message-chunker

Security checks across static analysis, malware telemetry, and agentic risk

Overview

This instruction-only skill coherently tells the agent to split long outgoing messages, with minor review points around automatic multi-message sending and an unspecified failure queue.

This skill appears safe for its stated purpose of splitting long messages. Before installing, be aware that it may send one response as several messages and may queue failed chunks; avoid using it for highly sensitive content unless your OpenClaw environment gives you clear control over retries and retained failures.

Static analysis

No static analysis findings were reported for this release.

VirusTotal

VirusTotal findings are pending for this skill version.

View on VirusTotal

Risk analysis

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

A single long message may be posted as several messages, which could matter in public or sensitive chats.

Why it was flagged

The skill instructs the agent to automatically split a long response and send additional continuation messages. This matches the skill purpose, but it affects outgoing messaging behavior.

Skill content
在回复长消息时,Agent会自动判断并分段 ... # 系统自动发送第2条
Recommendation

Use it when multi-part sending is desired, and review destination and content before asking the agent to send sensitive or public messages.

What this means

If a failed long message contains private information, parts of it could be retained in an unspecified queue.

Why it was flagged

The skill says failed chunks should be recorded to a failure queue. That is related to retry handling, but the artifacts do not define retention, storage location, or whether sensitive message content is excluded.

Skill content
重试机制 - 分段后仍失败则记录到失败队列
Recommendation

Avoid sending highly sensitive content unless you understand how the host agent handles failed-message queues, or configure the workflow to avoid retaining failed chunks.