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nukon-pi-detect
Tiny, offline prompt-injection scanner for CI pipelines
Most teams shipping LLM features have no automated check for prompt-injection attacks in CI. nukon-pi-detect fixes that. 48 curated patterns across 5 attack categories: classic injection, jailbreaks, delimiter escapes, Unicode smuggling, and indirect injection. Deterministic regex + Unicode codepoint checks. No ML, no network, no API keys. Zero runtime dependencies. Sub-millisecond scans. Exit code 2 on MALICIOUS - fails CI builds by default. HTML report output, JSON for pipelines. Apache 2.0.
Built this because every team I talked to shipping LLM features was testing for code bugs but not prompt-injection attacks. They were relying on the model's built-in safety. That's not a plan.
The most interesting category to build was Unicode smuggling - specifically tag characters in U+E0000-U+E007F. They're completely invisible but your LLM can read them. Almost no scanner handles this.
Happy to answer questions about any of the pattern choices or the confidence scoring approach.
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About nukon-pi-detect on Product Hunt
“Tiny, offline prompt-injection scanner for CI pipelines”
nukon-pi-detect was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #80 on the daily leaderboard. Most teams shipping LLM features have no automated check for prompt-injection attacks in CI. nukon-pi-detect fixes that. 48 curated patterns across 5 attack categories: classic injection, jailbreaks, delimiter escapes, Unicode smuggling, and indirect injection. Deterministic regex + Unicode codepoint checks. No ML, no network, no API keys. Zero runtime dependencies. Sub-millisecond scans. Exit code 2 on MALICIOUS - fails CI builds by default. HTML report output, JSON for pipelines. Apache 2.0.
nukon-pi-detect was featured in Open Source (68.4k followers), Developer Tools (511.7k followers), Artificial Intelligence (467.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 188.4k products, making this a competitive space to launch in.
Who hunted nukon-pi-detect?
nukon-pi-detect was hunted by Akhil. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Akhil