DSH Marketplace

Aegis

GanyuanRan/Aegis

Software-engineering method pack for coding agents, with skills for baseline-first planning, systematic debugging, prompt hygiene, verification before completion, and repair/retirement tracking.

1,26362PythonMITSource

Install

Add Aegis to DeepSeek Harness

via GitHub · GitHub source

Installing from GitHub runs the project's build script, which pnpm blocks until you allowlist it — run the command once and pnpm prints the exact key to add under `allowBuilds` in ~/.dsh/profiles/web/pnpm-workspace.yaml.

What happened when we ran it

Installed cleanly when we ran it

Every command here is run in a throwaway container against a clean profile, and the result is whatever the harness recorded — not a guess from the source. Last run 7d ago.

Show it in your README

install verified — dshmarketplace

For maintainers: the badge serves this listing's latest sandbox verdict, so a re-run updates it on its own — and it links readers to the full result here.

Due diligence

Before you install Aegis

  • Source of record: GanyuanRan/Aegis — present in the community registry that DSH's own plugin market installs from.
  • Licensed under MIT.
  • Detected: terminal surface. Read the source before granting these.
  • A listing here is not a security review. Plugins run with your agent's permissions.

The AI take

What it is — Aegis is a software engineering method pack for coding agents.

Who it is for — Developers using DeepSeek Harness for complex coding tasks who require baseline-first planning are suitable for installing Aegis. Users who only handle simple requests without needing verification before completion can skip installing it.

Watch out — Sandbox testing passed: it was installed in a new profile and registered by Harness. No obvious issues found.

The verdict — I would install it because it provides verification before completion proofs for coding agents on DeepSeek Harness, which is valuable when proof before "done" is needed.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.

What Aegis does

Layered blocks flow through checks into a verified form, with discarded fragments separated.

Aegis is a DeepSeek Harness plugin that gives coding agents a software-engineering method pack for planning, debugging, prompt hygiene, verification, and repair or retirement tracking.

It projects these methods into a skill-aware host rather than adding a separate coding tool. Before editing, the agent is expected to establish the project's real baseline, including owners, contracts, and boundaries. Before declaring completion, it should produce fresh verification evidence, identify the covered scope, and record residual risk. The pack also keeps retired fallbacks and old paths tied to a retirement trigger instead of leaving them as untracked technical debt. Simple tasks can remain on a fast path; the documented method is intended to add ceremony when the task needs it.

Aegis is aimed at coding-agent workflows where changes need explicit planning and evidence. It is less suitable when the host cannot load skills or when its existing workflow already provides the same planning and verification discipline. The README documents host-specific activation requirements, including native plugin installation for DSH and additional discovery checks where a host uses a separate skill directory.

The detected terminal surface matters: the plugin's verification flow runs commands such as python scripts/aegis-doctor.py --write-config --json from the method-pack root and may pass discovery-root and name-prefix options. That gives the agent a terminal-based path to inspect installation and workspace support, with the agent's available permissions.

Aegis documentation

How it behaves

Aegis is presented as a method pack projected into a skill-aware coding host. Its documented practices cover baseline-first planning, systematic debugging, prompt hygiene, verification before completion, and two-track repair or retirement tracking. The baseline is expected to include project owners, contracts, and boundaries. Completion evidence should be fresh, state the covered scope, and identify residual risk. Trivial requests can remain on the fast path.

Installation verification

The README requires verification from the installed method-pack root, not from the target project directory. Locate <aegis-method-pack-root> first, then run:

cd <aegis-method-pack-root> && python scripts/aegis-doctor.py --write-config --json

The installation is considered complete only when the JSON contains all of the following:

Field Required value
ok true
workspaceSupport available
configStatus configured

The --write-config option writes the configuration used by the doctor flow, while --json requests machine-readable output.

Host activation

For the official DeepSeek Harness (dsh), the README specifies native profile-plugin installation with dsh plugin --profile <profile> add github:GanyuanRan/Aegis. The direct-child compatibility path should not be substituted unless the plugin manager is unavailable and compatibility mode is explicitly approved. Host activation and automatic-entry checks must also be completed; file discovery or a generic doctor result is not sufficient when the host defines a plugin, hook, or session-start bootstrap contract.

Discovery options

When a host uses a separate skill discovery directory, repeat verification with --discovery-root <path>. If its host guide defines a skill-directory name prefix, also pass --discovery-name-prefix <prefix>. The README names Codex, Claude Code, OpenCode, and Kimi as other skill-aware hosts.

