dsh-document-evidence
Project PDF library with background indexing and cited page highlights for DeepSeek Harness Web
167 results
Project PDF library with background indexing and cited page highlights for DeepSeek Harness Web
Evidence-backed engineering Mission governance for DeepSeek Harness
Verifiable authorization, execution evidence, and offline delivery verification for DeepSeek Harness
A persistent DevRel workbench for official DeepSeek Harness Discussions: triage, topics and evidence-first reporting.
Read-only MCP server exposing the dsh-plugin-certification registry: certification grades, snapshots and five-dimension evidence for DeepSeek Harness plugins.
DeepSeek Harness plugin that finds and ranks region-appropriate AI/SaaS purchase deals using current evidence and deterministic eligibility checks.
dsh-reprolab — a complete bug-to-proof workflow for DeepSeek Harness: frozen repro tests, RED/GREEN/REGRESSION gates, and replayable evidence.
Evidence-backed runtime nutrition labels for DeepSeek Harness plugins and tool namespaces
DSH plugin: laboratory PI for local Wisp Science projects. Read-only snapshots, evidence-backed advice, no fake experiments. / 实验室 PI:只读查看本机 Wisp Science 课题进展,按快照给意见,不编造实验。
Evidence-driven Feishu/Lark document writing skill for DeepSeek Harness (dsh) — turn Feishu wiki/docs/minutes/Base/chats & local files into structured docs with conclusions, evidence & actions. 飞书文档证据化编写技能插件:从业务资料到可验证、结构化、可执行的飞书成稿(战略方案/经营分析/GTM/复盘/PRD/管理汇报等)。
Evidence-driven runtime optimization for DeepSeek Harness: deterministic stuck detection + STRATEGY_RESET intervention, as a detachable DSH plugin.
Evidence-backed business strategy, pricing, profitability, elevator pitches and business plans.
Deterministic session evidence reports for DeepSeek Harness: /transcript writes styled single-file HTML / Markdown / JSON reports from canonical session logs, /stats prints a terminal stats card, /archive writes per-session ZIPs
Deterministic evidence for DSH schema migration fixtures
Evidence packaging, Skill evaluation, and controlled trajectory comparison for DeepSeek Harness sessions
Multi-Model Fusion Orchestrator (MoA) over registered DeepSeek Harness LLM providers: conductor-led fan-out, evidence ledger, verify/synthesize loop, zero training.
Offline content-addressed proof for supplied DSH workflow duty separation
Evidence-first frontend release checks for DSH: real browser inspection, user flows, visual baselines, and reproducible reports.
QA orchestrator plugin for DeepSeek Harness: an agent explores your app and leaves evidence, then the explored path replays deterministically. Drives the browser, macOS desktop, iOS and Android drivers.
Audit a DSH profile for capabilities nothing consumes, and record completion claims with the evidence that supports them.
Evidence-backed test plans and reviewable test drafts for DeepSeek Harness.
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.
Recent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with