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Capto Dsh Plugin — DeepSeek Harness 插件(DSH Plugin)
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capto-dsh-plugin

Capto Dsh Plugin

DeepSeek Harness (dsh) 插件:通过其 CLI 控制平面驱动仅限本地使用的 Capto 屏幕录制器的一等 capto_* 工具

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add capto-dsh-plugin@0.1.0
README兼容性版本

兼容性与来源证明

Capto Dsh Plugin 以 capto-dsh-plugin 发布,当前版本为 0.1.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
npm
Registry 更新时间
2026/9/20

版本

0.1.0stable
2026/8/13

相关插件

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最新版
0.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
33.8 kB
文件数
8
Surface
any
许可证
MIT
发布源
npm
GitHub
★ 1
周下载
36
最近提交
2026/8/19
查看源码 ↗项目主页 ↗
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README

capto-dsh-plugin

中文

First-class Capto screen-recording tools for DeepSeek Harness — Everything is a Plugin.

capto-dsh-plugin registers a set of typed capto_* tools (capto_status, capto_record_start, capto_shot, …) so a Harness agent can drive the local-only Capto Windows screen recorder from any conversation — no shelling out, no FFmpeg, no cloud.

  • 🎬 14 typed tools — status / doctor / open / list / shot / record / config / outputs, each with a strict parameter schema and a canonical JSON output
  • 🧭 Agent-friendly failures — every CLI exit is normalized to Error: capto exited <code> (<errorCode>): <message>; desktopUnavailable (exit 2) tells the model exactly what to do next (capto_open, wait, retry)
  • 🔌 Zero build step — plain ESM, works from npm, a tarball, or a git checkout as-is
  • 🔒 Pure local — talks only to the running Capto desktop over its localhost control plane; never spawns FFmpeg, never uploads anything

Requirements

  • Windows 10+ with Capto desktop installed — the installer embeds FFmpeg and the capto CLI and adds cli\ to PATH
  • A running DeepSeek Harness profile (dsh web, dsh --profile headless, …)
  • Node ≥ 18 (the harness runtime)

Installation

npm (into a profile)

npm install --prefix ~/.dsh/profiles/web capto-dsh-plugin

Enable it in the profile's cordis.patch.yml:

- insert:
    - id: capto
      name: capto-dsh-plugin
      config:
        command: ['capto']            # or an absolute path to capto.exe
        timeoutMs: 120000
        noLaunch: false
        autoOpen: false

Verify the composed tree, then restart the GUI:

dsh --profile web --dump-config
# restart `dsh web` — the capto_* tools appear in the agent's toolset

dsh plugin (bundle form)

The package declares a dsh.bundle manifest, so the official pnpm-based flow wires everything automatically:

dsh plugin --profile web add capto-dsh-plugin
dsh --profile web --dump-config   # a "# == capto-dsh-plugin" layer appears

The npm-based flow above is the equivalent for npm-managed profiles.

From a checkout (development)

npm install --prefix ~/.dsh/profiles/web "file:D:/path/to/Capto/packages/capto-dsh-plugin"

npm ≥ 7 links file: dependencies, so source edits are picked up on the next GUI restart.

Uninstall: npm uninstall --prefix ~/.dsh/profiles/web capto-dsh-plugin (or dsh plugin --profile web remove capto-dsh-plugin), then drop the patch row.

Configuration

KeyDefaultMeaning
command['capto']CLI argv prefix: ['capto'] (installed PATH), ['D:\\…\\capto.exe'], or ['cargo','run','-p','capto-cli','--'] in a dev checkout
timeoutMs120000Per-call timeout in ms. Must exceed the CLI's 45 s desktop auto-launch wait so a cold start can finish
noLaunchfalseAlways pass --no-launch — never auto-start the Capto desktop
autoOpenfalseOn exit 2 (desktopUnavailable): run capto open, wait ~3 s, retry once

Invalid configuration (empty command, non-positive timeoutMs, non-boolean flags) fails at plugin load with an actionable error.

Tools

ToolPurpose
capto_statusSession snapshot { state, elapsedMs, outputPath, … } — check before recording
capto_doctorEnvironment readiness { ffmpegOk, controlPlane, … }
capto_openOpen the desktop window (recovery entry for exit 2)
capto_listEnumerate displays / windows / audio / encoders
capto_shotScreenshot → { path } (absolute PNG)
capto_record_startStart recording (source, display/window/region, format, fps, quality, encoder, mic, loopback, cursor)
capto_record_stop / capto_record_pause / capto_record_resumeRecording control
capto_config_get / capto_config_set / capto_config_pathRead / patch settings (camelCase keys)
capto_outputs_recent / capto_outputs_openRecent outputs / open files in Explorer

Every tool declares a canonical JSON output and a pretty renderer; read-only tools are marked concurrency-safe. The tool:capto prompt section teaches the agent: check capto_status before starting, never start twice, recover exit 2 with capto_open, always end with capto_record_stop, and find files with capto_outputs_recent.

Model Experience

  • What the model sees — the 14 tool schemas plus a short tool:capto guidance section: a fixed, small per-request token cost while the plugin is active.
  • Failures — thrown as Error: … carrying the CLI exit code and error code. desktopUnavailable messages give the model its next step (capto_open, wait ~3–5 s, retry; ask the user if it still fails).
  • Cancellation — calls observe the tool signal; an aborted call raises AbortError and never leaves an orphan CLI child.

Development and verification

cd packages/capto-dsh-plugin
npm install            # test deps (@deepseek-ai/dsh-tools, schemastery)
node test/smoke.mjs    # 11 checks: contract, config, arg mapping, failure
                       # normalization, timeout, autoOpen recovery, real CLI

test/fixtures/fake-capto.mjs is a fake capto CLI speaking the JSON envelope contract, so the suite runs without the desktop. When target/debug/capto.exe exists, one real-CLI check runs too (accepting both control-plane states). CI runs the suite against the freshly built CLI on Windows and fake-only on Ubuntu, plus npm pack --dry-run.

Known Limitations and Deferred Work

  • Windows-only by design — Capto is a Windows screen recorder; other platforms gain nothing.
  • One desktop session — the tools drive the single Capto desktop process; no second capture pipeline (a Capto guarantee, enforced by its control plane).
  • No image preview inside results — capto_shot returns a path; image rendering in tool results is not available in the harness yet.
  • autoOpen is best-effort — it retries once after capto open; a wedged desktop (stale process) still needs a manual kill + relaunch per the Capto skill docs.

License

MIT — part of the Capto project. See LICENSE.