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tabtabtabtab 搜索

Agent Skill

tabtab 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

4,529

周安装

185

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下载量

1,450
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:tabtab(tabtab 搜索)
来源仓库:https://github.com/bjwswang/tabtab
安装命令:
openclaw skills install tabtab
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 tabtab

简介

用于在沙盒环境中运行 AI 驱动的多代理协作任务,如写作、研究与总结。

  • 提供总代理功能,协调子代理分工,支持复杂工作流的并行处理。
  • 通过模块化设计实现任务分解与结果聚合,适合长期项目协作。
  • 部署前需配置沙盒环境参数,确保各代理间通信安全与隔离性。
  • tabtab 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
tabtab
description
|
metadata
category
integration,automation,api,data-analysis,research,scraping
required_env
TABTAB_API_KEY
optional_env
TABTAB_BASE_URL
dependencies
curl,jq,stat

TabTab Skill

Overview

The TabTab OpenPlatform exposes REST endpoints under /open/apis/v1/ that let you drive TabTab's multi-agent platform programmatically. Every request must carry an API Key in the Authorization header.

Authorization: Bearer sk-<32-hex-chars>

The API Key is obtained from the KMS page(https://tabtabai.com/api-key) in TabTab settings and stored as environment variable TABTAB_API_KEY.


Configuration — Set environment variables

Recommended: write to scripts/env (persists across sessions, not in shell history)

cat > "$(dirname "$0")/scripts/env" <<'EOF'
TABTAB_API_KEY="sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
TABTAB_BASE_URL="https://tabtabai.com"   # optional
EOF
chmod 600 "$(dirname "$0")/scripts/env"

All scripts automatically source scripts/env on startup if the file exists — no further setup needed.

Security: chmod 600 ensures only you can read the file. Add scripts/env to .gitignore to prevent accidental commits: ``bash echo "skills/tabtab/scripts/env" >> .gitignore ``

Alternative: export in shell session (lost on terminal close)

export TABTAB_API_KEY="sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
export TABTAB_BASE_URL="https://tabtabai.com"  # optional
Warning: Commands typed with the key inline (e.g. export TABTAB_API_KEY="sk-...") are saved to shell history (.bash_history / .zsh_history). Prefer the scripts/env file approach above, or set the key via a password manager / secrets tool that avoids writing to history.

Verify configuration

echo "BASE_URL : ${TABTAB_BASE_URL:-https://tabtabai.com}"
echo "API_KEY  : ${TABTAB_API_KEY:0:8}…"  # print only first 8 chars for safety

# Verify API key is valid before proceeding — stop if this fails
bash scripts/hello.sh
VariableRequiredDescription
TABTAB_API_KEYAPI Key in sk-… format obtained from KMS page
TABTAB_BASE_URLBase URL of TabTab instance (default: https://tabtabai.com)

If TABTAB_API_KEY is empty, all scripts will immediately exit with an error.

Required tools

The scripts depend on the following tools — confirm they are installed from trusted packages:

ToolPurpose
curlHTTP requests to the API
jqJSON parsing and transformation
statFile size check before upload (upload-files.sh)


Step 0 — Verify connectivity

Check API Key validity before proceeding:

bash scripts/hello.sh

Expected (200):

{
  "message": "Hello from TabTab OpenPlatform!",
  "timestamp": "2026-03-09T10:00:00+00:00",
  "user_id": "<internal-user-id>"
}

If response is 401, the key is missing, revoked, or expired — stop and report error to user.


Step 1 — Upload files (optional)

If your task requires file inputs (e.g., analyzing a spreadsheet, processing a PDF, or extracting data from images), upload them first:

Upload multiple files (batch)

FILES_INFO=$(TABTAB_FILES="file1.pdf file2.png data.xlsx" bash scripts/upload-files.sh)
echo "$FILES_INFO"

File restrictions

RestrictionValue
Max file size50MB per file
Max files per task20 files
Supported typesPDF, Word (.doc, .docx), Excel (.xls, .xlsx), PowerPoint (.ppt, .pptx), Text (.txt, .md), Images (.jpg, .jpeg, .png, .gif, .webp, .bmp, .svg, .tiff, .tif, .ico), Archives (.zip, .rar, .7z, .tar, .gz)

Note: MIME type validation is lenient. The primary validation is based on file extension. This accommodates variations in MIME type reporting across different browsers and systems.


