Plugins

Turns a local audio file into a short plain-language verdict on tempo, key, dynamics, clipping and arrangement shape, and keeps the raw measurements in a separate block; audio never leaves the machine.

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models. Within a turn it supports skeletonized information compression with a low original-text retrieval rate; at the tail of a turn it supports a turn-tail intent summary implemented purely by content substitution; context content stays safe, and the whole process runs inside the official JSONL compression.

Free OpenCode Zen models in DeepSeek Harness, anonymous by default with an optional Zen key. The catalogue is read from Zen's official model list at runtime, and anonymous requests are adapted to the free tier's request checks, documented with dated measurements.

Unit conversion toolbox covering 20 categories — length, mass, temperature, area, volume (incl. US cooking units), speed, time, data sizes (decimal MB vs binary MiB), data transfer rates (Mbps vs MB/s), acceleration incl. g-force, illumination (lux / foot-candle), pressure, energy, angle, frequency, power incl. three horsepower definitions, force, torque, typography (px/pt/em/rem), and fuel economy (mpg ↔ L/100km). Two tools — convert_unit and list_units — zero runtime dependencies, pure arithmetic; each result includes the formula applied.

Real-time generation-speed gauge for DSH: a half-circle dial and a flowing trend curve, sampling tok/s 50 times a second for finer, more accurate measurement.

Inspect and tidy a real Android phone over adb: storage surveys, per-app data sizes read from dumpsys diskstats without root, cache clearing that preserves app data, directory measurements and screenshots — five tools; reads never modify anything, writes require explicit confirmation.

Structured image recognition: local sharp measurements plus a cloud vision model return description, OCR with coordinates, object locations and fine-grained attributes in one call; a fingerprint cache makes repeated images return in milliseconds without spending model quota.

Selection comments and quoted conversations (dsh划词评论 / dsh-huaci-pinglun), based on the MIT-licensed BangBang-03/dsh-client-ui-quote 0.11.1 with attached textarea measurement, border-aware height and long-text scrolling.

Thesis and empirical-analysis workbench that drives IBM SPSS from the conversation: spss_check (environment self-check), spss_variables (list .sav variables with labels, types, measurement levels, case counts), spss_data (sample case rows to inspect missing and outlying values), spss_run / spss_run_file (execute SPSS syntax or an .sps file, relative CD and GET FILE paths auto-rebased), and spss_analyze (one-shot frequencies, descriptives, crosstabs with chi-square, t-tests, one-way ANOVA, correlation, linear regression). Results come back as structured tables extracted through OMS. SPSS 25-31 is auto-detected; the bundled MCP server is zero-dependency stdio.

OpenCode Go provider that verifies a model against the gateway rather than treating a recommendation as a measurement: the models.dev protocol suggestion is probed before it is used, reasoning levels follow a measured contract, and requests run through an ordered protocol fallback chain. Context window, max output and image-input numbers are declared by a runtime-refreshed models.dev layer rather than probed, with operator overrides above both. Several OpenCode Go credentials can be stored and switched from the settings page.

Unit conversion as a `convert` tool: 10 categories (length, area, volume, time, angle, speed, temperature, pressure, energy/heat, power) and 82 units with English and Chinese aliases, plus a locale-aware Unit Converter tab in the DSH web view with one module per category and a temperature-difference (Δ) switch.