Written from the project's own documentation and kept in sync with it. Where the two disagree, the source is authoritative — read the README on GitHub

Same category

Alternatives to Aegis

dsh-skill-explorer

zhu1090093659

7.6k

Skill center for the dsh web GUI: browse all loaded skills grouped by source, enable or disable model invocation, create new skills, and delete into a recoverable trash.

Installed cleanly when we ran it

npm packageTypeScript15d ago

AI review

dsh-skill-explorer

What it is — Browse loaded skills in dsh web GUI, grouped by source. Enable or disable model invocation, create new skills and delete to a recoverable trash.

Who it is for — When you need to manage skill configurations across models in the dsh web, this plugin allows browsing, enabling or disabling invocation, creating new skills and deleting. If your work only involves session operations without skill customization, you don't need this plugin.

Watch out — Sandbox test passed. Successfully installed in a fresh profile and registered by Harness. No obvious issues found.

The verdict — I would install it because it provides tools for skill creation and recovery, which is necessary when extending model capabilities.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
Source

dashi-taskboard

chuspeeism

3.1k

现代化可灵活嵌入的任务面板,支持 Codex、DeepSeek Harness

Installed cleanly when we ran it

GitHub sourceJavaScript22d ago

AI review

dashi-taskboard

What it is — This is a modern embeddable task panel supporting Codex and DeepSeek Harness.

Who it is for — When using DeepSeek Harness to proxy processing of Codex project issues, people who need an embedded panel to manage issue status find this plugin useful. If you do not need to provide an API key or token and do not execute shell commands, this plugin is not applicable.

Watch out — Requires providing an API key or token and executing shell commands. Sandbox test passed in a fresh profile with registration into Harness. No obvious pitfalls found.

The verdict — I would install it because sandbox testing passed and it registers into Harness for stable support of Codex task management.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
2Source

vox-director

Alisa0808

2.1k

Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.

Installed cleanly when we ran it

GitHub sourcePython1mo ago

AI review

vox-director

What it is — DeepSeek Harness agent skill that automates turning one topic into a Vox-style paper-collage explainer/ad video.

Who it is for — If you are using a coding agent with DeepSeek Harness to generate explainer videos. If you prefer manual control over the video production process.

Watch out — Requires an Atlas Cloud API key and local ffmpeg installation. Static checks indicate it will execute shell commands, but sandbox test confirmed successful installation in a new profile and registration with harness. No obvious pitfalls found.

The verdict — I would install it because it can turn one topic into a finished explainer video.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
1Source

Minke

lencx

669

🐳 DeepSeek Harness Desktop

Did not install when we ran it

GitHub sourceTypeScript4d ago

AI review

Minke

What it is — Minke provides a native desktop workspace for DeepSeek Harness.

Who it is for — Users who need to provide an API key or token when using DeepSeek Harness are suitable to install it. Users who do not need remote access can skip it.

Watch out — Sandbox test shows after installation Harness did not register it into the profile. It needs to provide an API key or token. No other obvious issues found.

The verdict — I will not install it now because the sandbox test showed that after installation Harness did not register it into the profile; if the registration issue is fixed later I will consider it.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
2Source

superdesign-skill

superdesigndev

612

Design skill for UI and marketing graphics on the Superdesign canvas: reads the repo for context, extracts its design system, then generates and iterates branchable design drafts, flow pages, and reusable components through the Superdesign CLI.

Installed cleanly when we ran it

GitHub sourceJavaScript1mo ago

AI review

superdesign-skill

What it is — Superdesign-skill is a design skill that generates iterative design drafts for UI and graphics through the Superdesign CLI.

Who it is for — When iterating product feature page design in Cursor, this plugin provides support for design system extraction and draft generation. If all design tasks are handled in the superdesign.dev web app, then no need to install via plugin.

Watch out — Sandbox test passed: installation and registration into a new profile via harness succeeded. No obvious pitfalls found.

The verdict — I would install it because it supports cross-session continuity, allowing iterations to resume without repeating codebase discovery.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
1Details

jingyun-dsh

jingyunstudio

571

基于 Jingyun Studio + DeepSeek Harness (DSH) 打造的一站式 AI 商业化桌面客户端

Did not install when we ran it

GitHub sourceTypeScript9d ago

AI review

jingyun-dsh

What it is — Jingyun DSH Client is an AI commercialized desktop client based on DeepSeek Harness.

Who it is for — If you have an existing DeepSeek Harness instance and want to add Jingyun Studio's member system, it is suitable for installation. If your needs are only in the command line environment, you can directly use the original DeepSeek Harness.

Watch out — Sandbox test shows that after installation, Harness did not register it into the profile. It may be related to configuration. No other obvious defects found.

The verdict — It currently cannot be installed. I will wait for Jingyun Studio to fix the registration issue before deciding.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
1Source