dsh-qa · QA Workbench — A local software testing workbench plugin for DeepSeek Harness. Zero-dependency test project & iteration management with AI-assisted requirements, test cases, defects, milestones, reports, kanban and calendar.
Engineering workflow layer for DeepSeek Harness (dsh): a disciplined-engineer agent preset with five gated phases — requirements clarification, plan approval, TDD, parallel subagent execution, and verified finishing. Skills adapted from obra/superpowers.
Real-time chain-of-thought trajectory profiling for DeepSeek Harness: live wording indicators, profile-family judgment, per-session measurement records
Open a persistent side conversation from any DeepSeek Harness session to investigate questions, clarify requirements, or explore alternatives without polluting the main task’s context, then review and send a concise conclusion back to the parent conversation. Tested with DSH 0.1.2-alpha.1.
Green interrupt button for DeepSeek Harness WebUI: silently stops a running agent, which then summarizes progress and asks for new requirements; customizable interrupt prompt.
dsh-pm is the ChunSun × DeepSeek Harness reference plugin: an AI-native project-delivery loop driven by ChunSun. Requirements / Runs / Steps / acceptance scenarios & cases / work-memory, a session delivery panel, and 28 chunsun_* model tools — with the platform as the single source of truth. MIT.
DSH web plugin: a task kanban that refines requirements into phased plans, auto-executes them in git worktrees (one session per phase), and auto-merges into the main branch on completion.
Cross-session memory for DSH: remember/recall/forget keyed to a free workspace token, so a later session or a different machine picks up exactly where you left off.