Step 2 — Create a task

Submit a new task and get back a task_id immediately. The task is queued for agent execution; you will poll for its result in the next step.

Create task with files (using scripts)

# First upload files
FILES_INFO=$(TABTAB_FILES="report.pdf chart.png" bash scripts/upload-files.sh)
FILES_JSON=$(echo "$FILES_INFO" | jq -c '.files')

# Then create task with files
TASK_ID=$(TABTAB_MESSAGE="Analyze the attached documents" \
  TABTAB_MODE="data_analysis" \
  TABTAB_FILES="$FILES_JSON" \
  bash scripts/create-task.sh)

Create task without files

TASK_ID=$(TABTAB_MESSAGE="Research quantum computing trends" \
  TABTAB_MODE="deep_research" \
  bash scripts/create-task.sh)

Request fields

FieldTypeRequiredDescription
messagestringInitial user prompt — task goal
modestringExecution strategy (see table below)
run_modestringagent (default) or chat
paramsobjectExtra parameters, e.g. {"output": "report"}
filesarrayList of uploaded files (only effective in agent mode)

mode values

ModeWhen to use
generalOpen-ended tasks, research, writing
data_analysisCSV / Excel / database analytics
deep_researchLong-form research with web search
data_collectStructured data scraping / collection
htmlWeb page / UI generation
pptSlide deck generation
chartsChart / visualisation generation
chat_dbNatural language to SQL
flashFast single-step tasks

Expected response (201)

{
  "status": "pending",
  "task_id": "550e8400-e29b-41d4-a716-446655440000"
}

Step 3 — Poll task status

Poll until status leaves pending / running:

STATUS=$(TABTAB_TASK_ID="$TASK_ID" bash scripts/poll-task.sh)
echo "Final status: $STATUS"

For manual polling:

while true; do
  STATUS=$(TABTAB_TASK_ID="$TASK_ID" bash scripts/get-status.sh)
  echo "status: $STATUS"

  case "$STATUS" in
    completed | failed | cancelled) break ;;
    hitl)
      echo "Task is waiting for human input — check the TabTab UI."
      break
      ;;
  esac

  sleep 5
done

Status lifecycle

pending → running → completed
                  ↘ failed
                  ↘ cancelled
                  ↘ hitl  (waiting for user action in UI)

Response fields

FieldDescription
statusCurrent task status
status_messageHuman-readable detail (non-empty on failed)

Step 4 — Retrieve event log

Fetch all events for a completed (or still-running) task to inspect what the agent did:

# Get all events — stdout is the saved file path
EVENTS_FILE=$(TABTAB_TASK_ID="$TASK_ID" bash scripts/get-events.sh)
jq '.events[].event_type' "$EVENTS_FILE"

# Custom output path
EVENTS_FILE=$(TABTAB_TASK_ID="$TASK_ID" \
  TABTAB_EVENTS_FILE=/tmp/my-events.json \
  bash scripts/get-events.sh)

# Get incremental events (streaming-style)
LAST_EVENT_ID=""
while true; do
  EVENTS_FILE=$(TABTAB_TASK_ID="$TASK_ID" \
    TABTAB_FROM_EVENT_ID="$LAST_EVENT_ID" \
    bash scripts/get-events.sh)

  # Update cursor — read from the saved file
  NEW_LAST=$(jq -r '.events[-1].event_id // empty' "$EVENTS_FILE")
  [ -n "$NEW_LAST" ] && LAST_EVENT_ID="$NEW_LAST"

  # Stop when task is done
  STATUS=$(TABTAB_TASK_ID="$TASK_ID" bash scripts/get-status.sh | jq -r '.status')
  case "$STATUS" in completed | failed | cancelled) break ;; esac

  sleep 3
done

Key event types

event_typeMeaning
user_inputOriginal user prompt
agent_state_changeAgent phase transition (planning → executing → done)
tool_call_itemA complete tool call with input + output
message_output_itemAgent text output / final answer
think_output_itemAgent internal reasoning (if thinking mode enabled)
token_usageLLM token consumption for one step
task_final_usageAggregate token + tool usage for the whole task
hitl_operationHuman-in-the-loop pause/resume event

Step 5 — Download sandbox output

Download the working directory of a task as a ZIP file:

# Download entire sandbox
OUT=$(TABTAB_TASK_ID="$TASK_ID" bash scripts/download.sh)
echo "Saved to: $OUT"

# Download a specific sub-directory only
OUT=$(TABTAB_TASK_ID="$TASK_ID" TABTAB_DIR="output" \
  TABTAB_OUT="/workspace/result.zip" \
  bash scripts/download.sh)
echo "Saved to: $OUT"

The response is a Content-Type: application/zip streaming file.


