dsh-model-fix

DSH 插件：提供更好的模型使用体验，包括但不限于：多种方式填充模型参数、提升模型兼容性、记住推理级别、子智能体实时跟随模型和推理级别、AI 自主调节档位等。

PluginAI Models

Verification

L4 · Install tested

Failed

Risk

LowRisk

Health

Active

Trust

Silver

Install verification: sandbox install ok, web smoke failed (L5) · tested on dsh 0.2.1-rc.2 · last checked 10-18Install verification details →

What it doesAI

DSH plugin that auto-fills model metadata (reasoning, context, tokens, image input) for custom providers using models.dev data.

Prefills from bundled models.dev cache instantly
Async refresh updates cache and retries on failure
Auto refills on config changes; respects autoFill/allowUpdate

aiAI

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:TikaFlow/dsh-model-fix#v0.36.18

security scan passed · source release v0.36.18

Install method: GitHub · sandbox install ok, web smoke failed (L5)

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

Declared DSH compatibilityfrom package.json · peerDependenciesdeclared in 0.29.16

only the declared range >=0.1.7-rc.2

Based on 1 requirement(s) across 17 @deepseek-ai/dsh-* packages.

raw ranges

>=0.1.7-rc.2 ×17

✓ Running dsh 0.2.1-rc.2 is within the declared range — install is not blocked by version.

Footnote: the author also wrote engines.dsh = ">=0.1.7-rc.2" — DSH does not read that field (not part of the verdict).

Whether it actually runs is a separate question → see the measured matrix below (L1–L5).

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

At-a-glance → evidence in the cards below

plugin ＼ dsh	dsh 0.2.1-rc.2	dsh 0.2.1-alpha.4	dsh 0.2.1-alpha.2	dsh 0.2.0-rc.2	dsh 0.1.7-rc.2
v0.36.18	·	·	·	·	·
v0.36.15	·	·	·	·	·
v0.36.11	·	·	·	·	·
v0.36.8	·	·	·	·	·
v0.33.5	·	·	·	·	·

Install compatibility (by plugin version, dsh versions within)

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

v0.36.18github2026-10-25

https://github.com/TikaFlow/dsh-model-fix

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

v0.36.15github2026-10-24

https://github.com/TikaFlow/dsh-model-fix

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

v0.36.11github2026-10-23

https://github.com/TikaFlow/dsh-model-fix

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

v0.36.8github2026-10-22

https://github.com/TikaFlow/dsh-model-fix

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

v0.33.5github2026-10-21

https://github.com/TikaFlow/dsh-model-fix

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

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.

dsh-model-fix-2Automated 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)

Version binding

plugin versionv0.36.15dsh manifest

scanned versionv0.36.18git2026-10-24

current versionv0.36.18same version

vet verdictclean · git

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

2dynamic auditmodel 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 (2026-10-24): when a dynamic conclusion exists it is authoritative (it may raise or lower the level); without one, the static/vet fused tier applies. 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 static/vet.

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 2026-10-24 · activity: Active

• Repo created: 2026-08-16

• Stars: ★ 18 · Forks: 2

• Health: Active — committed within last 30 days

Source

GitHub: github.com/TikaFlow/dsh-model-fix

Plugin notes

What is the dsh-model-fix DeepSeek Harness plugin?

dsh-model-fix is a DeepSeek Harness plugin maintained by @TikaFlow. It is cataloged on dsh.so as a AI Models plugin, with a public GitHub source, declared install command, and automated static scan results; plugins static-flagged at warn or above also carry a model-driven dynamic security audit record.

How do I install dsh-model-fix?

Run dsh plugin --profile web add github:TikaFlow/dsh-model-fix#v0.36.18 in a DeepSeek Harness (dsh) environment. This exact command has been verified by a real install inside an isolated windows-acl sandbox (L4).

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 (it can produce false positives and miss context), and the dynamic security audit has a model read the harvested source context with secret files stripped and content redacted inline — plugin code is never executed. The dynamic audit only covers plugins static-flagged at warn or above; when it reaches a conclusion that conclusion is authoritative for the combined verdict — it may raise or lower it — and the static/vet fused verdict applies only when there is none. Exemptions stay manual: the audit never writes the suppression list. Neither layer is a manual security audit or an endorsement; before using a plugin, review the repository and installed permissions, and combine both 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 2026-10-25

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