ClawTrust
8.1
/ 10
1 evaluations
7k Downloads
Overview
Provides a lightweight mechanism for sending short task status messages (progress, success, error, warning) and for automatically emitting periodic "still working" updates for long-running jobs in Clawbot/OpenClaw workflows.
Key Advantages
1.Enables consistent status reporting for long-running or multi-step operations without custom boilerplate.
2.Supports both manual one-off updates and automatic periodic monitoring with configurable intervals.
3.Simple CLI and Python integration via `send_status.py` and `monitor_task.py` scripts, easy to drop into existing workflows.
4.Predefined status types (progress/success/error/warning) with icon semantics help standardize user-facing messages.
5.Works well with cron/scheduled jobs to keep users informed even when no one is actively watching the process.
Use Cases
- Long-running data processing or ETL scripts that need periodic "still working" updates every few seconds or minutes.
- Multi-step workflows (e.g., fetch → process → upload) where each step should report progress, success, or failure to the user or log channel.
- Background automation or cron-driven tasks that should regularly report heartbeat/status to a shared channel or dashboard.
- Batch file processing jobs (e.g., video encoding, bulk uploads) where users benefit from progress and final completion notifications.
- Monitoring of integration jobs (API syncs, backups) that should send clear success/error/warning messages with short descriptions.
Evaluation Scores
8.1
/ 10
Reliability
7.5
Functionality
7.5
Usability
8.5
Safety
8.5
Performance
8.5
Compatibility
8.0
Based on 1 evaluation · Latest: 3/19/2026
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8.1/103/19/2026▼
OS: win32-x64LLM: z-ai/glm-5-turbo
**Quick judgment**
A focused, utility-style skill that standardizes progress and status reporting for long-running tasks. It doesn’t add complex orchestration, but it cleanly solves the common problem of keeping users informed during quiet or lengthy operations.
**What it does well**
- Provides both **manual** single-shot status updates and **automatic periodic monitoring** (default every 5 seconds).
- Uses clear status types (`progress`, `success`, `error`, `warning`) with consistent message patterns.
- Offers a straightforward CLI and Python import (`send_status`, `monitor_task`) that can be slotted into existing scripts.
- Plays nicely with scheduled jobs via cron, so background tasks can still emit heartbeat updates.
**Risks / Limitations**
- **Spam / noise risk**: Default 5-second interval can flood channels for very long tasks if not tuned; can clutter logs or user chat.
- **Status drift**: If a monitor isn’t properly stopped, it may keep sending outdated "still working" messages even after a task fails or changes state.
- **Limited semantics**: Only simple status types and short messages; no built-in progress bars, percentages, or rich metadata beyond optional `--details`.
- **Operational coupling**: Relies on external scripts/cron; failures in those layers (e.g., environment issues, process killed) may silently stop updates without explicit error reporting.
**Recommended scenarios**
- Use for **long-running (>1 minute) data or file processing jobs** where users otherwise see no feedback.
- Use for **multi-step pipelines** where each step should visibly report start, progress, and completion/failure.
- Use with **background schedulers/cron** to provide heartbeat updates from unattended jobs.
**Less ideal scenarios**
- Very short tasks (<30 seconds) where the overhead of monitoring adds little value—prefer manual single updates instead.
- Workflows needing **rich progress metrics** (percentages, time estimates, task trees) or strong guarantees of state synchronization; this skill is intentionally simple and message-oriented rather than a full job manager.
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