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Edit your `~/.dsh/AGENTS.md` global rules from the Settings page: a text editor with save button, no command line needed.

DeepSeek Harness bundle: vendored anti-slop Oxlint rules, the anti_slop_lint tool, the install-anti-slop skill, a standing prompt section, and the /anti-slop command.

DeepSeek Harness (DSH) plugin — inject context when user input or model output hits configured keywords, with toggleable/configurable rules and model-editable memory.

Academic mode for DeepSeek Harness (dsh): a research persona, anti-fabrication rules for citations and data, and bilingual conventions. Pairs with dsh-ai4scholar (literature tools) and dsh-research (research skills).

The pet that grows with your agent: 5 evolution stages earned from real signals (verified rules, completed sessions, tool calls, compactions), agent-state mirroring, and one-click growth share cards. Zero dependencies, 100% local.

Verification-driven self-evolution loop: failure logs become verified AGENTS.md rules; in-session plugin (evolve_learn / evolve_apply / evolve_touch / evolve_recall), tool-verify gate, rule lifecycle, local recall.

Adversarial multi-lens code review: parallel correctness/security/maintainability lenses attack a diff, with deterministic severity grading, suppression rules and incremental review history.

Manage DSH rules from the web settings panel — edit global/project AGENTS.md, or auto-split pasted rules into layered AGENTS.md and skills via LLM.