dsh-poison-check
宠物中毒识别
256 results
宠物中毒识别
Model Hub for DSH Desktop — a lightweight model/provider integration toolkit. Installs Ox Alpha (stealth/ox-alpha via OpenRouter) with one command and adds custom-model, custom-provider, health-check and model-discovery tools. 一个 DSH 插件:装好 Ox Alpha,并支持自定义模型/Provider 接入、健康检查与模型发现。
A faithful Windows 98 skin for the DeepSeek Harness web GUI: teal desktop, silver beveled panels, navy accents, pixelated MS Sans Serif, beveled buttons, sunken inputs and checkerboard scrollbars — derived from the classic 98.css design system.
Strict check: verify code and commands against real checkers instead of reading them — Lean 4 kernel checking with an axiom audit, language type/syntax checks, and static defect rules.
Zero-dependency static + sandbox smoke detector for DeepSeek Harness (dsh) plugins: package-structure gates (R), cordis contract scans (K), keyless-headless sandbox smoke (D), and ecosystem-listing checks (CC).
Strict gate: turns strict_check and the failure journal from tools the model may call into policy the harness enforces — repeated-failure intervention, a glob-protected critical-path gate, and an automatic post-write check.
A deterministic pre-write claim guard for supported DeepSeek Harness file tools.
Research lab for DeepSeek Harness: AutoSci-style wiki (experiments/literature/decisions), ASI-Bench-grade eval rigor ledger, arXiv digest, adversarial paper review, and academic writing checks.
Generates and installs a verified one-click desktop launcher for DeepSeek Harness on Windows, after checking Node, npx, the desktop folder, and whether the target port is already serving a Harness instance.
DeepSeek Harness plugin that finds and ranks region-appropriate AI/SaaS purchase deals using current evidence and deterministic eligibility checks.
Ships a skill that tells the agent when to delegate work to subagents instead of doing it inline, how to fan several out in parallel, and how to check what they returned.
Permission matrix for DeepSeek Harness: 3 sandbox modes x 4 approval strategies = 9 selectable presets, with a global default, a separate LLM-robot default, four-tier risk policies, password-gated approval for high-risk operations, audit log and git checkpoint.
在设置页检查 npm 上 @deepseek-ai/dsh 官方最新版本,并与本地安装版本对比(host: webServer API + node fetch;client: settings.section 设置页)
DeepSeek Harness plugin: a fail-closed URL host and scheme allowlist checked before a request is opened, exposed as assertUrlAllowed and the ssrf_check tool
Pre-send verification for deliverables: opens the real file to verify row and dedup counts, scans for placeholder residue, diffs incremental files against their stated baseline, and logs the batch in a ledger with candidate vs sendable counts kept separate.
Claim-evidence separation for any document: classifies every checkable claim, traces each to a primary source or a direct measurement, fetches links for real, recounts action-driving numbers, and labels what stays unverified — so a deliverable states its evidence level instead of implying one.