@NMTZ-z/system-one-benchmark-lab avatar

@NMTZ-z/system-one-benchmark-lab

Ecosystem pluginAI ModelsAgent orchestrationNotifications
Verification
L5 · Ecosystem plugin
Ecosystem plugin
Risk
LowRisk
Health
Active
Trust
Silver

Install verification: Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — the L1-L5 install ladder does not rate it; the security scan still runs.Install verification details →

Data as of (UTC)

What it doesAI

Local typed decision control plane that lets small on-device models handle frequent agent routing, tiering and interrupt decisions.

  • Offloads frequent control questions from the main LLM to a local runtime
  • Ships a validated Laya Typed Decisions 421M model
  • Optional Apple Neural Engine backend with HTTP/MCP interface
aiAIagent-orchestrationAInotificationAI

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.

Trends

Four lines, four questions: total stars, stars gained this week, cumulative downloads, downloads this week. The GitHub pair comes from real-read sampling (a rotating daily shard); the npm pair from every snapshot.

GitHub stars
1★

current (registry 2026-11-11) · 3 samples (roughly every 7 days); sampled points, not a daily series

10-15 → 11-05 · 3 points

Weekly star gain
+0★

Each bar = the delta between two samples 5–14 days apart; negative bars point down. Faint bars include reconstructed points

Only 2 points (< 3): no chart yet

10-22 → 11-05 · 2 points

Cumulative downloads
—

Reconstructed backwards from the current total using daily downloads (gaps are not interpolated)

Only 0 points (< 3): no chart yet

no data yet

Weekly downloads
—

The snapshot’s last-week rolling window (official npm + npmmirror combined)

Only 0 points (< 3): no chart yet

no data yet

weekly board —total board —star weekly —

Installation

dsh plugin --profile web add github:NMTZ-z/system-one-benchmark-lab#v0.2.0

security scan passed · source release v0.2.0

Install method: GitHub · runtime test inconclusive (L5 unknown)

Verification & Compatibility○ Ecosystem plugin

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

Declared DSH compatibilityfrom package.json · peerDependencies
package manifest not collected

package manifest not collected — the declared range is unknown.

Install compatibility matrix (rows = plugin versions〔latest 5〕, columns = dsh versions〔latest 5〕)
○ Ecosystem plugin
At-a-glance → evidence in the cards below
plugin \ dshdsh 0.2.2-rc.1dsh 0.2.1-rc.5dsh 0.2.1-rc.3dsh 0.2.1-rc.2dsh 0.2.1-alpha.4
v0.2.0·····
Install compatibility (by plugin version, dsh versions within)
Legend:✓ L5 runtime verified○ ecosystem plugin◼ ecosystem app✗ failed
v0.2.0github2026-11-09

https://github.com/NMTZ-z/system-one-benchmark-lab

Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — its level reads L5 · Ecosystem plugin.

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 dsh.so badges in your README to show this plugin's automated security-scan and install-test status:

dsh.so risk badge
`[![dsh.so risk](https://cdn.dsh.so/badge/system-one-benchmark-lab.svg)](https://www.dsh.so/artifact/system-one-benchmark-lab/?ref=badge)`

dsh.so is an independent community project, not affiliated with or endorsed by DeepSeek AI. Badges are maintained by dsh.so; embed links carry a ?ref= attribution parameter.

Security Report

Two automated layers, neither a manual review: a static scan (per-plugin rule checks) and a model-driven dynamic security audit that covers only the subset static-flagged at warn or above and never executes plugin code.

system-one-benchmark-labAutomated review · daily

Static low; dynamic no conclusion (static stands) → overall low.

static low→dynamic no conclusion→overall low
vet findings0 critical·0 high
lowoverall · low
1static scan · vet primaryvet AST static analysis (npm artifact or git source)
plugin version—
scanned versionv0.2.0git2026-11-11
current versionv0.2.0same version
vet verdictclean · git

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

2model reads redacted source context · never executes plugin code

not in the dynamic queue (the queue only covers plugins whose static tier is medium or above — medium/high/critical; since 2026-10-24 entries rated low are not audited even when dsh-only rules logged warnings) — this does not mean the dynamic audit found it safe.

Rule (2026-10-28): when a dynamic conclusion exists it is authoritative (it may raise or lower the level); the static scan tier (vet primary, dsh backstop) applies only when there is none (not queued / audit failed / withdrawn). The audit never writes the exemption list (exemptions are manual only); a wrong conclusion is withdrawn by human review and the tier falls back to the static scan tier.

Disclaimer: the static scan and the dynamic security audit are both automated analysis, not a security guarantee. Always review what you install.

Activity

Last commit 2026-11-11 · activity: Active

• Repo created: 2026-09-26

• Stars: ★ 1 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/NMTZ-z/system-one-benchmark-lab

Frequently asked questions

What is @NMTZ-z/system-one-benchmark-lab?

@NMTZ-z/system-one-benchmark-lab is an ecosystem plugin listed on dsh.so: it installs with dsh plugin add but declares no dsh.bundle and mounts no plugin capability, so installing it adds no plugin functionality — use its source repository directly.

Is dsh.so or this plugin page official?

dsh.so is an independent community registry and is not affiliated with, endorsed by, or sponsored by DeepSeek AI.

How do I install @NMTZ-z/system-one-benchmark-lab?

Run dsh plugin --profile web add github:NMTZ-z/system-one-benchmark-lab#v0.2.0 in a DeepSeek Harness (dsh) environment. Note this is an ecosystem plugin: it declares no dsh.bundle and mounts no plugin capability, so installing it adds no plugin functionality — use the source repository directly. The security scan still runs.

How does the security scan relate to a manual audit?

Both layers are automated, not a manual audit. The static scan is heuristic analysis of the repository source, so it can produce false positives and miss context. The model-driven dynamic security audit only covers plugins static-flagged at warn or above, never executes plugin code, and its conclusion is authoritative when there is one (it may raise or lower the static tier); exemptions stay manual. Neither layer is an endorsement: review the repository and the permissions it asks for before installing, together with the verification level and health signals.

How fresh is the data on this page?

The data on this page is as of 2026-11-11 (UTC) — the most recent valid timestamp among the registry refresh, install verification, security scan and dynamic audit. Build time is never used as a data date.

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