I pointed my AI security plugin at my own prod app – it refused to invent a bug
securitymaxxing Application security for Claude Code. Audit commands that prove their findings, plus skills that make Claude write secure code before you ask. You read it twice, find nothing real, and never run it again — so the one endpoint that does leak your customers' addresses ships anyway.
- ▪securitymaxxing Application security for Claude Code.
- ▪Audit commands that prove their findings, plus skills that make Claude write secure code before you ask.
- ▪You read it twice, find nothing real, and never run it again — so the one endpoint that does leak your customers' addresses ships anyway.
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Story provenance
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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/kenjichristopherv-del/securitymaxxing |
| Publication time | Wed, 12 Aug 2026 13:36:46 +0000 |
| Retrieval time | 2026-08-12T13:41:36.930Z |
| Last seen | 2026-08-12T13:41:36.930Z |
| 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 | TS6KNtX1h6oG · 1 stories |
| 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
securitymaxxing Application security for Claude Code. Audit commands that prove their findings, plus skills that make Claude write secure code before you ask. Built for two people: the engineer who knows what an IDOR is and wants a rigorous second pair of eyes, and the builder who shipped something with AI help and needs a straight answer to "is this safe to put on the internet?" Why this exists Ask any AI to "check my code for security issues" and you get a page of confident, plausible, mostly-wrong findings. Missing headers on a JSON API. SQL injection in a parameterized query. A CVE number that doesn't exist. You read it twice, find nothing real, and never run it again — so the one endpoint that does leak your customers' addresses ships anyway. The problem isn't the model.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.