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Agent Skill · 研究检索

kata-research-phase(卡塔研究阶段)

kata-research-phase 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。

kata-research-phase 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,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 58,150。

总安装 420周安装 17GitHub Stars 1下载 132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:kata-research-phase(卡塔研究阶段)
来源仓库:https://github.com/gannonh/kata-skills
仓库路径:skills/kata-research-phase
安装命令:
npx skills add https://github.com/gannonh/kata-skills --skill kata-research-phase
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/gannonh/kata-skills --skill kata-research-phase

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。

kata-research-phase 用于查找、检索和筛选相关信息。适合在关键词、任务场景或来源线索下快速定位候选结果。通过 npx skills add 命令从 gannonh/kata-skills 仓库安装。安装前应确认权限范围、维护状态及是否触发联网或文件操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/kata-research-phase

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/gannonh/kata-skills --skill kata-research-phas…;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

    它需要执行命令,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

kata-research-phase 怎么安装?

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

kata-research-phase 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。

kata-research-phase 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/gannonh/kata-skills --skill kata-research-phase 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

kata-research-phase 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。

kata-research-phase 用的人多吗?

公开数据是累计安装 420 次,近一周安装 17 次,下载 132 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。

kata-research-phase 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
kata-research-phase

卡塔研究阶段 · 本页

4201执行命令未明确未通过

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

Note: This is a standalone research command. For most workflows, use /kata-plan-phase which integrates research automatically.

Use this command when:

  • You want to research without planning yet
  • You want to re-research after planning is complete
  • You need to investigate before deciding if a phase is feasible

Orchestrator role: Parse phase, validate against roadmap, check existing research, gather context, spawn researcher agent, present results.

Why subagent: Research burns context fast (WebSearch, Context7 queries, source verification). Fresh 200k context for investigation. Main context stays lean for user interaction.

Normalize phase input in step 1 before any directory lookups.

0. Resolve Model Profile

Read model profile for agent spawning:

MODEL_PROFILE=$(node scripts/kata-lib.cjs read-config "model_profile" "balanced")

Default to "balanced" if not set.

Model lookup table:

Agentqualitybalancedbudget
kata-phase-researcheropussonnethaiku

Store resolved model for use in Task calls below.

1. Normalize and Validate Phase

# Normalize phase number (8 → 08, but preserve decimals like 2.1 → 02.1)
if [[ "$ARGUMENTS" =~ ^[0-9]+$ ]]; then
  PHASE=$(printf "%02d" "$ARGUMENTS")
elif [[ "$ARGUMENTS" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
  PHASE=$(printf "%02d.%s" "${BASH_REMATCH[1]}" "${BASH_REMATCH[2]}")
else
  PHASE="$ARGUMENTS"
fi

grep -A5 "Phase ${PHASE}:" .planning/ROADMAP.md 2>/dev/null

If not found: Error and exit. If found: Extract phase number, name, description.

2. Find Phase Directory and Check Existing Research

# Universal phase discovery
PADDED=$(printf "%02d" "$PHASE" 2>/dev/null || echo "$PHASE")
PHASE_DIR=""
for state in active pending completed; do
  PHASE_DIR=$(find .planning/phases/${state} -maxdepth 1 -type d -name "${PADDED}-*" 2>/dev/null | head -1)
  [ -z "$PHASE_DIR" ] && PHASE_DIR=$(find .planning/phases/${state} -maxdepth 1 -type d -name "${PHASE}-*" 2>/dev/null | head -1)
  [ -n "$PHASE_DIR" ] && break
done
# Fallback: flat directory (backward compatibility)
if [ -z "$PHASE_DIR" ]; then
  PHASE_DIR=$(find .planning/phases -maxdepth 1 -type d -name "${PADDED}-*" 2>/dev/null | head -1)
  [ -z "$PHASE_DIR" ] && PHASE_DIR=$(find .planning/phases -maxdepth 1 -type d -name "${PHASE}-*" 2>/dev/null | head -1)
fi

ls ${PHASE_DIR}/RESEARCH.md 2>/dev/null

If exists: Offer: 1) Update research, 2) View existing, 3) Skip. Wait for response.

If doesn't exist: Continue.

