Prompt-Injection-Firewall-for-LLM-Agents: worth filling in, since recruiters see it first. For example: Middleware that detects and blocks indirect prompt injection against LLM agents, with an attack benchmark and evaluation harness.
Pillar = mean of 3 scaled values = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
[](https://agenttape.com/agents/prompt-injection-firewall-for-llm-agents)
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