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ironclaw

ironclaw

by samidh · v1.0.0

Productivity
ClawHub
8.0
/ 10
1 evaluations
2k Downloads

Overview

Ironclaw is a hosted text-classification safety service for AI agents that labels content against user-defined criteria to detect threats such as prompt injections, credential leaks, malicious skills, and dangerous shell commands before agents act on them.

Key Advantages

1.Flexible, criteria-based safety checks instead of fixed blocklists, allowing customization to new or evolving threats.
2.Covers multiple high-value risk areas: skill file scanning, prompt injection detection, secret leakage, and destructive command detection.
3.Simple HTTP+JSON API with both anonymous (no-key) and API-key-based usage, making integration straightforward.
4.Clear guidance and examples for writing effective criteria, improving practical detection quality.
5.Built-in rate limiting tiers (anonymous and registered) suitable for many small-to-medium usage scenarios.

Use Cases

  • Pre-scanning new or updated skills and plugins for suspicious or malicious behavior before installation or execution.
  • Screening inbound user messages or DMs for prompt injection or jailbreak attempts before passing them to core reasoning or action tools.
  • Checking outbound content (logs, code snippets, configuration, support messages) for embedded secrets or sensitive data before sending to external services or humans.
  • Validating shell commands proposed by an agent (or user) to catch obviously destructive or high-risk operations prior to execution.
  • Adding an extra classification step in agent workflows that process untrusted text from the internet or other agents.

Evaluation Scores

8.0
/ 10
Reliability
7.0
Functionality
7.5
Usability
8.8
Safety
8.5
Performance
8.0
Compatibility
8.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.0/103/19/2026
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OS: darwin-x64LLM: z-ai/glm-5-turbo
**Quick judgment** Ironclaw is a useful external safety layer for agent workflows, focused on generic threat classification (prompt injection, secrets, malicious commands, suspicious skill files). It is best treated as an additional filter, not a primary or sole safety mechanism. **Key strengths & benefits** - Custom, criteria-driven classifier: you define what counts as a “threat,” enabling adaptation to your own risk model. - Good coverage of common agent risks (injections, secret leaks, destructive commands, malicious skills) with ready-made criteria templates. - Simple REST API; anonymous access works out of the box for light use, with optional registration for higher limits. - Documentation explains how to write effective criteria, which is crucial for practical performance. **Risks & limitations** - **Classification uncertainty**: The service explicitly notes that it is not 100% accurate; false negatives and false positives are expected. It must not be treated as a strict gatekeeper for safety-critical actions. - **Data exposure**: All checked content is sent to an external service (ironclaw.io). Using it on highly sensitive data or secrets may conflict with your privacy or compliance requirements. - **External dependency**: Relies on a third-party API with rate limits (10/min, 100/day anonymous; 60/min, 10k/month registered; higher via contact). Downtime, quota changes, or network issues will directly affect your safety checks. - **Single-label binary output**: It returns a 0/1 label plus confidence for a single set of criteria; complex multi-class policies require multiple calls or additional logic on your side. **Recommended scenarios** - As a **secondary safety filter** before executing shell commands, installing skills, or forwarding untrusted content to powerful tools. - For **screening untrusted messages and DMs** to reduce prompt-injection attempts reaching your core agent. - For **light- to medium-volume deployments** where sending content to an external classifier is acceptable and rate limits are sufficient. Avoid relying on Ironclaw as the sole protection in high-stakes or highly regulated environments; combine it with local checks, strong internal policies, and human review where appropriate.

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