Plugins

A purely plugin-based implementation that brings "cross-session long-term memory + background self-evolution" capabilities to DeepSeek Harness: five-track memory · git branch awareness · in-turn self-review · skill self-evolution and skill manager · four-track to-do · COI scheduling · session broadcast · session search · prompt manager · temporary info notes—zero core modifications, zero runtime dependencies, ready to use upon installation and completely removable upon uninstallation.

AI Look-Up: detects aimless grinding (repeated commands, failure loops, long runs with no output) and injects mid-run self-review nudges, plus a real local-clock anchor so the agent stops estimating elapsed time.

Adds a tier bar to the DSH composer with three thinking tiers (normal, strict, max), an exclusive loop mode whose three levels run 3, 5 or 8 self-review rounds, and a counter-review toggle that stacks on either; the model reads the current tier through the clarify_tier and forge_level tools.

Presentation-document mode for DeepSeek Harness: author Typst/Touying decks as structured data, compile to PDF with a visual self-review loop. · DSH 演示文档模式：以结构化数据驱动 Typst/Touying 生成 PDF 演示文稿。

Holds every final answer before delivery, has one independent minimal-context model call re-derive and check it, and releases only the verified text; the draft is never shown. Reviewed answers cost one extra model request and appear a few seconds later.

Intercepts turn-stopping to force one critique-and-improve round after each completed turn before the agent stops.

Analyze the current branch diff and generate a Conventional Commits PR title, motivation/scheme/testing/risk description and a self-review checklist, write PR_DESCRIPTION.md, optionally open the PR via gh.