3. Gather Phase Context

grep -A20 "Phase ${PHASE}:" .planning/ROADMAP.md
cat .planning/REQUIREMENTS.md 2>/dev/null
cat ${PHASE_DIR}/${PHASE}-CONTEXT.md 2>/dev/null
grep -A30 "### Decisions Made" .planning/STATE.md 2>/dev/null

Present summary with phase description, requirements, prior decisions.

3.5. Load Phase-Researcher Instructions

Read the phase-researcher agent instructions for inlining into Task() calls:

phase_researcher_instructions_content=$(cat references/phase-researcher-instructions.md)

4. Spawn kata-phase-researcher Agent

Research modes: ecosystem (default), feasibility, implementation, comparison.

<research_type>
Phase Research — investigating HOW to implement a specific phase well.
</research_type>

<key_insight>
The question is NOT "which library should I use?"

The question is: "What do I not know that I don't know?"

For this phase, discover:
- What's the established architecture pattern?
- What libraries form the standard stack?
- What problems do people commonly hit?
- What's SOTA vs what Claude's training thinks is SOTA?
- What should NOT be hand-rolled?
</key_insight>

<objective>
Research implementation approach for Phase {phase_number}: {phase_name}
Mode: ecosystem
</objective>

<context>
**Phase description:** {phase_description}
**Requirements:** {requirements_list}
**Prior decisions:** {decisions_if_any}
**Phase context:** {context_md_content}
</context>

<downstream_consumer>
Your RESEARCH.md will be loaded by `/kata-plan-phase` which uses specific sections:
- `## Standard Stack` → Plans use these libraries
- `## Architecture Patterns` → Task structure follows these
- `## Don't Hand-Roll` → Tasks NEVER build custom solutions for listed problems
- `## Common Pitfalls` → Verification steps check for these
- `## Code Examples` → Task actions reference these patterns

Be prescriptive, not exploratory. "Use X" not "Consider X or Y."
</downstream_consumer>

<quality_gate>
Before declaring complete, verify:
- [ ] All domains investigated (not just some)
- [ ] Negative claims verified with official docs
- [ ] Multiple sources for critical claims
- [ ] Confidence levels assigned honestly
- [ ] Section names match what phase-plan expects
</quality_gate>

<output>
Write to: ${PHASE_DIR}/${PHASE}-RESEARCH.md
</output>
Task(
  prompt="<agent-instructions>\n{phase_researcher_instructions_content}\n</agent-instructions>\n\n" + filled_prompt,
  subagent_type="general-purpose",
  model="{researcher_model}",
  description="Research Phase {phase}"
)

5. Handle Agent Return

## RESEARCH COMPLETE: Display summary.

Next steps: Offer: Plan phase, Dig deeper, Brainstorm ideas, Review full, Done.

  • "Brainstorm ideas": Run /kata-brainstorm to explore ideas based on research findings. After brainstorm completes, return to this menu.

## CHECKPOINT REACHED: Present to user, get response, spawn continuation.

## RESEARCH INCONCLUSIVE: Show what was attempted, offer: Add context, Try different mode, Manual.

6. Spawn Continuation Agent

<objective>
Continue research for Phase {phase_number}: {phase_name}
</objective>

<prior_state>
Research file: @${PHASE_DIR}/${PHASE}-RESEARCH.md
</prior_state>

<checkpoint_response>
**Type:** {checkpoint_type}
**Response:** {user_response}
</checkpoint_response>
Task(
  prompt="<agent-instructions>\n{phase_researcher_instructions_content}\n</agent-instructions>\n\n" + continuation_prompt,
  subagent_type="general-purpose",
  model="{researcher_model}",
  description="Continue research Phase {phase}"
)

<success_criteria>

  • Phase validated against roadmap
  • Existing research checked
  • kata-phase-researcher spawned with context
  • Checkpoints handled correctly
  • User knows next steps </success_criteria>

平台分布

Codex

34.66%
按下载量换算46

Claude

34.37%
按下载量换算45

Cursor

18.05%
按下载量换算24

Gemini CLI

9.01%
按下载量换算12

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/gannonh/kata-skills --skill kata-research-phase 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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