packages/dsh-skill-explorer
zhu1090093659/dsh-web技能中心:按来源分级浏览已加载的全部 skill,启用/禁用模型调用、创建新技能、删除进可恢复回收站。
给每个任务加上严格验证:把任务拆成 2-7 步,用 worker 子代理执行,每个交付物都由无记忆的独立 verifier 子代理验证,最多修 3 轮后如实汇报。
Plan → Execute → Verify → Fix, enforced on every task, as a DeepSeek Harness plugin. The skill ships inside the bundle: install the plugin and the skill is there, with nothing to copy into a skills directory.
A minimal planning skill: break the request into 2–7 steps, execute each with a worker subagent, verify every deliverable with an independent memoryless verifier subagent, and fix in at most three cycles before reporting honestly.
DeepSeek Harness Desktop — open Plugins in the sidebar, choose Add plugin, and enter:
https://github.com/bauerelizabeth07139/simple-plan
Then switch the new dsh-simple-plan bundle on. The Desktop app boots the
reserved desktop profile, so that is where it has to be enabled.
dsh CLI — install it into the profile you actually boot:
dsh plugin --profile web add bauerelizabeth07139/simple-plan
No git on the machine? pnpm resolves a git shorthand with git ls-remote,
which fails with 'git' is not recognized when git is missing. Use the tarball
instead — that path is plain HTTPS:
dsh plugin --profile web add https://codeload.github.com/bauerelizabeth07139/simple-plan/tar.gz/master
The same address works in the Desktop Add plugin dialog. Replace master
with a commit SHA to pin an exact revision (/tar.gz/<sha>).
Uninstall with dsh plugin --profile web remove dsh-simple-plan.
subagent, never subagent_fork) and report PASS or FAIL with
evidence.The full instructions live in skills/simple-plan/SKILL.md.
The plugin registers that file as a bundled skill through the Harness skill
registry, so it can be triggered by the model and invoked by the user.
The rules are unchanged; the tool names are the Harness's:
| Codex | DeepSeek Harness |
|---|---|
multi_agent_v1__spawn_agent(message=…, fork_context=false) | subagent(description=…, prompt=…) |
multi_agent_v1__wait_agent(targets=[…]) | subagents report back on their own; the parent collects results |
apply_patch | edit / write |
shell | pwsh (Windows) or the session's shell tool |
read_file | read |
The one substantive gain: DSH gives every agent read_image, so a verifier can
inspect a screenshot even when the session model has no built-in vision. The
skill tells it to.
No build step and no runtime dependencies — @deepseek-ai/cordis and
@deepseek-ai/dsh-skill are peers supplied by the Harness.
npm test # node >= 22: manifest, card metadata, loader patch, skill, syntax
index.js is the whole host half: it registers the bundled skill provider.
cordis.patch.yml is the loader row that mounts it.
| Path | Purpose |
|---|---|
index.js | the DSH plugin: registers the bundled skill |
cordis.patch.yml | the loader row that activates the plugin |
skills/simple-plan/SKILL.md | the skill itself, in Harness tool names |
locale/{en,zh}.json | card title and description for the plugin lists |
assets/icon.svg | card artwork |
test/plugin.test.mjs | static composition checks |
SKILL.md, AGENTS.md | the original Codex skill and instructions, unchanged |
The repository still contains the original files, byte for byte. On Codex:
git clone https://github.com/bauerelizabeth07139/simple-plan.git
cd simple-plan
cp -r . ~/.codex/skills/.system/simple-plan
No AGENTS.global.md is needed for the Codex skill. Note that DSH also reads
AGENTS.md — including a user-global $DSH_HOME/AGENTS.md — so if you want the
rules applied outside a skill invocation, that file is the place.