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Agent Skill · 研究检索

skill-researcher(技能研究员)

skill-researcher 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。

skill-researcher 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,权限为权限未标注;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 61,880。

总安装 346周安装 14GitHub Stars 437下载 109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:skill-researcher(技能研究员)
来源仓库:https://github.com/benbrastmckie/.config
仓库路径:skills/skill-researcher
安装命令:
npx skills add https://github.com/benbrastmckie/.config --skill skill-researcher
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/benbrastmckie/.config --skill skill-researcher

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。

skill-researcher 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。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。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/skill-researcher

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/benbrastmckie/.config --skill skill-researcher;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

skill-researcher 怎么安装?

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

skill-researcher 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。

skill-researcher 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

skill-researcher 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。

skill-researcher 用的人多吗?

公开数据是累计安装 346 次,近一周安装 14 次,下载 109 次,GitHub 437 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。

skill-researcher 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。

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。

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
skill-researcher

技能研究员 · 本页

346437权限未标注未明确有提醒

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

name
skill-researcher
description
Conduct general research using web search, documentation, and codebase exploration. Invoke for general research tasks.
allowed-tools
Task, Bash, Edit, Read, Write

Researcher Skill

Thin wrapper that delegates general research to general-research-agent subagent.

IMPORTANT: This skill implements the skill-internal postflight pattern. After the subagent returns, this skill handles all postflight operations (status update, artifact linking, git commit) before returning. This eliminates the "continue" prompt issue between skill return and orchestrator.

Context References

Reference (do not load eagerly):

  • Path: .claude/context/formats/return-metadata-file.md - Metadata file schema
  • Path: .claude/context/patterns/postflight-control.md - Marker file protocol
  • Path: .claude/context/patterns/file-metadata-exchange.md - File I/O helpers
  • Path: .claude/context/patterns/jq-escaping-workarounds.md - jq escaping patterns (Issue #1132)

Note: This skill is a thin wrapper with internal postflight. Context is loaded by the delegated agent.

Trigger Conditions

This skill activates when:

  • Task type is "general", "meta", "markdown", "latex", or "typst"
  • Research is needed for implementation planning
  • Documentation or external resources need to be gathered

Execution Flow

Stage 1: Input Validation

Validate required inputs:

  • task_number - Must be provided and exist in state.json
  • focus_prompt - Optional focus for research direction
# Lookup task
task_data=$(jq -r --argjson num "$task_number" \
  '.active_projects[] | select(.project_number == $num)' \
  specs/state.json)

# Validate exists
if [ -z "$task_data" ]; then
  return error "Task $task_number not found"
fi

# Extract fields
task_type=$(echo "$task_data" | jq -r '.task_type // "general"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')

Stage 2: Preflight Status Update

Update task status to "researching" BEFORE invoking subagent.

.claude/scripts/update-task-status.sh preflight "$task_number" research "$session_id"

This atomically updates state.json (status, timestamps, session_id), TODO.md task entry, and TODO.md Task Order section. If the script exits non-zero, abort and keep current status.


Stage 3: Create Postflight Marker

Create the marker file to prevent premature termination:

# Ensure task directory exists
padded_num=$(printf "%03d" "$task_number")
mkdir -p "specs/${padded_num}_${project_name}"

cat > "specs/${padded_num}_${project_name}/.postflight-pending" << EOF
{
  "session_id": "${session_id}",
  "skill": "skill-researcher",
  "task_number": ${task_number},
  "operation": "research",
  "reason": "Postflight pending: status update, artifact linking, git commit",
  "created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
  "stop_hook_active": false
}
EOF

Stage 3a: Read Artifact Number

Read next_artifact_number from state.json (or fall back to directory scanning for legacy tasks):

# Read next_artifact_number from state.json
artifact_number=$(jq -r --argjson num "$task_number" \
  '.active_projects[] | select(.project_number == $num) | .next_artifact_number // 1' \
  specs/state.json)

# Fallback for legacy tasks: count existing artifacts
if [ "$artifact_number" = "null" ] || [ -z "$artifact_number" ]; then
  padded_num=$(printf "%03d" "$task_number")
  count=$(ls "specs/${padded_num}_${project_name}/reports/"*[0-9][0-9]*.md 2>/dev/null | wc -l)
  artifact_number=$((count + 1))
fi

artifact_padded=$(printf "%02d" "$artifact_number")

Stage 4a: Memory Retrieval (Auto)

Retrieve relevant memories from the memory system to inject into the delegation context.

