Plugins
Browse, filter, and install DeepSeek-Harness plugins.
5 plugins found
dsh-degeneration-kit (thinking-guard)
walksls/dsh-degeneration-kit
Folds degenerate reasoning loops out of the model-visible history so they are not replayed upstream on the next turn. Detects two shapes — one sentence hammered repeatedly, and short-sentence rotation — and replaces the matched span in place; a companion escape valve aborts a turn that will not stop on its own.
dsh-degeneration-kit (auto-checkpoint)
walksls/dsh-degeneration-kit
Auto-compaction that writes a handoff note first: as a session approaches a token threshold it asks the model to save a project checkpoint into the workspace, then optionally starts a fresh session seeded with a continue instruction and parks the old one. The note must be written within the current compaction cycle and its conclusions section must actually change, so a stale or merely touched file cannot slip through.
dsh-degeneration-guard
bluemika111/dsh-degeneration-guard
DeepSeek Harness 插件:检测思考段复读并自动打断、自动续跑。通用重复检测,不依赖白名单;支持行内重复开关、可编辑拦截提示词与聊天内提示。
dsh-moa-native
ddl095/dsh-moa-native
Native generation-time Mixture-of-Agents: every turn, reference models run the same session context in parallel as pre-run drafts and one aggregator executes with full tooling; config-as-model recipes, F mirror / R trimmed views, enforced subagent gating (dual-shape session indexing), derived per-recipe vision (vision refs relay image reads to text-only aggregators), tiered cadence with separate steering and patrol rosters plus frozen reuse between beats, degeneration guard dropping degenerate reference output, anonymized model face (failure notices carry no provider identity), and cache-friendly guidance placement (the rehearsal record is pinned where it was produced instead of appended to every request, so the cached prefix covers it and each step pays only for what was added since - on by default across every cadence).
dsh-output-loop-guard
adistancethereis/dsh-output-loop-guard
DSH guard against self-repetition in streamed model output: detects a degeneration loop in reasoning or visible text, aborts the runaway turn and wakes the agent with a corrective notice.