Plugins

Reescreve cada requisição com base num perfil de prompt aprendido e atualiza automaticamente hábitos, regras anti-alucinação e registros de aprendizado.

A camada de autoridade para IA agêntica, como um plugin do DeepSeek Harness. Governa cada chamada de ferramenta em relação às suas regras de negócio, via o ponto de decisão de política /v1/govern do TapPass

Claude Code compatibility for DeepSeek Harness: skills, memory loading and writing, scoped rules, and settings switches

Measure whether a dsh setup change actually helped: register repeatable cases, run them, and diff the results before and after you change rules, skills, or models.

A DeepSeek Harness plugin that gives the model a tool to set the session title using rules you define. DeepSeek Harness 插件：给模型一个按你自己定义的规则设置会话标题的工具。

Shared infrastructure for data assetization plugins: business rules loader, file format adapter, report generator, path validator, audit logger Also known as @deepseek-ai/dsh-data-asset-shared.

Maintained fork of dsh-approval-gate. A neutral operation whose confirmation count has reached the threshold auto-approves when the judge is unavailable, instead of prompting a human again; approver-facing explanations are generated in Chinese from the real sandbox mode, command and paths. Also carries deterministic hard-deny for credential exfiltration and system-path destruction, judge-input redaction, a judge model candidate chain, fingerprint-scoped allow rules, and an approval view with unified diff and one-click revert.

Discovers workspace Markdown commands, skills and path-scoped rules from .dsh and .agents directories.

Long-term memory for DeepSeek Harness, read-only as of 0.1.0: a scribe_recall tool that reads a plain-markdown memory room, path rules that refuse directory traversal, Unicode smuggling and NTFS alternate data streams, and a bounded index whose truncation is always reported rather than silent.

Pre-execution safety valve for DSH that judges with TypeSafe Jev: it hooks tools/pre-execute and decides every bash/pwsh call by first applying offline static rules, then by asking the Jev model — the System One model from TypeSafe, which returns a structured decision instead of prose — one yes-no question ("will this command irreversibly delete or overwrite real data?"), turning the answer into allow, revise, block or escalate; revise hands the model a safer rewrite, escalate offers a one-shot human token; exhausted credit or a missing API key degrades loudly instead of failing silent, and a missing key is requested in the conversation itself (`guard key set`, read from stdin); every verdict is appended to a shared audit log and the text people read is bilingual zh-CN/en.

Conway's Game of Life for DeepSeek Harness: a sidebar panel row opens a drawable centre-column board with four rules, seven stampable patterns and a population chart.

Ships a skill about writing DSH skills - SKILL.md frontmatter and root precedence, how to phrase a description so it actually triggers, length and splitting rules, and an A/B check that the finished skill changes agent behaviour. The package also carries the checker the skill uses to validate a skill directory.

Preventive content policy for DeepSeek Harness tool results: rewrite matched text with regex rules, or drop/truncate unpredictable payloads by field path before they are normalised, rendered, or persisted. The upstream counterpart to dsh-plugin-redact.

Replacement session-title provider that compresses oversized or code-heavy first prompts before calling the model (in the tested DSH version the built-in provider rejects inputs above 4096 bytes without a model call) and waits for a real task instead of titling a greeting. Titles use the session’s own provider and model by default and manual titles are protected; title rules cover a character cap, an optional date affix, style, language and exclusion words, plus a per-session lock. Also re-titles stored sessions in bulk, with a progress overlay that keeps running after Settings is closed.

Ponytail (lazy-senior-dev) as a mode-switchable, always-on DSH plugin: injects the COMPACT ruleset every step (off empties it) and mirrors the full ruleset + five companions into ~/.dsh/skills. Attribution: github.com/DietrichGebert/ponytail (MIT).

Make the model believe it is inside the Z.ai Code (Zhipu ZCode) agent environment: replaces the harness identity opener and injects a ZCode rules skeleton with a dynamic project section. 让模型认为自己处于智谱 ZCode Agent 环境。

Persistent, searchable, per-project memory for the DeepSeek Harness: decisions, rules, and sprint context in a queryable DuckDB file, rules enforced on every model request, with a full management UI in the Web Client

Peer communication between conversations in one DeepSeek Harness process: list the conversations the workspace shows, link one under a nickname, message it without waiting for its turn to end, read its progress without waking it, and declare rules for your own tool calls.

Pre-boot health gate and repair for dsh plugin trees: seven static scan rules, fault attribution after failed boots, whitelisted reversible fixes, and a panel with plugin-row management plus a RAG knowledge base of past failures.

Records scoped workflow rules and correction reminders with bounded evidence, local settings, and optional Brain Hub integration.

dsh plugin: cron scheduling — bounded tasks with calendar & interval rules, delivered to live agents

Multi-agent frugality defense plugin: read-ledger dedup metrics, compaction-immune rules, completion gate, cheap-model review lane.

Memory triage for DeepSeek Harness: at the end of each turn it decides which entries to keep and which to archive, routes project-specific ones into a project bucket while global ones stay in the main store, merges near-duplicate entries, and falls back to an LLM when the rules are unsure — automatic actions are recoverable archives only, never deletions.

Time-traveling stream rules for DeepSeek Harness — project rules stay dormant until a regex matches the live token stream, then the request is aborted, the rule injected as a system reminder, and the request retried from the same point. Zero per-turn cont