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Skills/Security
orchestra-research avatar

Prompt Guard

orchestra-research/ai-research-skills

Meta's 86M parameter classifier that catches prompt injection and jailbreak attempts before they hit your LLM.

installs
954
GitHub stars
13.9K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add orchestra-research/ai-research-skills --skill prompt-guard --agent claude-code

Installs into .claude/skills of the current project.

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What it does

Returns three scores: benign, injection (embedded instructions in third-party data), and jailbreak (direct override attempts). Runs in under 2ms on GPU, works across 8 languages, and hits 99%+ true positive rate with sub-1% false positives. The dual-mode design is smart: use stricter thresholds (0.5) for user inputs, looser ones (0.3) for RAG documents and API responses. Batch processing support makes it practical for filtering retrieved docs at scale. One caveat: legitimate security research queries can trigger false positives, so you'll want context-aware thresholds for trusted users. Best layered with content moderators like LlamaGuard rather than used as your only defense.

Files

Select a file.

Details

Repository
github.com/orchestra-research/ai-research-skills
Categories
Security, DevOps & CI/CD, AI & Agent Building, Data Science & ML, Release Management, Automation & Workflows
First seen
Jun 3, 2026

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