  2. Execution - Run parallel scientist agents on each stage
  3. Verification - Cross-validate findings, check consistency
  4. Synthesis - Aggregate results into comprehensive report

Usage Examples

/oh-my-claudecode:sciomc <goal>                    # Standard research with user checkpoints
/oh-my-claudecode:sciomc AUTO: <goal>              # Fully autonomous until complete
/oh-my-claudecode:sciomc status                    # Check current research session status
/oh-my-claudecode:sciomc resume                    # Resume interrupted research session
/oh-my-claudecode:sciomc list                      # List all research sessions
/oh-my-claudecode:sciomc report <session-id>       # Generate report for session

Quick Examples

/oh-my-claudecode:sciomc What are the performance characteristics of different sorting algorithms?
/oh-my-claudecode:sciomc AUTO: Analyze authentication patterns in this codebase
/oh-my-claudecode:sciomc How does the error handling work across the API layer?

Research Protocol

Stage Decomposition Pattern

When given a research goal, decompose into 3-7 independent stages:

## Research Decomposition

**Goal:** <original research goal>

### Stage 1: <stage-name>
- **Focus:** What this stage investigates
- **Hypothesis:** Expected finding (if applicable)
- **Scope:** Files/areas to examine
- **Tier:** LOW | MEDIUM | HIGH

### Stage 2: <stage-name>
...

Parallel Scientist Invocation

Fire independent stages in parallel via Task tool:

// Stage 1 - Simple data gathering
Task(subagent_type="oh-my-claudecode:scientist", model="haiku", prompt="[RESEARCH_STAGE:1] Investigate...")

// Stage 2 - Standard analysis
Task(subagent_type="oh-my-claudecode:scientist", model="sonnet", prompt="[RESEARCH_STAGE:2] Analyze...")

// Stage 3 - Complex reasoning
Task(subagent_type="oh-my-claudecode:scientist", model="opus", prompt="[RESEARCH_STAGE:3] Deep analysis of...")

Smart Model Routing

CRITICAL: Always pass model parameter explicitly!

Task ComplexityAgentModelUse For
Data gatheringscientist (model=haiku)haikuFile enumeration, pattern counting, simple lookups
Standard analysisscientistsonnetCode analysis, pattern detection, documentation review
Complex reasoningscientistopusArchitecture analysis, cross-cutting concerns, hypothesis validation

Routing Decision Guide

Research TaskTierExample Prompt
"Count occurrences of X"LOW"Count all usages of useState hook"
"Find all files matching Y"LOW"List all test files in the project"
"Analyze pattern Z"MEDIUM"Analyze error handling patterns in API routes"
"Document how W works"MEDIUM"Document the authentication flow"
"Explain why X happens"HIGH"Explain why race conditions occur in the cache layer"
"Compare approaches A vs B"HIGH"Compare Redux vs Context for state management here"

Verification Loop

After parallel execution completes, verify findings:

// Cross-validation stage
Task(subagent_type="oh-my-claudecode:scientist", model="sonnet", prompt="
[RESEARCH_VERIFICATION]
Cross-validate these findings for consistency:

Stage 1 findings: <summary>
Stage 2 findings: <summary>
Stage 3 findings: <summary>

Check for:
1. Contradictions between stages
2. Missing connections
3. Gaps in coverage
4. Evidence quality

Output: [VERIFIED] or [CONFLICTS:<list>]
")

AUTO Mode

AUTO mode runs the complete research workflow autonomously with loop control.

Loop Control Protocol

[RESEARCH + AUTO - ITERATION {{ITERATION}}/{{MAX}}]

Your previous attempt did not output the completion promise. Continue working.

Current state: {{STATE}}
Completed stages: {{COMPLETED_STAGES}}
Pending stages: {{PENDING_STAGES}}

Promise Tags

TagMeaningWhen to Use
[PROMISE:RESEARCH_COMPLETE]Research finished successfullyAll stages done, verified, report generated
[PROMISE:RESEARCH_BLOCKED]Cannot proceedMissing data, access issues, circular dependency

AUTO Mode Rules

  1. Max Iterations: 10 (configurable)
  2. Continue until: Promise tag emitted OR max iterations
  3. State tracking: Persist after each stage completion
  4. Cancellation: /oh-my-claudecode:cancel or "stop", "cancel"

AUTO Mode Example

/oh-my-claudecode:sciomc AUTO: Comprehensive security analysis of the authentication system

[Decomposition]
- Stage 1 (LOW): Enumerate auth-related files
- Stage 2 (MEDIUM): Analyze token handling
- Stage 3 (MEDIUM): Review session management
- Stage 4 (HIGH): Identify vulnerability patterns
- Stage 5 (MEDIUM): Document security controls

[Execution - Parallel]
Firing stages 1-3 in parallel...
Firing stages 4-5 after dependencies complete...

