dsh-score
Multi-dimensional quality scoring for DeepSeek Harness plugins. Given a repo or npm package, it gathers real gh/npm CLI evidence and scores five dimensions — install success (consuming dsh-test-drive results when present), maintenance activity, documentation completeness, security scan, and protocol compliance — into a risk card with a weighted total and letter grade, plus a JSON/Markdown leaderboard.
一句话定位 (中文): 基于真实 gh/npm 证据对 DSH 插件做五维质量评分(安装成功率/维护活跃度/文档完整性/安全扫描/协议合规),输出风险卡与排行榜。
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Compatibility
| Component | Version |
|---|---|
| DeepSeek Harness | 0.1.0-rc.6 (peer dependencies pinned) |
| Node.js | ^22.19.0 || >=24.0.0 |
| Package manager | pnpm@11.7.0 |
| Platform | Windows / macOS / Linux (host-only plugin) |
| External tools | gh CLI on PATH (authenticated for API reads), npm CLI on PATH |
What you get
scoretool — one target through the five-dimension pipeline; returns the structured risk card, or{ kind: 'background', jobId }withbackground: true./scorecommand — batch scoring of a whitespace/comma-separated target list as ascore-batchbackground job overctx.jobs, producing a leaderboard snapshot (JSON + Markdown).score_reporttool — fetch any stored score card (sc_...), leaderboard (lb_...), or the latest leaderboard.- Five dimensions (weights configurable, defaults sum to 100): install success
25, maintenance20, documentation20, security20, compliance15. - Evidence discipline — every dimension records its audit links (
source, sanitizeddetail,observedAt); a dimension without evidence reportsno-evidence(score 0, excluded from the weighted total), never a fabricated number. - Structured results — every record carries
schema: "dsh-score/v1"with first-class fields; this is the machine-readable contract downstream tooling consumes.
Quick start
Git channel
dsh plugin --profile web add github:PerryLink/dsh-score#<commit-sha>
The first add fails because pnpm blocks the package's prepare build; copy the exact key pnpm printed into the profile's pnpm-workspace.yaml and re-run:
allowBuilds:
'dsh-score': true
npm channel
dsh plugin --profile web add dsh-score
Prebuilt packages need no build allowance. Restart the profile, then use score / /score from a session.
Install & uninstall
dsh plugin --profile web add dsh-score # install (npm) — or the git form above
dsh plugin --profile web remove dsh-score # uninstall
Configuration
All keys are optional (defaults shown); invalid values fail loudly at load.
| Key | Default | Description |
|---|---|---|
probeTimeoutMs |
60000 |
Deadline for one gh/npm probe command. |
outputTailBytes |
8000 |
Cap on the sanitized output tail recorded per probe. |
cacheMaxAgeMs |
86400000 |
How long a cached score card is reused before re-scoring (0 disables the cache). |
staleCommitWarnDays |
90 |
Commit/publish age at which maintenance drops to warn. |
staleCommitFailDays |
365 |
Commit/publish age at which maintenance drops to fail. |
staleIssueWarnDays |
30 |
Oldest-open-issue age (response proxy) at which maintenance drops to warn. |
staleIssueFailDays |
180 |
Oldest-open-issue age at which maintenance drops to fail. |
maxBatchTargets |
20 |
/score batch cap. |
batchConcurrency |
1 |
Batch concurrency (serial avoids API-rate contention). |
weights |
{install:25, maintenance:20, documentation:20, security:20, compliance:15} |
Per-dimension weights (each 0–100; at least one must be > 0). |
Tools & surfaces
score
score(target: string, refresh?: boolean, background?: boolean)
target— a GitHub repo (github:owner/repo,owner/repo, a git/https URL) or an npm package name.refresh: truebypasses the score cache and re-gathers evidence.background: truestarts ascore-batchjob and returns its id.
/score <targets...>
Starts one background batch job; progress streams through the job output, and the final line names the leaderboard id for score_report.
score_report(id?)
Returns a score card (sc_...), a leaderboard (lb_...), or — with no id — the latest leaderboard.
