Plugins

Installs the whole role-chain toolchain in one step: four agent presets (plan, work, code and review) plus fourteen chain_* tools for evidence-bound rounds, with a settings card. It ships the protocol runtime itself, so no sibling package is needed. It replaces the separate l1-presets and l2-protocol entries, which must be removed before enabling this one.

Runs your kanban backlog during DeepSeek off-peak hours while the machine is idle: per-card git worktrees, evidence-gated completion, merge-back, and budget and idle gates. Linux or WSL only (needs bash, python3, git, jq, flock); initialise a git repo once with `npx dsh-offhours init`.

Experiment-orchestration SOP skill for long-running experiments. A top-level model drafts a decomposition plan — subtasks, the model for each, an acceptance figure with tolerance, and dependency order — and dispatches only after the user confirms that plan; each subtask then goes to a lightweight executor subagent as a self-contained prompt, and its report is confined to measured facts and the delta from the agreed figure, with judgement and decisions staying at the top level. Ships one plan template and five task templates (gather, execute, consistency check, read-only review, mechanical transform), acceptance gates split into a task layer and an experiment layer, and three rules that stop internal-consistency evidence from being presented as independent or external validation.

Give it one URL and it traces the whole chain itself — DNS, reverse proxy, upstream, container, host and dependencies — then reports a root cause with evidence, so incident triage and routine operations run without anyone reciting where the machines or logs are. The chain comes from resource records it builds and keeps in your workspace; it is read-only by default and any change needs your explicit authorization.

Bundled registry of 119 computer-science sources (textbooks, official docs, standards, preprints) across the 17 CS2023 knowledge areas, each tagged with an authority tier, evidence type and refresh interval, plus cs_source_find and cs_source_audit tools that look up a source or audit the URLs in a draft.

Fail-closed retry protection and evidence-backed recovery for DeepSeek Harness (DSH) tools.

Evidence-gated acceptance for research reports: claims, citations, data scope and method limits each need a tick plus written evidence before a deliverable can pass, with same-artifact revision history and a standalone SHA-256 receipt that says when the bytes moved.

Evidence-gated teaching-material workbench with a Web UI: page model, per-page handout and slide editing, PAEG Chinese language checks, layered gates, checks center, version history, handout/deck/storyboard/Manim-script export and rights audit.

Private relationship notebook: scores each day of chat from message-level evidence and tracks how the relationship develops over time. Chats, profiles and drafts stay in your browser's local IndexedDB and the plugin runs no server of its own, but using model replies, profiling or automatic analysis sends the relevant chat context to the model service configured in DSH.

Audits and evolves agent context at four scopes: a single repository, a group of related repos, a knowledge hub, or the whole machine. Discovers projects, instruction files, skills, tools, knowledge, project state, evidence and credential references; reports drift, duplicate facts, broken pointers, paths left unverifiable in prose, budget overruns, unindexed knowledge, stale state and unregistered credentials; scores each scope on the dimensions that belong to it; and turns findings into reviewable migration plans that back up every file before moving it. The format contract behind the metrics is written down as a versioned spec (CTX rules, markdownlint-style IDs) that follows open conventions — AGENTS.md for instruction files, llms.txt-shaped link indexes. Also scaffolds a deliberately small hub for durable knowledge and project state. Ships a stdlib-only Python CLI plus two skills, with credentials referenced by path and never printed. Requires Python 3.9+ (stdlib only) and DSH 0.2.1-rc.2 or newer, below 0.3.0.

Reusable experience for DeepSeek Harness: save a successful task as a structured playbook, recall it later as a native skill, and gate deliveries behind user-confirmed checks that require objective evidence before write actions are allowed.

Drive a real Chrome and bundle the DOM, accessibility tree, HAR with response bodies, console logs, storage, screenshots, PDF and screencast into one self-contained evidence folder.