[Verification]
Cross-validating findings...

[Synthesis]
Generating report...

[PROMISE:RESEARCH_COMPLETE]

Parallel Execution Patterns

Independent Dataset Analysis (Parallel)

When stages analyze different data sources:

// All fire simultaneously
Task(subagent_type="oh-my-claudecode:scientist", model="haiku", prompt="[STAGE:1] Analyze src/api/...")
Task(subagent_type="oh-my-claudecode:scientist", model="haiku", prompt="[STAGE:2] Analyze src/utils/...")
Task(subagent_type="oh-my-claudecode:scientist", model="haiku", prompt="[STAGE:3] Analyze src/components/...")

Hypothesis Battery (Parallel)

When testing multiple hypotheses:

// Test hypotheses simultaneously
Task(subagent_type="oh-my-claudecode:scientist", model="sonnet", prompt="[HYPOTHESIS:A] Test if caching improves...")
Task(subagent_type="oh-my-claudecode:scientist", model="sonnet", prompt="[HYPOTHESIS:B] Test if batching reduces...")
Task(subagent_type="oh-my-claudecode:scientist", model="sonnet", prompt="[HYPOTHESIS:C] Test if lazy loading helps...")

Cross-Validation (Sequential)

When verification depends on all findings:

// Wait for all parallel stages
[stages complete]

// Then sequential verification
Task(subagent_type="oh-my-claudecode:scientist", model="opus", prompt="
[CROSS_VALIDATION]
Validate consistency across all findings:
- Finding 1: ...
- Finding 2: ...
- Finding 3: ...
")

Concurrency Limit

Maximum 20 concurrent scientist agents to prevent resource exhaustion.

If more than 20 stages, batch them:

Batch 1: Stages 1-5 (parallel)
[wait for completion]
Batch 2: Stages 6-7 (parallel)

Session Management

Directory Structure

.omc/research/{session-id}/
  state.json              # Session state and progress
  stages/
    stage-1.md            # Stage 1 findings
    stage-2.md            # Stage 2 findings
    ...
  findings/
    raw/                  # Raw findings from scientists
    verified/             # Post-verification findings
  figures/
    figure-1.png          # Generated visualizations
    ...
  report.md               # Final synthesized report

State File Format

{
  "id": "research-20240115-abc123",
  "goal": "Original research goal",
  "status": "in_progress | complete | blocked | cancelled",
  "mode": "standard | auto",
  "iteration": 3,
  "maxIterations": 10,
  "stages": [
    {
      "id": 1,
      "name": "Stage name",
      "tier": "LOW | MEDIUM | HIGH",
      "status": "pending | running | complete | failed",
      "startedAt": "ISO timestamp",
      "completedAt": "ISO timestamp",
      "findingsFile": "stages/stage-1.md"
    }
  ],
  "verification": {
    "status": "pending | passed | failed",
    "conflicts": [],
    "completedAt": "ISO timestamp"
  },
  "createdAt": "ISO timestamp",
  "updatedAt": "ISO timestamp"
}

Session Commands

CommandAction
/oh-my-claudecode:sciomc statusShow current session progress
/oh-my-claudecode:sciomc resumeResume most recent interrupted session
/oh-my-claudecode:sciomc resume <session-id>Resume specific session
/oh-my-claudecode:sciomc listList all sessions with status
/oh-my-claudecode:sciomc report <session-id>Generate/regenerate report
/oh-my-claudecode:sciomc cancelCancel current session (preserves state)

Tag Extraction

Scientists use structured tags for findings. Extract them with these patterns:

Finding Tags

[FINDING:<id>] <title>
<evidence and analysis>
[/FINDING]

[EVIDENCE:<finding-id>]
- File: <path>
- Lines: <range>
- Content: <relevant code/text>
[/EVIDENCE]

