Plugin Release logo

Plugin Release

Organization
oh-my-dsh
plugin-release

Package, publish, and distribute DeepSeek Harness (DSH) plugins — npm pack artifact validation, GitHub/npm/hub release-track selection, tarball overrides installs for the unpublished cohort (0.1.2-alpha.*), and CI/release gates with rollback. Use when publishing a plugin, packing a tarball, wiring a plugin into a profile/hub, or installing an alpha version that is not on npm; show a plan and obtain user confirmation before any publish action.

Overview

Publisheroh-my-dsh
Repositorydsh-plugin-upgrade-skill
Skill nameplugin-release
Stars
300
Forks
36
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by oh-my-dsh on GitHub. Read the source before you install it.

Installation

Install the Plugin Release AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/oh-my-dsh/dsh-plugin-upgrade-skill/tree/main/skills/plugin-release
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/oh-my-dsh/dsh-plugin-upgrade-skill.git /tmp/dsh-plugin-upgrade-skill
mkdir -p .claude/skills
cp -r /tmp/dsh-plugin-upgrade-skill/skills/plugin-release .claude/skills/plugin-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plugin Release in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plugin Release on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plugin Release is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

English | 简体中文

plugin-release

Ship developed, tested plugins safely. Publishing is a one-way outbound action — show a plan and obtain confirmation before any actual publish or tag push; this skill does not decide version numbers for you, and it never bumps versions automatically.

Step 0: confirm the target version and release track

Release trackApplies toKey facts
GitHub direct installdsh plugin --profile <p> add github:owner/repoConsumers resolve the default-branch HEAD; publishing = pushing to main — run the full gate before pushing
npm registrynpm publishOfficial release line only; alpha/rc-prefixed @deepseek-ai/* versions are not guaranteed on npm — verify with npm view <pkg> versions before publishing
hub listingregister in the hub catalogRegistration is a separate action and does not replace packaging validation
collectionmember plugins vendored into a pack artifactFollow the owning collection repository's own process

The unpublished cohort (for example a cohort version that was never published to npm — alpha.1 was GitHub-only; alpha.2 through alpha.4 are published under the alpha dist-tag) goes through the overrides flow in references/publish-playbook.md. Do not look for versions that do not exist on npm, and do not switch package managers because of it.

Step 1: pack and validate the artifact

  1. Use the repository's single package manager and lockfile (package-lock.json → npm, pnpm-lock.yaml → pnpm);
  2. Run the full gate (see Step 3), then npm pack / pnpm pack;
  3. Unpack and validate: files covers every runtime relative import and asset; no .ts leftovers in the artifact; the manifest files such as cordis.patch.yml / dsh.plugin.json / SKILL.md are all present;
  4. Install the tarball into an isolated profile for consumption validation (the plugin's row appears in dsh --profile compat --dump-config → the tool is genuinely registered and executes).

Step 2: version dependency baseline (alpha era)

  • devDependencies use the npm release line (currently 0.1.1-rc.2) as the type baseline, so a public repository typechecks after npm install on any machine;
  • peer ranges use a wide range (such as <0.2.0) to cover unpublished alphas/rcs;
  • when code must stay compatible with both the local harness (GitHub tag) and the npm release line, use the dual-compatibility pattern: keep the shape that the npm release line's types require, while the alpha runtime semantics remain unchanged (see the "dual-compatibility pattern" section of the playbook);
  • never write local absolute paths (junction/file:) into a committed package.json.

Step 3: release gate (layer by layer; a lower layer must pass before the next one)

  1. Dependency resolution: the lockfile changes only as expected; no mixed cohorts;
  2. Static: typecheck + plugin tests + build;
  3. Real mount: cold-boot the target host on an isolated profile pinned to an exact DSH tag (never let a mutable master/main masquerade as acceptance), with the entry active and no service left pending. Web Client plugins must additionally verify: the host-advertised resources (the bundle entry from the boot manifest/boot list) are reachable, the bundle registers successfully, the DOM mount completes, and there are no page errors — looking at --dump-config alone does not complete this layer;
  4. Behavior: one core path actually executes (for tool plugins: one message → tool → response; or an equivalent dedicated flow);
  5. Wrapper: verify exit codes and stdout/stderr attribution.

Step 4: release semantic gate (stop publishing if any check fails)

  1. The GitHub Release tag must equal v${package.json.version};
  2. Whether the version carries a prerelease suffix (the segment after -, before the + build metadata) must match the GitHub Release's prerelease status;
  3. Prereleases may only go to a project-declared non-latest dist-tag (the name is chosen by the project, such as next or alpha — the skill does not hard-code a specific name); only stable versions without a suffix go to latest;
  4. Before a stable publish, query the current latest (npm view <pkg> dist-tags.latest) and refuse to publish when the semver is lower than the existing latest, to prevent moving latest backwards to a lower version.

Step 5: publish and rollback

  • Before publishing: clean commit + tag; record the lockfile and composition baseline hashes;
  • After publishing: reinstall once as a consumer and smoke-test;
  • Rollback: prefer reverting the release (delete the tag / re-point at the old commit); do not publish a "works on both sides" patch to paper over the problem;
  • For unpublished-cohort CI, see the "CI and release gates" section of the playbook (cohort store caching, the NPM_PUBLISH_ENABLED switch).

Safety boundaries

  • Show a plan and obtain confirmation before any publish / tag push / hub registration write; never bump versions automatically;
  • Never publish artifacts containing credentials, .npmrc contents, session logs, or private paths;
  • Do not switch package managers or rewrite a different lockfile; on failure, roll back only the paths owned by this run and report residue.

References

FileContents
references/publish-playbook.mdUnpublished-cohort installation, dual-compatibility pattern, CI/release gates, real pitfall list, and rollback recipes
references/profile-dependency-management.mdProfile install/update recipes: github dependency lock caching, three-place sync on package rename, junction cleanup, and host-upgrade linkage

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Plugin Release AI skill do?

Package, publish, and distribute DeepSeek Harness (DSH) plugins — npm pack artifact validation, GitHub/npm/hub release-track selection, tarball overrides installs for the unpublished cohort (0.1.2-alpha.*), and CI/release gates with rollback. Use when publishing a plugin, packing a tarball, wiring a plugin into a profile/hub, or installing an alpha version that is not on npm; show a plan and obtain user confirmation before any publish action.

Why use Plugin Release on TypingMind?

Because you install it once and use it with any model. Plugin Release is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plugin Release in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oh-my-dsh/dsh-plugin-upgrade-skill/tree/main/skills/plugin-release. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Plugin Release?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plugin Release?

As many as you like. As long as a model supports skills, you can use Plugin Release with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plugin Release AI skill free?

Yes. It is published on GitHub by oh-my-dsh under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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