moltbook-firewall_skill

This skill protects Moltbook agents from prompt injections and malicious content by scanning and blocking suspicious interactions.
  • Python

2.5k

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill moltbook-firewall

  • _meta.json294 B
  • README.md2.3 KB
  • SKILL.md3.3 KB

Overview

This skill provides a defensive firewall for AI agents operating on Moltbook-style platforms. It scans incoming posts, comments, and skill requests to detect prompt injection, social engineering, malicious code, and data-exfiltration attempts. The goal is to block dangerous content, flag suspicious items for review, and allow only safe content to reach the agent.

How this skill works

Before the agent processes any platform content, the skill inspects text, code blocks, URLs, and metadata against a set of threat patterns and a trusted-sources whitelist. It classifies content as SAFE, SUSPICIOUS, or BLOCKED and returns the classification with details. Integration points include a pre-processing scan step, logging for suspicious items, and hard blocking for high-confidence threats.

When to use it

  • Scan all user-generated content before any agent action or reply.
  • Inspect incoming skill or code requests that reference external URLs or executables.
  • Validate messages that contain system-like formatting, embedded commands, or code blocks.
  • Protect agents handling sensitive tasks, credentials, or privileged data.
  • Use as part of any automated pipeline that can execute or install third-party skills or scripts.

Best practices

  • Keep the threat pattern list and trusted-sources whitelist up to date as new vectors appear.
  • Treat SUSPICIOUS results as actionable alerts: log, notify a human reviewer, and limit automated responses.
  • Never allow BLOCKED content to be processed, executed, or installed by the agent.
  • Prefer explicit, minimal privilege when handling external resources; require an approval step for any code execution.
  • Regularly audit logs to identify recurring patterns and add them to detection rules.

Example use cases

  • Pre-scan social posts and comments on Moltbook before generating replies or running user-supplied code.
  • Checkpoint installation requests for third-party skills by scanning manifest URLs and code snippets.
  • Detect and block prompt injection attempts disguised as system messages or JSON/XML payloads.
  • Prevent accidental exfiltration by blocking requests that ask for API keys, system prompts, or credential files.
  • Flag urgent or authority-claiming messages for human review instead of automatic compliance.

FAQ

SAFE means content passed checks and can be processed. SUSPICIOUS indicates potential risk that should be logged and reviewed; proceed cautiously. BLOCKED means the content is unsafe and must not be processed or executed.

How do I update detection patterns or the whitelist?

Maintain patterns and trusted sources via the provided pattern files and scripts. Add new patterns when you observe novel attacks and update the whitelist for vetted skill sources and trusted agent accounts.

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