Skip if: clean_flag is true in the delegation context (from --clean command flag).

# Check clean_flag
if [ "$clean_flag" != "true" ]; then
  memory_context=$(bash .claude/scripts/memory-retrieve.sh "$description" "$task_type" "$focus_prompt" 2>/dev/null) || memory_context=""
fi

# memory_context will be empty string if:
# - clean_flag is true (skipped)
# - memory-index.json missing or empty
# - no keywords matched any entries
# - script exited with error

If memory_context is non-empty, it will be injected into the Stage 5 prompt alongside the format specification from Stage 4b. If empty, no memory block is injected.


Stage 4c: Roadmap Consultation (Auto)

Read the project roadmap to inject strategic context into the research agent prompt.

Skip if: clean_flag is true in the delegation context (from --clean command flag).

# Check clean_flag (same gate as memory retrieval)
roadmap_context=""
if [ "$clean_flag" != "true" ]; then
  roadmap_file="specs/ROADMAP.md"
  if [ -f "$roadmap_file" ]; then
    roadmap_context=$(cat "$roadmap_file")
  fi
fi

# roadmap_context will be empty string if:
# - clean_flag is true (skipped)
# - specs/ROADMAP.md does not exist
# - file is empty

If roadmap_context is non-empty, it will be injected into the Stage 5 prompt as a tagged block. If empty, no roadmap block is injected.

Note: If ROADMAP.md grows beyond ~100 lines, consider adding a size-check threshold and summarizing before injection.


Stage 4: Prepare Delegation Context

Prepare delegation context for the subagent:

{
  "session_id": "sess_{timestamp}_{random}",
  "delegation_depth": 1,
  "delegation_path": ["orchestrator", "research", "skill-researcher"],
  "timeout": 3600,
  "task_context": {
    "task_number": N,
    "task_name": "{project_name}",
    "description": "{description}",
    "task_type": "{task_type}"
  },
  "artifact_number": "{artifact_number from Stage 3a}",
  "focus_prompt": "{optional focus}",
  "effort_flag": "{effort_flag from command, null if not set}",
  "model_flag": "{model_flag from command, null if not set}",
  "roadmap_path": "specs/ROADMAP.md",
  "metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json"
}

Note: The artifact_number field tells the agent which sequence number to use for artifact naming (e.g., 01, 02).

Model/Effort Flags: If model_flag is set (haiku, sonnet, opus), pass it as the model parameter on the Task tool to override the agent's frontmatter default. If effort_flag is set (fast, hard), include it as prompt context for reasoning depth guidance.


Stage 4b: Read and Inject Format Specification

Read the report format file and prepare it for injection into the subagent prompt. This ensures the subagent always has the full format specification in its context, regardless of whether it reads the file itself.

format_content=$(cat .claude/context/formats/report-format.md)

The format content will be included as a delimited section in the Stage 5 prompt (see below).


Stage 5: Invoke Subagent

CRITICAL: You MUST use the Task tool to spawn the subagent.

Required Tool Invocation:

Tool: Task (NOT Skill)
Parameters:
  - subagent_type: "general-research-agent"
  - prompt: [Include task_context, delegation_context, focus_prompt, metadata_file_path,
             AND the format specification from Stage 4b as shown below]
  - description: "Execute research for task {N}"

Format Injection: Include the format specification from Stage 4b in the prompt as a clearly-delimited section:

<artifact-format-specification>
## CRITICAL: Report Format Requirements

You MUST follow this format specification exactly when writing the research report.
Non-compliance will be caught by postflight validation.

{format_content from Stage 4b}
</artifact-format-specification>

Place this section AFTER the delegation context JSON and BEFORE any other instructions.

