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TypeSafe AI (Jev) adversarial reviewer and typesafe_ask tool for the omp coding agent
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- Updated Oct 2026
Repo stats from the GitHub API, cached Oct 2026.
omp plugin that runs Jev batteries over tool results, assistant messages and turn ends, gathers deterministic git evidence before each judgment, and can score stale tool output out of later model requests.
User repository on GitHub
TypeSafe AI (Jev) adversarial reviewer and typesafe_ask tool for the omp coding agent
Repo stats from the GitHub API, cached Oct 2026.
A reviewer for the omp coding agent, powered by TypeSafe AI's System One model (Jev). It follows omp's advisor pattern, a second set of eyes that watches the session as it unfolds, in one of two roles, set by role in config (default adversarial): adversarial (default): argues the other side, that the last action or claim is wrong, unverified, or incomplete.
Quoted from the project's README. Read the full README.
Watch out
Everything the reviewer judges goes to TypeSafe's API, including parts of your transcript and diffs, so read the data-leaving section before enabling it on a sensitive repo. Notes are advice and never block a tool call; only the ambiguity gate, the stop gate and two local pipeline features can change anything. Aborted-work detection is best effort and matches on omp's wording: an error phrased differently is read as a real failure and reviewed, and a review already in flight when you press Esc still finishes and may deliver its note. Reviewing failed commands depends on the result details omp 18.4 sends. A plain bun install pulls roughly 1 GB of host and tooling packages the extension never loads; bun install --production installs about 230 KB. Copy reviewed against the repository README on 2026-10-04, not from running it.
Posts from builders shipping with Jev right now.