An Open-Source Static AI Capability and Risk Analyzer – First Week Report
SafeAI — Static AI Capability & Risk Analyzer SafeAI is a static analysis tool that scans AI application source code for security risks, capability exposure, and governance gaps. It runs entirely offline, never executes agents or calls LLMs, and integrates into CI/CD pipelines. 🌐 safeai-analyzer.ikaruscareer.com — project landing page Why SafeAI? Traditional application security tools (SAST, SCA, IaC scanning) are not designed for AI agent systems.
- ▪SafeAI — Static AI Capability & Risk Analyzer SafeAI is a static analysis tool that scans AI application source code for security risks, capability exposure, and governance gaps.
- ▪It runs entirely offline, never executes agents or calls LLMs, and integrates into CI/CD pipelines. 🌐 safeai-analyzer.ikaruscareer.com — project landing page Why SafeAI?
- ▪Traditional application security tools (SAST, SCA, IaC scanning) are not designed for AI agent systems.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,275 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/ikaruscareer/SafeAI |
| Publication time | Sun, 26 Jul 2026 20:13:05 +0000 |
| Retrieval time | 2026-07-26T20:18:19.012Z |
| Last seen | 2026-07-26T20:18:19.012Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | _CYlOHPVD2IF |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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
SafeAI — Static AI Capability & Risk Analyzer SafeAI is a static analysis tool that scans AI application source code for security risks, capability exposure, and governance gaps. It runs entirely offline, never executes agents or calls LLMs, and integrates into CI/CD pipelines. 🌐 safeai-analyzer.ikaruscareer.com — project landing page Why SafeAI? Traditional application security tools (SAST, SCA, IaC scanning) are not designed for AI agent systems. AI applications introduce new risk surfaces: Prompt injection — untrusted input flows into model prompts Agent tool misuse — agents with filesystem, shell, or database access Capability sprawl — frameworks expose capabilities without visibility MCP exposure — Model Context Protocol endpoints and tools Governance gaps — missing authentication,…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.