Step 6 — Terminate a running task (optional)

Send a stop signal to cancel a running task:

TABTAB_TASK_ID="$TASK_ID" bash scripts/terminate-task.sh

The signal is asynchronous — poll status until it becomes cancelled.


Helper scripts

The skill ships ready-to-use shell scripts under scripts/. Use these scripts for most operations — they handle authentication, JSON parsing, and error handling automatically.

Quick reference

ScriptPurpose
hello.shTest API connectivity
upload-files.shUpload multiple files in batch
create-task.shCreate a new task
list-tasks.shList all tasks with pagination
get-status.shGet current status of a task
get-events.shGet event log for a task
poll-task.shPoll until task finishes (blocking)
download.shDownload sandbox output as ZIP
terminate-task.shCancel a running task

Complete end-to-end example (reference)

This example shows the complete flow using both scripts and direct curl commands (for reference). For actual usage, prefer the scripts shown above.

# ── Config ─────────────────────────────────────────────
# Set these in your shell session before running (never store secrets in a file):
# export TABTAB_API_KEY="sk-..."
# export TABTAB_BASE_URL="https://tabtabai.com"  # optional
BASE="${TABTAB_BASE_URL:-https://tabtabai.com}"
KEY="$TABTAB_API_KEY"

# ── 0. Verify ──────────────────────────────────────────
bash scripts/hello.sh

# ── 1. Upload files ───────────────────────────────────
FILES_INFO=$(TABTAB_FILES="report.pdf chart.png" bash scripts/upload-files.sh)
FILES_JSON=$(echo "$FILES_INFO" | jq -c '.files')

# ── 2. Create task with files ───────────────────────
TASK_ID=$(TABTAB_MESSAGE="Analyze the sales data in attachments and generate trend report" \
  TABTAB_MODE="data_analysis" \
  TABTAB_FILES="$FILES_JSON" \
  bash scripts/create-task.sh)
echo "Created task: $TASK_ID"

# ── 3. Poll ────────────────────────────────────────────
STATUS=$(TABTAB_TASK_ID="$TASK_ID" bash scripts/poll-task.sh)

# ── 4. Download output ─────────────────────────────────
[ "$STATUS" = "completed" ] \
  && TABTAB_TASK_ID="$TASK_ID" bash scripts/download.sh > /dev/null 2>&1 \
  && echo "Download complete"

Error handling

All endpoints return a consistent error body on failure:

{
  "code": 401,
  "err_code": "30001",
  "message": "unauthorized. 30001",
  "status": "error"
}
HTTPerr_codeMeaning
400400Invalid file type or size exceeds limit
40130000API Key missing or invalid format
40130001API Key revoked
40130002API Key expired
403403Task belongs to a different user
404404Task not found
50050000Internal server error — retry or contact support

Always check the HTTP status code and err_code before proceeding. Do not retry 401/403/404 errors automatically — they require user action.


Best Practices

  1. Always use scripts: They handle authentication, JSON parsing, and error handling automatically
  2. Verify connectivity first: Run bash scripts/hello.sh after setting credentials — if it fails, stop and fix the key before proceeding
  3. Export env vars in your shell session: Set TABTAB_API_KEY (and optionally TABTAB_BASE_URL) via export before using any script. Never store secrets in plain-text files inside the skill directory.
  4. Check response codes: Scripts return proper exit codes; check $? after each call
  5. Capture stderr for progress: Scripts write progress to stderr, output to stdout for capture
  6. Use poll-task.sh for blocking: It waits until completion, simpler than manual polling loops

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

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按下载量换算1,016

安全审计

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通过

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通过

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。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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