Memory Context Injection: If memory_context from Stage 4a is non-empty, include it in the prompt as a separate block:

{memory_context from Stage 4a -- already wrapped in <memory-context> tags}

Place the memory context block AFTER the format specification and BEFORE the roadmap context block. Do NOT inject an empty <memory-context> block when no memories were retrieved.

Roadmap Context Injection: If roadmap_context from Stage 4c is non-empty, include it in the prompt as a separate block:

<roadmap-context>
## Project Roadmap (auto-injected, read-only)

{roadmap_context from Stage 4c}
</roadmap-context>

Place the roadmap context block AFTER the <memory-context> block and BEFORE the task-specific instructions. Do NOT inject an empty <roadmap-context> block when no roadmap was read.

DO NOT use Skill(general-research-agent) - this will FAIL.

The subagent will:

  • Search codebase for related patterns
  • Search web for documentation and examples
  • Analyze findings and synthesize recommendations
  • Create research report in specs/{NNN}_{SLUG}/reports/
  • Write metadata to specs/{NNN}_{SLUG}/.return-meta.json
  • Return a brief text summary (NOT JSON)

Stage 5b: Self-Execution Fallback

CRITICAL: If you performed the work above WITHOUT using the Task tool (i.e., you read files, wrote artifacts, or updated metadata directly instead of spawning a subagent), you MUST write a .return-meta.json file now before proceeding to postflight. Use the schema from return-metadata-file.md with status value "researched" and the appropriate artifact information.

If you DID use the Task tool (Stage 5), skip this stage -- the subagent already wrote the metadata.


Postflight (ALWAYS EXECUTE)

The following stages MUST execute after work is complete, whether the work was done by a subagent (Stage 5) or inline (Stage 5b). Do NOT skip these stages for any reason.

Stage 6: Parse Subagent Return (Read Metadata File)

Read the metadata file:

metadata_file="specs/${padded_num}_${project_name}/.return-meta.json"

if [ -f "$metadata_file" ] && jq empty "$metadata_file" 2>/dev/null; then
    status=$(jq -r '.status' "$metadata_file")
    artifact_path=$(jq -r '.artifacts[0].path // ""' "$metadata_file")
    artifact_type=$(jq -r '.artifacts[0].type // ""' "$metadata_file")
    artifact_summary=$(jq -r '.artifacts[0].summary // ""' "$metadata_file")
    memory_candidates=$(jq -c '.memory_candidates // []' "$metadata_file")
else
    echo "Error: Invalid or missing metadata file"
    status="failed"
fi

Stage 6a: Validate Artifact Content

If subagent status is "researched" and artifact_path is non-empty, validate the report artifact against format requirements. This is non-blocking -- warnings are logged but do not prevent postflight from completing.

if [ "$status" = "researched" ] && [ -n "$artifact_path" ] && [ -f "$artifact_path" ]; then
    echo "Validating report artifact..."
    if ! bash .claude/scripts/validate-artifact.sh "$artifact_path" report --fix; then
        echo "WARNING: Report artifact has format issues (non-blocking). Review output above."
    fi
fi

Note: The --fix flag attempts auto-repair of missing metadata fields. Validation failures are logged but do not block status update or git commit.


Stage 7: Update Task Status (Postflight)

If status is "researched", update status and increment artifact number:

# Step 1: Update status (state.json, TODO.md task entry, TODO.md Task Order)
if [ "$status" = "researched" ]; then
  .claude/scripts/update-task-status.sh postflight "$task_number" research "$session_id"
fi

# Step 2: Increment next_artifact_number (research advances the sequence)
jq '(.active_projects[] | select(.project_number == '$task_number')).next_artifact_number =
    (((.active_projects[] | select(.project_number == '$task_number')).next_artifact_number // 1) + 1)' \
  specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json

Note: Research is the only operation that increments next_artifact_number. Plan and implement use (current - 1) to stay in the same "round".

On partial/failed: Keep status as "researching" for resume (do not call the script).


