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Show HN: Lucin -static analysis for AI agents with published false-negative list

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Show HN: Lucin -static analysis for AI agents with published false-negative list
TL;DR · WeSearch summary

SECURITY FOR AI AGENTS Your agent can be talked into anything. Lucin flags this path as AG-TRIFECTA, severity critical. read_email query_customers __llm__ post_webhook SCANNING TOOL BODIES… | AG-TRIFECTA · CRITICAL ONE MODEL, THREE WAYS TO USE IT Most scanners guess. One model of the agent — the information-flow graph — used three ways.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,384 of its stories.

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Lucin
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Source · retrieval · rights · ranking — open for full record
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Record

Original publisherLucin
Canonical URLhttps://lucin.pages.dev/
Publication timeMon, 03 Aug 2026 15:03:08 +0000
Retrieval time2026-08-03T15:15:41.917Z
Last seen2026-08-03T15:15:41.917Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusteroEuo6B95XKyQ · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

SECURITY FOR AI AGENTS Your agent can be talked into anything. Lucin shows you what that costs. Other scanners read tool names and guess. Lucin reads the code inside every tool your agent can call and traces the exact path from a poisoned prompt to your data leaving the building — then hands you the cut that closes it. $ pip install lucin Copy See what it prints → MIT · Python 3.10+ · no API key · your code never leaves your machine Agent information-flow graph read_email and query_customers both flow into the language model, which reaches post_webhook — an external sink. Lucin flags this path as AG-TRIFECTA, severity critical. read_email query_customers __llm__ post_webhook SCANNING TOOL BODIES… | AG-TRIFECTA · CRITICAL ONE MODEL, THREE WAYS TO USE IT Most scanners guess. Lucin proves.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Lucin.

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