Skills tabtab

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bjwswang/tabtab" ~/.claude/skills/openclaw-skills-tabtab && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bjwswang/tabtab" ~/.openclaw/skills/openclaw-skills-tabtab && rm -rf "$T"
manifest: skills/bjwswang/tabtab/SKILL.md
source content

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:

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_KEY
API Key in
sk-…
format obtained from KMS page
TABTAB_BASE_URL
Base 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
curl
HTTP requests to the API
jq
JSON parsing and transformation
stat
File 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
message
stringInitial user prompt — task goal
mode
stringExecution strategy (see table below)
run_mode
string
agent
(default) or
chat
params
objectExtra parameters, e.g.
{"output": "report"}
files
arrayList of uploaded files (only effective in
agent
mode)

mode
values

ModeWhen to use
general
Open-ended tasks, research, writing
data_analysis
CSV / Excel / database analytics
deep_research
Long-form research with web search
data_collect
Structured data scraping / collection
html
Web page / UI generation
ppt
Slide deck generation
charts
Chart / visualisation generation
chat_db
Natural language to SQL
flash
Fast 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
status
Current task status
status_message
Human-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_type
Meaning
user_input
Original user prompt
agent_state_change
Agent phase transition (planning → executing → done)
tool_call_item
A complete tool call with input + output
message_output_item
Agent text output / final answer
think_output_item
Agent internal reasoning (if thinking mode enabled)
token_usage
LLM token consumption for one step
task_final_usage
Aggregate token + tool usage for the whole task
hitl_operation
Human-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.sh
Test API connectivity
upload-files.sh
Upload multiple files in batch
create-task.sh
Create a new task
list-tasks.sh
List all tasks with pagination
get-status.sh
Get current status of a task
get-events.sh
Get event log for a task
poll-task.sh
Poll until task finishes (blocking)
download.sh
Download sandbox output as ZIP
terminate-task.sh
Cancel 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"
}
HTTP
err_code
Meaning
400
400
Invalid file type or size exceeds limit
401
30000
API Key missing or invalid format
401
30001
API Key revoked
401
30002
API Key expired
403
403
Task belongs to a different user
404
404
Task not found
500
50000
Internal 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