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fullstack-expert

Agent 與自動化JavaScriptMIT

以證據驅動的全棧工程工作流:先勘察後規劃、要求顯式驗證證據、敏感操作走審批門控。

2 Starsadithya-hmt 更新時間 2026-08-16
訪問 GitHub 倉庫
fullstack-expert 專案預覽

專案介紹

中文

以證據驅動的全棧工程工作流:先勘察後規劃、要求顯式驗證證據、敏感操作走審批門控。

English

Cordis-native, evidence-driven full-stack engineering workflow: inspect-first planning, explicit verification evidence, and approval-aware gating for sensitive operations.

專案資訊與收錄訊號

快照 2026-09-11
作者 / 組織
adithya-hmt
倉庫
adithya-hmt/fullstack-expert
GitHub Stars
2
Forks
0
開發語言
JavaScript
許可證
MIT
最近推送
2026-08-16
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資料中檢測到宣告

公開倉庫不自動等於可商用;許可證與當前相容性以原專案文件為準。Manifest 和資料評分不構成安裝安全認證。

資料評分

56/ 100
維護活躍
82
文件與實用資訊
100
生態關注度
14
安裝便捷訊號
75
專案宣告訊號
100

README 含完整安裝與使用說明;關注度尚低(2)。

評分來自已有資料快照的五維模型,僅作瀏覽參考,不是實際使用評測或安全檢測結論。

安裝與使用

所有專案資料與許可均以對應 GitHub 倉庫為準。

dsh plugin --profile web add github:adithya-hmt/fullstack-expert

複製命令不會自動執行。請先閱讀倉庫文件,確認環境要求與許可證。

專案截圖

倉庫 README

GitHub 原文

已儲存的倉庫文件快照;文件抓取時間未記錄,可能與上方目錄介紹處於不同版本。安裝前請核對當前倉庫說明。

儲存庫檔案保留原文,指令與授權文字不作自動改寫。

@deepseek-ai/fullstack-expert

CI Release License: MIT

Make coding agents show their work. Fullstack Expert is a Cordis-native workflow and safety layer for DeepSeek Harness coding agents. It makes repository inspection, vertical-slice planning, sensitive-operation boundaries, and fresh verification evidence explicit—without introducing a second agent framework, shell, filesystem, browser, database, or model provider.

This is not a smarter model. It is a more disciplined engineering loop around the Harness capabilities you already use.

What V0.1 provides

  • A scoped methodology prompt: understand → inspect → design → plan → implement → test → review → verify.
  • Two deep model-facing operations:
  • fullstack_plan: bounded repository inspection plus a vertical-slice plan.
  • fullstack_check: read-only project checks and explicit evidence recording.
  • A deterministic FullstackExpertRuntime state seam for phase, tasks, evidence, and compact event facts.
  • Embedded narrow skills registered through native ctx.skills.
  • Complexity-governor decisions based on requirement, reuse, native platform, dependencies, and safety controls.
  • Permission classification and an approval-aware pre-execute gate that delegates sensitive operations to native Harness approval and fails closed when approval is unavailable.
  • Optional, read-only Supabase project evidence detection.
  • Session/tool outcome observation using native session/event and tools/result; the Harness session log remains the durable source of truth.
  • Provider-neutral operation: the plugin never selects or hard-codes an LLM adapter. GPT-5.6 Max is configured in the Harness model route.

Honest scope

V0.1 does not provide a browser driver, shell executor, filesystem backend, dev-server registry, Supabase SDK, database client, deployment adapter, or model provider. It reuses those capabilities when the selected Harness composition exposes them. Browser verification is therefore guidance plus evidence recording until a stable browser tool is composed. Supabase operations are detection/advice only; migrations, linking, login, pushes, resets, pulls, function deploys, and external writes remain explicit sensitive actions.

Install as a profile bundle

Fastest path

With the DeepSeek Harness CLI installed, add the tagged release directly from GitHub:

dsh plugin --profile web add git+https://github.com/adithya-hmt/fullstack-expert.git#v0.1.1
dsh --profile web --dump-config
dsh --profile web

Replace web with your profile name. The first command installs the package and activates its declared patch layer. The second confirms the composed row before booting. Once npm publication is enabled, the shorter @deepseek-ai/fullstack-expert package spec will work too. For a complete setup, troubleshooting, and a local-checkout path, see QUICKSTART.md.

Manual profile overlay

Build/publish this package into a profile's dependency closure, then add the supplied cordis.patch.yml overlay after the profile's base bundle:

- insert:
    - id: fullstack-expert
      name: '@deepseek-ai/fullstack-expert'
      config:
        registerSkills: true

The overlay is intentionally small. The profile must already compose native Harness rows such as dsh-fs, dsh-fs-local, dsh-shell, a shell executor, dsh-tools, dsh-skill, and the relevant model adapter.

For a user-owned preset, copy the shipped standard preset rather than editing the install, then add the row to the copied agent.cordis.yml. Give the copied preset a preset.yml with a human-readable name and description, or it may appear only as its directory id in pickers. A plugin row that contributes a Service must be placed in the host composition or in an entry-local isolated realm when its consumers are session-owned.

GPT-5.6 Max / OpenAI-compatible CLI proxy

Keep provider configuration outside this package. Configure the existing OpenAI-compatible CLI proxy using the Harness provider/model settings surface, selecting:

provider: <your proxy adapter>
model: GPT-5.6 Max

The exact provider id, endpoint, credential binding, and CLI command are deployment-specific. Do not put credentials in this repository or prompt context. The plugin consumes the provider-neutral agent/session interfaces only.

Usage

  1. Start with a composition containing the plugin and native Harness filesystem/tool/skill rows.
  2. Ask for a feature, bug fix, review, refactor, or application build.
  3. The agent should call fullstack_plan for substantial work, inspect actual files, state assumptions/unknowns, and implement a vertical slice with native tools.
  4. Use fullstack_check for bounded structure/command/Supabase checks and to record non-verification review facts. Verification evidence must come from a native Harness check; V0.1 rejects self-attested verification records.
  5. Completion is only justified after a native verification evidence record passes and relevant failures are absent.

The native shell tool reports its [exit code: N] marker; investigate every non-zero result. For browser work, use the composed browser capability and record actual console/network/UI evidence rather than treating a build as proof.

Development

Requirements: Node.js >=22 and the Harness peer composition installed by npm ci.

npm ci
npm run verify
npm run test:consumer
npm run test:profile

test:consumer installs the packed tarball into a temporary consumer and mounts fullstack_plan and fullstack_check against the real peer packages. test:profile installs that tarball into a disposable Harness profile and checks the composed patch layer; it requires dsh and pnpm (or uses the documented pnpm fallback).

The repository is intentionally dependency-light. Source is plain ESM JavaScript and the package publishes the source entrypoints plus the Cordis patch, matching the plugin's plain-runtime contract.

Documentation

Community and promotion

If Fullstack Expert helps with a real project, share the task and verification evidence (without secrets) in an issue or discussion. Add the dsh-plugin topic to help DeepSeek Harness users discover it. A short demo is more useful than a claim: start with docs/demo.md.

License and provenance

The plugin implementation is MIT-licensed. The methodology report in docs/reference-methodologies.md records the pinned MIT sources consulted for Superpowers, mattpocock/skills, and Ponytail, with citations and a clear separation between inspiration and copied code. No reference implementation text is bundled.

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