Plugin directory / AI Models / dsh-plugin-auto-blame
dsh-plugin-auto-blame
Verified · install-tested on dsh HuanLinOTO
What it does
No description provided.
Works — verified, early-stage project
No description provided. It installs cleanly and boots without issues in our testing. It's early-stage but functional.
“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.
README
dsh-auto-blame

当模型完成当前轮次对话后,将最后 3 条消息发送给 LLM,生成 3 条批判性跟进请求,显示在输入框上方作为可选项,点击直接发送。生成期间"领导视野"标签带 DeepSeek 蓝色流光扫过(同 Deep diving... 特效),建议到达后气泡依次淡入。
工作原理
[host] agent/turn-stopping 触发
→ fire-and-forget 调 ctx.llm.stream() 生成 3 条毒舌跟进
→ session.append('auto-blame/suggestions', { turn, suggestions })
→ projection unit 折叠该事件 → session/projection 推送帧
↓
[client] useProjection('autoBlame') 收到值
→ conversation.composer.dock 渲染 3 个气泡
→ 点击 → inputActions.setDraft(text) + submit()
- fire-and-forget:LLM 调用不阻塞 turn 关闭,建议晚几百 ms 出现
- 非 surface 事件:
auto-blame/suggestions不进入 model-visible 历史,不干扰 agent loop - 失败静默:LLM 失败 / 解析失败 → 不 append 事件,不显示气泡
- 点击发送:走 InputBar 同一路径(
inputActions.setDraft + submit) - 下一轮清空:新 turn 开始时 projection 归零,旧气泡立即消失
开发
pnpm run typecheck # tsc --noEmit
pnpm test # vitest run(28 个单测)
pnpm run build # tsc + tsdown → lib/index.js, lib/invariant.js, lib/client.js
pnpm run bundle:client # 只构建 client bundle
依赖链接(sibling dsh checkout)
本插件依赖 @deepseek-ai/dsh-* workspace 包。开发时需要手动 Junction 链接到 sibling dsh checkout:
$dest = 'node_modules\@deepseek-ai'
New-Item -ItemType Directory -Path $dest -Force
# 参考 dsh-spur 的 node_modules 结构创建 Junction
或从 dsh-spur 复制 node_modules(含 typescript / tsdown / vitest / @types/* / cordis / @deepseek-ai/dsh-client-*),再补建 dsh-agent / dsh-llm / dsh-session / dsh-session-projection 的 Junction。
运行
# 从 npm 安装(推荐)
dsh plugin --profile web add @huanlin/dsh-plugin-auto-blame
# 本地开发(热更新)
dsh plugin --profile web add "link:D:/Projects/deepseek-harness/dsh-auto-blame"
安装后重启 dsh web + 浏览器硬刷新(Ctrl+Shift+R)。
检查
- 零源码 patch
-
package.json声明dsh.bundle.patch -
cordis.patch.ymlinsert 行 id/name/config 齐全 -
files含lib/+cordis.patch.yml -
peerDependencies含 cordis +@deepseek-ai/* - typecheck / test / build script 齐全
- 预构建策略(
lib/入库,无prepare脚本) - 不导出 default
- 测试分层(Unit)
Install
Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:
dsh plugin add dshbase-catalog Then say "install dsh-plugin-auto-blame for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.
This plugin is GitHub source (not published to npm) — install it straight from the repo:
Web profile:
dsh plugin --profile web add github:HuanLinOTO/dsh-plugin-auto-blame Headless (CLI) profile:
dsh plugin --profile headless add github:HuanLinOTO/dsh-plugin-auto-blame Test report
Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.
When to use it
Bring a new model, provider, or routing policy into the loop so dsh can pick the right brain for the job.
Who it's for
Users juggling multiple models or providers who want cost, quality, and latency balanced automatically.
For developers — extending it
Provider adapters and routing heuristics are the seams — add a backend, tune the fallback chain, or add per-task model selection.