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▼
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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