Structured result sample
{
"schema": "dsh-score/v1",
"scoreId": "sc_8f1c2e4a9b3d7f01",
"target": { "kind": "repo", "spec": "github:owner/dsh-click#abc123" },
"scoredAt": "2026-08-16T00:00:00.000Z",
"durationMs": 3210,
"pluginVersion": "0.1.0",
"dimensions": {
"install": { "dimension": "install", "status": "no-evidence", "score": 0, "weight": 25,
"summary": "no dsh-test-drive result recorded for this target (install success unmeasured)",
"evidence": [{ "source": "test-drive", "detail": "no test-drive record found in the test_drive domain", "observedAt": "2026-08-16T00:00:00.000Z" }] },
"maintenance": { "dimension": "maintenance", "status": "pass", "score": 100, "weight": 20,
"summary": "active (2026-08-10T00:00:00Z; 0 open issues)",
"evidence": [{ "source": "gh-api", "detail": "last activity 2026-08-10T00:00:00Z", "observedAt": "2026-08-16T00:00:00.000Z" }] }
},
"total": 88,
"grade": "B",
"verdict": "healthy (weighted total 88/100)"
}
Scoring: the total is a weighted average over dimensions that gathered evidence (no-evidence dimensions are excluded and renormalized); A ≥ 90, B ≥ 75, C ≥ 60, D ≥ 40, else F, and N/A when nothing had evidence.
Permissions & data
- Only public services are consumed:
ctx.subprocess,ctx.jobs,ctx.storageDomain,ctx.tools,ctx.commands. - Score cards and leaderboards are stored in the
scorestorage-domain (tablesscores,leaderboards; latest-leaderboard pointer). When the composition has nostorageDomain(e.g. the shipped headless profile), tools still work and score persistence is disabled with a logged reason. - Child processes inherit the provider's credential-scrubbed environment;
ghreads its own credential store. No environment value is ever logged. - All report/log strings pass through pure sanitizers: token literals, URL credentials, and bearer headers are redacted, and tails are byte-capped.
Security boundaries
- No code execution. The pipeline runs
gh apiandnpm viewonly; it never installs, builds, or runs a target. - Argv-only subprocesses. Every CLI invocation is an argv array, never shell-interpreted; repo owner/repo segments are validated against a restricted character set before use in an endpoint.
- Evidence discipline. No score is fabricated: a probe that fails or returns unparsable output yields
no-evidence, never a number. - Detection vs redaction. Secret-leak and malicious-install-script detection share the same pure regexes as redaction; both are unit-tested against extreme inputs.
Known limitations
- Repository probes require
ghto be authenticated and network access to GitHub; npm probes requirenpmand registry access. - A target without a resolvable GitHub repository cannot be inspected for documentation, security, or compliance (those dimensions report
no-evidence). - Install success depends on
dsh-test-drivebeing mounted and having recorded the target; otherwise it is honestlyno-evidence. - The maintenance "issue response" signal is a proxy (oldest open issue age), not a direct response-time measurement.
- Score results are cached per target; use
refresh: true(or wait pastcacheMaxAgeMs) to force re-scoring.
Development
pnpm install
pnpm run typecheck && pnpm run typecheck:ci && pnpm test
pnpm run build && pnpm run verify:self-contained && pnpm run verify:artifacts && pnpm pack
typecheckresolves@deepseek-ai/*through the local harness checkout;typecheck:cichecks against the published0.1.0-rc.6types.- Tests use the real
Context/Session/ToolRuntime/LocalJobRegistry/storage stack with a scripted subprocess provider. - Real-CLI scoring (requires
gh/npmon PATH,ghauthenticated): invokescorefrom a mounted profile. - Release:
node scripts/release.mjs <x.y.z>(bumps, stamps CHANGELOG, re-runs the gate, commits + tags; never pushes).
Topics
dsh, dsh-plugin, deepseek-harness, deepseek, cordis, plugin-scoring, quality-score, leaderboard, supply-chain
Contributors
PerryLink — design and implementation.
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