dsh-skill-curator
DeepSeek Harness 自动技能策展插件：后台评审子代理定期复盘对话，自动创建/更新 SKILL.md，让智能体在真实使用中持续自我进化，零侵入、不改 dsh 源码。Automatic skill curation for DeepSeek Harness — a background subagent reviews conversations periodically and creates/updates SKILL.md files; zero-intrusion bundle plugin, no dsh source changes.
The plugin will be installed here. Keep web if you are unsure.
npx -y @deepseek-ai/dsh plugin --profile web add github:runfali/dsh-skill-curator#307ea8a05fa78e077f37e18dc055a3bcc7b85694
Skill Curator is published as dsh-skill-curator and currently resolves to version 0.1.5-rc.1. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.
Automatic skill curation for DeepSeek Harness (DSH). After every N real conversation turns (default 3), the plugin fires a background subagent that reads a digest of the session and creates or updates SKILL.md files under the user skills directory (~/.dsh/skills/<name>/SKILL.md) — the same self-improvement loop Nous Research's Hermes Agent runs, ported to DSH as a zero-intrusion bundle plugin.
中文说明见 README.zh-CN.md.
turn ends ──▶ agent/turn-stopping (scoped listener, counted per agent)
│ 3 turns reached? (skillNudgeInterval)
▼
async fire-and-forget (never blocks the turn close)
▼
session digest built ──▶ latest N messages verbatim + older turns compressed
▼
spawn subagent (provider: spawn) with digest + review instructions
│ toolFilter allow = skill-library-* only (whitelist, hermes-style)
▼
subagent reviews and writes ~/.dsh/skills/<name>/SKILL.md
│ frontmatter is stamped author: dsh-skill-curator (ownership marker)
▼
summary logged (host journal) + visible in the settings card status panel
Backstage review subagent in the Tasks panel
The review subagent runs as a visible task in the Tasks panel — here you see queued/idle skill review entries; open the panel to watch a curation as it happens.
Manual trigger: /skill-refine [focus] runs a review of the current session immediately.
| Hermes | dsh-skill-curator |
|---|---|
| turn_finalizer nudge counters (10) | scoped agent/turn-stopping counters (3, configurable) |
| fork of AIAgent in a daemon thread | platform subagent (ctx.subagents.start) — visible in the UI, fully isolated session |
| replay full conversation (warm prefix cache) | digest injection (tail-verbatim + head compression) — DSH has no cache advantage |
| runtime tool whitelist (memory+skills) | toolFilter.allow whitelist + prompt constraint |
| curator ownership markers | frontmatter author: dsh-skill-curator + skill-library-adopt |
/refine | /skill-refine command |
Behavioral parity matrix: docs/COMPARISON.md.
cd /path/to/dsh-skill-curator
dsh plugin --profile web add ./
# restart dsh, then open: Settings → Plugins tab → "Skill Curator" card
Skip the restart? The plugin only takes effect on next start (standard bundle plugin; no dsh source changes, ever).
| Settings card (part 1) | Settings card (part 2) |
|---|---|
| Settings card 1/2 | Settings card 2/2 |
/chat/completions). When reviewBaseUrl + reviewModel are set, the review subagent runs against that endpoint through a dedicated adapter route (provider name = reviewProvider, or skill-curator-review by default). Settings are read live on every request — no restart needed~/.dsh/skill-curator/reviews.json (last 50 entries) — survives plugin removal/reinstall and restarts⚠️已回退主模型 in host log / review log / status panel); ② if the final attempt then dies on an endpoint-class error or a detail-less killed, it retries up to reviewRetryCount times with reviewRetryDelayMs backoff — a model connection blip no longer loses the review. Tool-layer errors are never retriedkilled; 0 disables retrying. Tool-layer errors are never retried. Default 1base × n ms (default 5000)The review subagent can only call these six (they are also usable by any session):
| Tool | Purpose |
|---|---|
skill-library-list | list skills (name, description, owned?) |
skill-library-read | read one SKILL.md |
skill-library-create | create a class-level umbrella skill (Chinese body, bilingual description) |
skill-library-patch | targeted oldString→newString or whole-body replacement (frontmatter preserved) |
skill-library-write-file | support files under references/ templates/ scripts/ |
skill-library-adopt | take ownership of an unowned skill (stamps the author marker) |
Ownership guard: only skills stamped author: dsh-skill-curator or listed in adoptSkills can be patched; everything else is refused with an explicit "adopt first" message. Paths are boundary-checked; writes are atomic (tmp + rename).
// package.json — machine-readable
"engines": { "node": ">=22" },
"dependencies": {
"@deepseek-ai/dsh-llm": "^0.1.5-rc.1",
"@deepseek-ai/dsh-settings": "^0.1.5-rc.1",
"@deepseek-ai/dsh-subagent": "^0.1.5-rc.1",
"@deepseek-ai/dsh-tools": "^0.1.5-rc.1",
"@deepseek-ai/schemastery": "^3.18.2"
},
"dsh": { "engines": { "dsh": ">=0.1.2-alpha.3 <0.2.0 || >=0.1.5-alpha.1 <0.1.6" } }
@deepseek-ai/dsh 0.1.5-rc.1 (Node v24).[major,minor,patch] tuple, so the plain <0.2.0 group does not cover 0.1.5-rc.1. test/entry.test.mjs pins this with a 10-row decision table, a counter-proof (reverting to the old single range turns red), and a cross-check against the host's real semver.satisfies.test/entry.test.mjs guards this (no install/postinstall/prepare, no optionalDependencies, dependency scope limited to @deepseek-ai/*).pnpm install # needs proxy/cache off the default npm cache on some hosts
npm test # entry + unit + smoke + client-smoke (all suites)
node test/entry.test.mjs # entry load, manifest, engines range, key-set parity, dep hygiene
node test/smoke.mjs # module/tool/whitelist smoke
node test/client-smoke.mjs # client bundle smoke (real component-tree execution)
docs/EVIDENCE.md records the isolated-instance install/start/E2E run (disposable DSH_HOME, no deployed instance touched); docs/AUDIT.md records the audit rounds.
MIT