插件目录 / UI & Skins / dsh-dejaview
dsh-dejaview
已验证 · 实测可装 jiang4wqy
功能简介
A DeepSeek Harness tool that checks whether a similar dsh plugin already exists before you build one, by searching the awesome-dsh-plugin registry and the dsh-plugin GitHub topic.
可用 — 实测通过,早期项目
A DeepSeek Harness tool that checks whether a similar dsh plugin already exists before you build one, by searching the awesome-dsh-plugin registry and the dsh-plugin GitHub topic. 实测能干净安装、正常启动。早期项目,但功能可用。
「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。
README
dsh-dejaview
English | 中文
A DeepSeek Harness plugin that
registers one model-facing tool, check_plugin_novelty. Before the agent
builds a dsh plugin, the tool asks the question behind
DejaView — "has someone already made
this?" — narrowed to the dsh ecosystem.
Given a plugin idea, it searches three public sources — the
awesome-dsh-plugin
registry, the dsh-plugin GitHub topic,
and npm packages tagged dsh-plugin — ranks existing plugins by IDF-weighted
lexical similarity (rare, distinctive terms count for more than ecosystem-common
ones), and returns each candidate with the evidence behind its score plus
DejaView's six-dimension verdict guidance. The plugin retrieves and scores; the harness's own model
reads the evidence and delivers the ruling — so it needs no extra API key and
no LLM provider of its own.
Relationship to DejaView
DejaView · 项目照妖镜 — live demo ↗
DejaView is a web app that answers "is this project already built?" with an
evidence-first pipeline and three report personas — 镀金·华尔街 / 毒舌·马戏团 /
彩虹·夸夸群 — under one rule: the bite can be subjective, the facts cannot;
roast the project, never the developer. dsh-dejaview ports that one question,
and the six-dimension + three-persona framing, into a dsh tool scoped to the
plugin ecosystem. The retrieval and scoring are reimplemented here in
TypeScript; the verdict framing is handed to the model as guidance.
The tool
check_plugin_novelty — provide at least one of:
| Argument | Type | Meaning |
|---|---|---|
idea |
string |
One-line description of the plugin you want to build. |
name |
string |
Proposed plugin name, if you have one. |
keywords |
string[] |
Salient capability keywords. |
It returns a JSON value with: the normalized query, a verdict_hint
(likely-exists | adjacent | looks-novel | inconclusive),best_similarity, a confidence in the retrieval coverage, source counts, a
ranked candidates array (each with name, url, source, category,similarity, bucket, and the signals that produced the score),uncovered_terms (idea terms the closest match does not cover — a starting
point for differentiation), any degradations, the six-dimensionverdict_guidance, and a disclaimer.
The registry is read from the awesome-dsh-plugin README in a single request
(full-recall over every listed plugin), with a git-tree scan as a fallback; the
response is cached in-process for a few minutes so repeated checks in one session
do not refetch.
Example (live registry result for "replace the turn-status label with rotating
phrases"):
verdict_hint = likely-exists best_similarity = 1.0
100% [near-duplicate/registry] 01Virex/dsh-status-rotator — Replaces the "Deep diving..." turn-status label ...
47% [adjacent/registry] alingalingling/ui-status-label — Customize the "deep diving" thinking status label ...
When the harness systemPrompt service is present, the plugin also contributes
one short guidance line (tool:check_plugin_novelty) so the agent knows to run
this check before building a plugin. It is added through an optional inject, so a
headless profile without that service still loads.
Scope and honesty
- Evidence covers only the awesome-dsh-plugin registry and the
dsh-plugin
GitHub topic at query time. A miss means "not found within this search",
not proof of novelty. - If retrieval degrades (rate limit, network), the tool returns what it has, a
degradationsnote, and lowers confidence rather than failing the call. - Network access is limited to GitHub's public REST API and the raw file host.
It sends no credentials and reads no local files.
Requirements
The DeepSeek Harness (engines.dsh >= 0.1.0-rc.6) supplies@deepseek-ai/dsh-tools and @deepseek-ai/cordis at load time. They are
intentionally not listed as installable dependencies: their standalone npm
graph is not cleanly installable, so this package builds against local type
shims (src/dsh-shims.d.ts) and marks those specifiers external. The prebuiltlib/ is committed so a direct Git install loads without a build step.
Install into a profile
git clone https://github.com/jiang4wqy/dsh-dejaview.git
cd dsh-dejaview
pnpm install # dev tools only; harness packages are provided at runtime
pnpm run check # typecheck + tests + build
dsh plugin --profile dejaview add .
dsh --profile dejaview --dump-config | grep dsh-dejaview
dsh --profile dejaview
Remove it with:
dsh plugin --profile dejaview remove dsh-dejaview
Development
src/index.ts # plugin entry: registers check_plugin_novelty on ctx.tools
src/fingerprint.ts # idea → normalized token/phrase fingerprint
src/sources.ts # fetch candidates: awesome-dsh registry + dsh-plugin topic
src/score.ts # explainable lexical similarity + bucketing
src/rubric.ts # DejaView six-dimension + three-tone verdict guidance
src/novelty.ts # orchestration (pure apart from injected fetchers)
src/dsh-shims.d.ts # local type shims for the harness-provided packages
tests/ # node:test unit tests (run on native TS, no extra runtime)
scripts/smoke.ts # manual live check against public GitHub
pnpm run typecheck—tsc --noEmitpnpm run test—node --test tests/*.test.tspnpm run build—tsdown→lib/node scripts/smoke.ts— live end-to-end check
Discoverability
Add the dsh-plugin topic to the repo
(metadata, not a file):
gh api --method PUT repos/jiang4wqy/dsh-dejaview/topics \
-H 'Accept: application/vnd.github+json' \
-f 'names[]=dsh-plugin'
License
MIT © jiang4wqy
安装
装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:
dsh plugin add dshbase-catalog 然后对 agent 说「帮我装 dsh-dejaview」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。
该插件是 GitHub 源码(未发 npm)——直接从仓库装:
Web profile:
dsh plugin --profile web add github:jiang4wqy/dsh-dejaview Headless(CLI)profile:
dsh plugin --profile headless add github:jiang4wqy/dsh-dejaview 实测报告
验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。