Electron browser with two faces. For agents it is a runtime: a daemon hands out port leases so several agents drive isolated, profile-backed sessions (25 session tools — navigate, act, observe, screenshot, batch runs, upload_file — including network_capture/responses for reading XHR/fetch bodies through a real browser), and it needs no window. For demos it splits a web walkthrough into a Stage window for the audience and a hidden Recorder that produces 1080p30 video with evidence files over CDP, without forking the browser engine; flows are scripted as scene.yaml packages driven from a Director console plus a loopback control API on 127.0.0.1:7317; headless recording shows no window, takes no focus and stays out of the Dock. Requires Node 22.12+ on the 22 line, 24.x, or 26+ (the 23 and 25 lines are excluded).

A self-justification gate for outbound claims: a claim needs a checkable source (an http(s) URL plus a quote of at least 8 characters), every number in the text must appear in a quote, and a quote whose vocabulary overlap with the post is under 10% counts as an invalid citation; absolute wording is rejected when the only evidence is second-hand. All verdicts come from deterministic rules — no model call, no network. The guard subcommand refuses to run the publish command when the gate fails (fail-closed), explains what is wrong and how to fix it, and requires an --ack note on the second attempt stating what changed; after three attempts it stops and hands back to a human. Ships check / explain / fix / guard, with 30 tests.

Daily longevity coach built on the 64 graded population studies in HowToLiveLonger: a sidebar page with three actions for today, a day timeline, nine situation guides, keyword search over all 64 records and a check-in trail, plus five agent tools that make the model state the A/B/C/D evidence grade before answering questions about sleep, diet, exercise, sitting or supplements.

Fail-closed retry protection and evidence-backed recovery for DeepSeek Harness (DSH) tools.

Requirement-to-evidence audit for DSH sessions: maps each requirement to tool calls, files and commands, records per-requirement verification, and sends missing items back to the agent.

Adds a Vivado session preset to dsh with an FPGA engineering-discipline persona (global serialization, pure-ASCII paths, evidence-first conclusions, detached long builds) and mounts eight bundled AMD/FPGA skills from the package itself; installing the preset needs no Vivado or vivado-mcp installation.

Five-tier reasoning protocol injected into the system prompt — off / light / standard / deep / multi-agent, 0 / 3 / 9 / 17 / 19 rules — with the tokens each tier adds per request shown beside it. Alongside it: a claim ledger that marks a load-bearing claim with no evidence or check as unsupported, read-only analyst briefs, JSON-declared custom tools that work in the same turn, one persistent PowerShell session, and re-injection of host context after a configurable message gap. Tier 0 injects nothing and mounts no tools. A derivative of husongan/dsh-deepseek-2027 (MIT); do not install both — each injects its own reasoning-protocol section into the system prompt.

Runs project check commands itself and records the real exit codes, pins the result to a git or file workspace fingerprint, expires the evidence when the tree changes, and reminds the agent to verify before claiming completion.

Plan-native multi-agent workflow for DeepSeek Harness: plan directs, work coordinates, code writes, and review audits read-only. Ordinary tasks need no authorization card or budget form. Includes 14 chain_* tools for explicitly authorized controlled rounds, with a frozen T0 baseline, layered evidence, and blocking close gates. Provides per-role model settings. Requires the sibling l1-presets bundle. For new installs, Weihao654/dsh-workflow#role-chain provides this runtime and the four presets in a single bundle. Do not enable role-chain alongside either legacy l1-presets or l2-protocol.

Deterministic review of synthetic AI-agent claims in DeepSeek Harness, reporting bounded verdicts, reasons, and evidence references.

Optional source-preserving chat rendering with selectable themes, offline Uiverse component tools and a report-local evidence workspace. Preview for DSH 0.2.1-rc.2.

Skill bundle for tiered multi-agent science campaigns in math, physics, astronomy, engineering, and biomedical evidence: a shared blackboard, independent verifier and red team, wolf-pack and flanking tactics, token and time budgets, known-answer evals, a four-agent pendulum pilot, and a six-agent fourth-order pilot that caught and corrected a benchmark answer-key error. Does not claim open-problem solutions.