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Shoofly – pre-execution security for Claude Code Cowork and OpenClaw

Shoofly – pre-execution security for Claude Code Cowork and OpenClaw

by evanvuckovic·Mar 29, 2026·3 points·0 comments

AI Analysis

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Blocks prompt injection before execution when Anthropic's filters won't.

Strengths
  • VirtioFS bridging enables sub-50ms alerts from inside isolated Cowork VMs
  • Open YAML policies let you audit and fork rules, not black boxes
  • Local SQLite audit trail tracks tool calls without sending data to cloud
Weaknesses
  • Only supports Claude Code and OpenClaw ecosystems, not generic LLM agents
  • Relies on plugin hooks that could break if upstream CLIs change
Category
Target Audience

Developers using Claude Code or OpenClaw agents

Similar To

Lakera · Snyk · Protect AI

Post Description

Anthropic says on their safety page: "these filters are not a security boundary." Snyk found 36% of ClawHub skills contain security flaws. Trend Micro documented malware being distributed through ClawHub.

These agents have shell access, file access, and connected accounts. We built Shoofly to sit in front of tool calls before they fire.

- PreToolUse / PostToolUse hooks intercept every tool call - Blocks prompt injection, credential theft, unauthorized writes, malware in tool results - Works with OpenClaw, Claude Code CLI, and Cowork / Dispatch - Open YAML policy -- read it, fork it, audit it - Free tier detects. $5/mo blocks.

The Cowork piece was the interesting part. Cowork runs Claude Code inside a full Ubuntu VM -- host hooks don't fire there. We used the plugin system with hooks/hooks.json and VirtioFS to get sub-50ms alert latency from inside the VM to host notifications.

curl -fsSL https://shoofly.dev/install.sh | bash

shoofly.dev

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