[CONFIDENCE:<level>] # HIGH | MEDIUM | LOW
<reasoning for confidence level>

Extraction Regex Patterns

// Finding extraction
const findingPattern = /\[FINDING:(\w+)\]\s*(.*?)\n([\s\S]*?)\[\/FINDING\]/g;

// Evidence extraction
const evidencePattern = /\[EVIDENCE:(\w+)\]([\s\S]*?)\[\/EVIDENCE\]/g;

// Confidence extraction
const confidencePattern = /\[CONFIDENCE:(HIGH|MEDIUM|LOW)\]\s*(.*)/g;

// Stage completion
const stageCompletePattern = /\[STAGE_COMPLETE:(\d+)\]/;

// Verification result
const verificationPattern = /\[(VERIFIED|CONFLICTS):?(.*?)\]/;

Evidence Window

When extracting evidence, include context window:

[EVIDENCE:F1]
- File: /src/auth/login.ts
- Lines: 45-52 (context: 40-57)
- Content:

// Lines 45-52 with 5 lines context above/below


[/EVIDENCE]

Quality Validation

Findings must meet quality threshold:

Quality CheckRequirement
Evidence presentAt least 1 [EVIDENCE] per [FINDING]
Confidence statedEach finding has [CONFIDENCE]
Source citedFile paths are absolute and valid
ReproducibleAnother agent could verify

Report Generation

Report Template

# Research Report: {{GOAL}}

**Session ID:** {{SESSION_ID}}
**Date:** {{DATE}}
**Status:** {{STATUS}}

## Executive Summary

{{2-3 paragraph summary of key findings}}

## Methodology

### Research Stages

| Stage | Focus | Tier | Status |
|-------|-------|------|--------|
{{STAGES_TABLE}}

### Approach

{{Description of decomposition rationale and execution strategy}}

## Key Findings

### Finding 1: {{TITLE}}

**Confidence:** {{HIGH|MEDIUM|LOW}}

{{Detailed finding with evidence}}

#### Evidence

{{Embedded evidence blocks}}

### Finding 2: {{TITLE}}
...

## Visualizations

{{FIGURES}}

## Cross-Validation Results

{{Verification summary, any conflicts resolved}}

## Limitations

- {{Limitation 1}}
- {{Limitation 2}}
- {{Areas not covered and why}}

## Recommendations

1. {{Actionable recommendation}}
2. {{Actionable recommendation}}

## Appendix

### Raw Data

{{Links to raw findings files}}

### Session State

{{Link to state.json}}

Figure Embedding Protocol

Scientists generate visualizations using this marker:

[FIGURE:path/to/figure.png]
Caption: Description of what the figure shows
Alt: Accessibility description
[/FIGURE]

Report generator embeds figures:

## Visualizations

![Figure 1: Description](figures/figure-1.png)
*Caption: Description of what the figure shows*

![Figure 2: Description](figures/figure-2.png)
*Caption: Description of what the figure shows*

Figure Types

TypeUse ForGenerated By
Architecture diagramSystem structurescientist
Flow chartProcess flowsscientist
Dependency graphModule relationshipsscientist
TimelineSequence of eventsscientist
Comparison tableA vs B analysisscientist

Configuration

Optional settings in .claude/settings.json:

{
  "omc": {
    "research": {
      "maxIterations": 10,
      "maxConcurrentScientists": 5,
      "defaultTier": "MEDIUM",
      "autoVerify": true,
      "generateFigures": true,
      "evidenceContextLines": 5
    }
  }
}

Cancellation

/oh-my-claudecode:cancel

Or say: "stop research", "cancel research", "abort"

Progress is preserved in .omc/research/{session-id}/ for resume.

Troubleshooting

Stuck in verification loop?

  • Check for conflicting findings between stages
  • Review state.json for specific conflicts
  • May need to re-run specific stages with different approach

Scientists returning low-quality findings?

  • Check tier assignment - complex analysis needs HIGH tier
  • Ensure prompts include clear scope and expected output format
  • Review if research goal is too broad

AUTO mode exhausted iterations?

  • Review state to see where it's stuck
  • Check if goal is achievable with available data
  • Consider breaking into smaller research sessions

Missing figures in report?

  • Verify figures/ directory exists
  • Check [FIGURE:] tags in findings
  • Ensure paths are relative to session directory

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

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

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

Codex

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按下载量换算748

Claude

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按下载量换算616

Cursor

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按下载量换算351

Gemini CLI

8.86%
按下载量换算182

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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