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northstar-exam

Trust checkpoint for AI-generated code, agent reports & embodied-AI artifacts — the exam hall for LLM output. Solves LLM hallucination with programmatic verification: four-layer statistical exams, invariant examiner, conclusion anchors. No LLM self-evaluation — deterministic verdicts.

PluginAI ModelsDeveloperCode review

Verification

L1 · Found

stale

Risk

Out of scope

Health

Stable

Trust

Unrated

Install verification: sandbox install failed (L4) · tested on dsh 0.1.1-rc.2 · last checked 08-23Install verification details →

What it doesAI

Trust checkpoint for AI-generated code and reports, providing deterministic verification to prevent LLM hallucination.

Four-layer statistical exams
Invariant examiner for code & reports
Deterministic verdicts, no LLM self-evaluation

aiAIcode-reviewAI

Capability tags are AI-inferred or rule-extracted from the README (see badge) — vocabulary-limited, not install-verified. AI = inferred; README = literal keyword from the readme.

Installation

dsh plugin --profile web add github:sisyphus-iambe/northstar-exam

security scan passed · default branch source

Install method: GitHub · sandbox install failed (L4) · verified on dsh 0.1.1-rc.2

Verification & Compatibility

Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.

External credentials (plugin-level): none detected

Install compatibility matrix (rows = plugin versions〔latest 5〕, columns = dsh versions〔latest 5〕)

At-a-glance → evidence in the cards below

plugin ＼ dsh	dsh 0.1.1-rc.2
v0.1.0	·

Install compatibility (by plugin version, dsh versions within)

Legend:✓ L5 runtime verified○ ecosystem plugin◼ ecosystem app✗ failed

v0.1.0github2026-08-24

https://github.com/sisyphus-iambe/northstar-exam

No runtime install test for this version (static scan only) — compatibility unknown, never assumed.

Only the latest 3 published versions are shown; source-snapshot (commit hash) groups, unstated groups and older versions are omitted — the full archive stays in the data layer (snapshot/unstated groups appear only when a plugin has no published version).

Author badges

Embed the official badges in your README to showcase security & install-test status:

Security Report

Automated static scan, not manual review.

DSH.SO VETPASSEDcf300b

Security reviewAutomated review · daily

PASSED

Vet static analysis found no suspicious behavior — verdict is clean.

0 critical·0 high·0 medium

Version binding

plugin version—

scanned versioncf300b97268bgit2026-08-25

current versionv0.1.0version moved on

vet verdictclean · git

Vet is an AST static scan (npm artifact or git source).

Disclaimer: automated static analysis, not a security guarantee. Always review what you install.

Risk details

No critical or warning findings.

Activity

Last commit 2026-08-20 · activity: Stable

• Repo created: 2026-08-11

• Stars: ★ 0 · Forks: 0

• Health: Stable — committed within 90 days

Source

GitHub: github.com/sisyphus-iambe/northstar-exam

Plugin notes

What is the northstar-exam DeepSeek Harness plugin?

northstar-exam is a DeepSeek Harness plugin maintained by @sisyphus-iambe. It is cataloged on dsh.so as a AI Models plugin for Code review tasks, with a public GitHub source, declared install command, and automated static security scan.

How do I install northstar-exam?

Run dsh plugin --profile web add github:sisyphus-iambe/northstar-exam in a DeepSeek Harness (dsh) environment. The command is parsed from the plugin manifest, but its install spec is not yet verified (L3); sandbox install and runtime testing have not passed.

How does the security scan relate to a manual audit?

The scan is automated static analysis of the repository source — a scalable first line of defense that can produce false positives and miss context; it is not a manual security audit. Before using a plugin, review the repository and installed permissions, and combine the scan with the verification level (L4/L5) and health signals.

"DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis."
— DeepSeek Harness README

Sources: GitHub repository · DeepSeek Harness README · security scan data · Maintained by dsh.so · Last updated 2026-09-26