Using Jev as an LLM Linter for OMP (Pi) Agent
OMP Semantic Policy An Oh My Pi (OMP) plugin that checks agent actions against your project instructions and authorization. TypeSafe AI provides semantic evaluation when remote checks are enabled. How it works Project onboarding Action evaluation A policy gate, not a sandbox.
- ▪OMP Semantic Policy An Oh My Pi (OMP) plugin that checks agent actions against your project instructions and authorization.
- ▪TypeSafe AI provides semantic evaluation when remote checks are enabled.
- ▪How it works Project onboarding Action evaluation A policy gate, not a sandbox.
2 outlets in our directory ran this story, first to last over 2 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ I made an LLM using 521 Jev models — ChatJEVs
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,890 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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/goulinkh/omp-semantic-policy |
| Publication time | Mon, 21 Sep 2026 15:52:56 +0000 |
| Retrieval time | 2026-09-21T16:03:49.647Z |
| Last seen | 2026-09-21T16:03:49.647Z |
| 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 | _orL4590Enu- · 2 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
OMP Semantic Policy An Oh My Pi (OMP) plugin that checks agent actions against your project instructions and authorization. TypeSafe AI provides semantic evaluation when remote checks are enabled. How it works Project onboarding Action evaluation A policy gate, not a sandbox. Uncertainty is automatically accepted; grounded denials block. Get started Requires OMP 18.1.19 or newer. Remote evaluation also requires a TypeSafe AI token and explicit consent. Add the marketplace and install the plugin: omp plugin marketplace add goulinkh/omp-semantic-policy omp plugin install omp-semantic-policy@goulinkh Restart OMP inside a Git worktree, then: /login typesafe-ai /policy consent on /policy status Projects onboard automatically. Use TYPESAFE_API_KEY instead of /login if preferred.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.