Stage 7a: Propagate Memory Candidates

If the agent emitted memory candidates, append them to the task's state.json entry using append semantics (merge with any existing candidates from prior operations).

if [ "$memory_candidates" != "[]" ] && [ -n "$memory_candidates" ]; then
    # Append new candidates to existing array (append semantics, not overwrite)
    jq --argjson new_candidates "$memory_candidates" \
      '(.active_projects[] | select(.project_number == '$task_number')).memory_candidates =
        ((.active_projects[] | select(.project_number == '$task_number')).memory_candidates // []) + $new_candidates' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi

Note: Uses // [] fallback so this works whether or not the task already has candidates. Append semantics ensure research and implementation candidates coexist.


Stage 8: Link Artifacts

Add artifact to state.json with summary.

IMPORTANT: Use two-step jq pattern to avoid Issue #1132 escaping bug. See jq-escaping-workarounds.md.

if [ -n "$artifact_path" ]; then
    # Step 1: Filter out existing research artifacts (use "| not" pattern to avoid != escaping - Issue #1132)
    jq '(.active_projects[] | select(.project_number == '$task_number')).artifacts =
        [(.active_projects[] | select(.project_number == '$task_number')).artifacts // [] | .[] | select(.type == "research" | not)]' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json

    # Step 2: Add new research artifact
    jq --arg path "$artifact_path" \
       --arg type "$artifact_type" \
       --arg summary "$artifact_summary" \
      '(.active_projects[] | select(.project_number == '$task_number')).artifacts += [{"path": $path, "type": $type, "summary": $summary}]' \
      specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi

Link artifact in TODO.md: Use the link-artifact-todo.sh script (REQUIRED -- do NOT manually edit artifact links in TODO.md):

bash .claude/scripts/link-artifact-todo.sh $task_number '**Research**' '**Plan**' "$artifact_path"

The script produces bracket-only [path] format. Never use markdown [name](path) format for artifact links. If the script exits non-zero, log a warning but continue (linking errors are non-blocking).


Stage 9: Cleanup

Remove marker and metadata files:

rm -f "specs/${padded_num}_${project_name}/.postflight-pending"
rm -f "specs/${padded_num}_${project_name}/.postflight-loop-guard"
rm -f "specs/${padded_num}_${project_name}/.return-meta.json"

Stage 10: Return Brief Summary

Return a brief text summary (NOT JSON). Example:

Research completed for task {N}:
- Found {count} relevant patterns and resources
- Identified implementation approach: {approach}
- Created report at specs/{NNN}_{SLUG}/reports/MM_{short-slug}.md
- Status updated to [RESEARCHED]

Error Handling

Input Validation Errors

Return immediately with error message if task not found.

Metadata File Missing

If subagent didn't write metadata file:

  1. Keep status as "researching"
  2. Do not cleanup postflight marker
  3. Report error to user

Subagent Timeout

Return partial status if subagent times out (default 3600s). Keep status as "researching" for resume.


MUST NOT (Postflight Boundary)

After the agent returns, this skill MUST NOT:

  1. Edit source files - All research work is done by agent
  2. Run build/test commands - Verification is done by agent
  3. Use MCP/WebSearch tools - Research tools are for agent use only
  4. Analyze or grep source - Analysis is agent work
  5. Write reports - Artifact creation is agent work

The postflight phase is LIMITED TO:

  • Reading agent metadata file
  • Calling update-task-status.sh for status updates (state.json + TODO.md)
  • Incrementing next_artifact_number via jq
  • Linking artifacts in state.json
  • Cleanup of temp/marker files

Reference: @.claude/context/standards/postflight-tool-restrictions.md


Return Format

This skill returns a brief text summary (NOT JSON). The JSON metadata is written to the file and processed internally.

Example successful return:

Research completed for task 412:
- Found 8 relevant patterns for implementation
- Identified lazy context loading and skill-to-agent mapping patterns
- Created report at specs/412_general_research/reports/MM_{short-slug}.md
- Status updated to [RESEARCHED]

Example partial return:

Research partially completed for task 412:
- Found 4 codebase patterns
- Web search failed due to network error
- Partial report created at specs/412_general_research/reports/MM_{short-slug}.md
- Status remains [RESEARCHING] - run /research 412 to continue

平台分布

Codex

33.48%
按下载量换算36

Claude

33.45%
按下载量换算36

Cursor

17.5%
按下载量换算19

Gemini CLI

9.67%
按下载量换算11

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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