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research-tracker研究跟踪器

Agent Skill

research-tracker 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

96,941

周安装

4,080

GitHub Stars

1

下载量

33,946
OpenClaw

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

MIT-0

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:research-tracker(研究跟踪器)
来源仓库:https://github.com/julian1645/research-tracker
安装命令:
openclaw skills install research-tracker
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install research-tracker

简介

通过 SQLite 通过状态日志记录、指令队列、代理协调和进度监控来管理和跟踪自主 AI 研究项目。

SKILL.md

name
research-tracker
description
Manage autonomous AI research agents with SQLite-based state tracking. Use when spawning long-running research sub-agents, tracking multi-step investigations, coordinating agent handoffs, or monitoring background work. Triggers on: research projects, sub-agent coordination, autonomous investigation, progress tracking, agent oversight.

Research Tracker

CLI tool for managing autonomous research agents with append-only state, instruction queues, and oversight.

Prerequisites

brew tap 1645labs/tap
brew install julians-research-tracker

Or: go install github.com/1645labs/julians-research-tracker/cmd/research@latest

Quick Start

Start a research project

research init market-q1 --name "Q1 Market Analysis" --objective "Analyze competitor pricing and positioning"

As the research agent — log progress

export RESEARCH_SESSION_ID="$SESSION_KEY"  # Track which agent is writing

research log market-q1 STEP_BEGIN --step 1 --payload '{"task":"gather sources"}'
# ... do work ...
research log market-q1 STEP_COMPLETE --step 1
research heartbeat market-q1

Check status (from main session or heartbeat)

research status market-q1 --json
research context market-q1 --last 5  # Truncated context for prompts

Send instructions to running agent

research instruct market-q1 "Focus on enterprise segment" --priority URGENT
research stop-signal market-q1  # Request graceful stop

Agent checks for instructions

research pending market-q1 --json
research ack market-q1 --all  # Acknowledge after processing
research check-stop market-q1  # Exit 0 = stop, Exit 1 = continue

Commands Reference

CommandPurpose
init <id> -o "..."Create project with objective
`list [--status active\done\all]`List projects (includes needs_attention flag)
show <id>Project details + recent events
stop <id>Stop project, send STOP instruction
archive <id>Archive completed project
log <id> <event> [--step N]Log event (STEP_BEGIN, CHECKPOINT, BLOCKED, etc.)
heartbeat <id>Update alive timestamp
block <id> --reason "..."Mark blocked, needs input
complete <id>Mark done
status <id> [--json]Current state summary
context <id> [--last N]Truncated context for agent prompts
instruct <id> "text"Send instruction
pending <id>List unacked instructions
ack <id> [--all]Acknowledge instructions
check-stop <id>Exit code: 0=stop, 1=continue
`audit <id> --verdict pass\drift`Log audit result

Event Types

STARTED, STEP_BEGIN, STEP_COMPLETE, CHECKPOINT, BLOCKED, UNBLOCKED, AUDIT_PASS, AUDIT_DRIFT, HEARTBEAT, DONE, STOPPED, TIMEOUT

Integration Pattern

Spawning a research agent

1. research init <project> --objective "..."
2. sessions_spawn with task including:
   - Project ID and objective
   - Instructions to use research CLI for state
   - Check stop signal before each step
   - Log progress with heartbeat
3. Heartbeat monitors: research list --json | check needs_attention
4. Send instructions via: research instruct <project> "..."

Agent loop (in spawned agent)

while research check-stop $PROJECT; [ $? -eq 1 ]; do
  research pending $PROJECT --json  # Check instructions
  research log $PROJECT STEP_BEGIN --step $STEP
  # ... do work ...
  research log $PROJECT STEP_COMPLETE --step $STEP
  research heartbeat $PROJECT
  STEP=$((STEP + 1))
done
research complete $PROJECT

Attention Detection

research list --json includes needs_attention: true when:

  • Last event is BLOCKED
  • Has unacked URGENT or STOP instructions
  • Heartbeat stale (>5 min since last HEARTBEAT event)
  • Last audit was AUDIT_DRIFT

Database

SQLite at ~/.config/research-tracker/research.db (WAL mode, append-only events).

Run research db migrate after install. Schema auto-migrates on first use.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

71.05%
按下载量换算24,119

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

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 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。

来源信息

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