@local/ds-pstack
适用于 DeepSeek Harness 的 pstack：严谨的代理工作流，每个子代理的模型都从你为子代理检查过的模型中选择。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:monkeyin92/ds-pstack#0f0ac0ed3293826cf3c917f8aa9f1b309222c219Ds Pstack 以 @local/ds-pstack 发布，当前版本为 0.1.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
pstack for DeepSeek Harness. pstack is Lauren Tan's set of agent workflows: write less code, but higher quality code, and parallelize with confidence.
This port keeps pstack's playbooks, principles, and prose rules. Two things change, because DeepSeek Harness works differently from Cursor.
The skills are the same skills. All 56 of them, in the / menu under their pstack names. /poteto-mode runs the playbook, /interrogate runs the adversarial review, /how explains a subsystem, and the 30 principle-* skills carry the reasoning pstack is built on.
The models are chosen for you, out of your own list. pstack on Cursor names a model slug per role. ds-pstack cannot do that, because a Harness profile's models are whatever you configured and checked. So the router reads the child's task, decides what kind of work it is, and picks the best route from the models you checked for subagents. You never name a model, and neither does a skill.
The package installs as a Harness bundle:
plugin_manager install_bundle /path/to/ds-pstack
That adds two plugin rows to the profile. Disable either one to keep the other.
| Row | What it does when disabled |
|---|---|
ds-pstack-skills | pstack's skills leave the catalog; routing still works |
ds-pstack-router | every child runs on the route it inherited; skills still work |
ds-pstack chooses only from the routes checked in Settings → Subagent model selection (subagent-model-selection-settings.allowedModels). That setting is the authorization boundary, so the router never widens it: a model you did not check is never sent, even when it would suit the task better.
Checking one model means every child runs on that model with a routing-chosen effort. Checking several means the router can match a cheap fast model to mechanical work and a strong one to review. Starting from a single model is fine and is how the router behaves before you add any.
To check models, open Settings, find Subagent model selection, enable it, and select the routes you want available.
Every delegated child makes a model request. Before the first one, the router:
planning, coding, debugging, review, research, analysis, writing, mechanical) and reads its difficulty;The decision is cached for that child, so one subagent keeps one route for all of its requests. The journal at ~/.dsh/ds-pstack-router.jsonl records every decision and every skip.
Three rules bound the guess:
provider/model/reasoning_effort, or a skill that pins a route, is left alone. The router only fills a choice nobody made.scores in the journal explain every decision. A phrase-hint score decides the intent, with ties going to the more specific reading: "rename the util file" is mechanical work, not a feature, even though it names a file. No model request is spent classifying, because a child should not wait on a judgement call before it starts.
pstack's four budget labels still apply. /setup-pstack writes the one you choose:
| Budget | Base effort | Effect |
|---|---|---|
unlimited | max | everything thinks as hard as its route allows |
large | xhigh | the pstack default |
medium | high | cheaper, still thorough |
small | medium | cheapest; mechanical work drops to low |
The intent shifts the base: implementation, debugging, and research start at the budget, review and prose one step below, mechanical edits two steps below. A task that reads hard goes up one step, an explicitly trivial one goes down one.
Run /setup-pstack. It reads your checked pool, asks for a budget, and writes ~/.dsh/ds-pstack-roles.json:
{
"budget": "large",
"intents": {
"feature": "magpie/group/deepseek-v4-1-flash",
"interrogate reviewers": "magpie/group/claude-opus-5-5 @ high"
}
}
Keys are pstack role names from the mode skill (feature, bug-fix, how explorer, swarm workers, interrogate reviewers, arena runners, and the rest), or an intent id directly. A value is a full provider/model route and an optional @ effort.
A pin wins over classification, which is what letting a human decide means. A pin whose route is no longer checked is treated as stale and ignored rather than sent, so unchecking a model also unpins it.
/create-verification-skill and /create-formal-verification-skill generate project-local skills, so agents can prove a change works instead of asserting it. They write to .dsh/skills/ in the project, which Harness scans, and project skills outrank ds-pstack's own.
Cursor-only machinery: Automations, the Bugbot feed, cloud agents, and -fast speed selection. Where a playbook step needs one, the skill says so in one line and continues. The full mapping is in docs/harness/deepseek-harness.md.
pstack is MIT licensed by Lauren Tan. Its license is kept in LICENSE.pstack, and the unmodified upstream README is in README.pstack.md. Skill text is pstack's, adapted only where a Cursor-specific name had to become a Harness one.
node --test "test/*.test.js"
72 tests cover classification and its positional weighting, effort mapping, model ranking, pool enforcement, pin handling, fork protection, failure recovery, frontmatter parsing, and catalog publication. They run with no build step and no dependencies.