据 AlphaMoat 统计,截至 2026-09,Research Tracker 累计下载 4,152 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 2,421 位,在「AI 智能体」分类(969 个)中排名第 474 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 135 | 3,905 | 1 | - |
| SkillHub ↗ | 135 | 4,152 | 1 | — |
各平台的计数口径不同,统计时间不一致。
该CLI支持建立研究项目、记录步骤进度、发送指令或停止信号、查看状态与上下文,并归档或完成项目。事件日志采用追加方式,数据库保存在本地。它依赖第三方CLI,安装前应核实来源并优先使用固定版本;适合需要持续项目状态和交接管理的长期研究工作,不是普通一次性搜索的必需工具。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,152 | — | 1 |
| 2026-08 | 3,871 | +3.0% | 1 |
| 2026-07 | 3,759 | +6.0% | 1 |
| 2026-06 | 3,546 | +2.8% | 1 |
| 2026-05 | 3,449 | — | 1 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- 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
```bash
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
```bash
research init market-q1 --name "Q1 Market Analysis" --objective "Analyze competitor pricing and positioning"
```
### As the research agent — log progress
```bash
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)
```bash
research status market-q1 --json
research context market-q1 --last 5 # Truncated context for prompts
```
### Send instructions to running agent
```bash
research instruct market-q1 "Focus on enterprise segment" --priority URGENT
research stop-signal market-q1 # Request graceful stop
```
### Agent checks for instructions
```bash
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
| Command | Purpose |
|---------|---------|
| `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)
```bash
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.
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。