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Canary Decision Proof — DSH Plugin for DeepSeek Harness
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dsh-canary-decision-proof

Canary Decision Proof

Offline content-addressed proof that a canary decision follows explicit evidence policy

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:dongsheng123132/dsh-canary-decision-proof#de93a4f917550db159b2814d580c0e8e0cfc19ee
READMECompatibilityVersions

Compatibility and provenance

Canary Decision Proof is published as dsh-canary-decision-proof and currently resolves to version 0.1.1. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
9/7/2026

Versions

0.1.1stable
9/7/2026
0.1.0
stable
8/26/2026

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Latest
0.1.1
DSH
*
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Process restart
Tree shaking
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Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
9/7/2026
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README

DSH Canary Decision Proof

Offline, deterministic evidence that a recorded canary promote, abort, or pause decision follows one explicit, hash-only policy.

This plugin does not execute a rollout, query live metrics, authenticate receipts, grant authorization, prove statistical significance, or prove user outcomes. It verifies supplied evidence and fails closed to pause when that evidence is incomplete.

Boundary

  • dsh-ankh-guard supervises a running DSH instance, performs a health canary, and can automatically roll back. This plugin never starts, stops, promotes, or rolls back anything.
  • dsh-artifact-promotion-proof proves an ordered artifact promotion chain. This plugin recomputes the decision immediately before such a promotion.
  • dsh-deployment-rollback-proof proves last-known-good convergence after failure. This plugin decides whether supplied canary evidence says promote, abort, or pause.
  • Argo Rollouts provides a live progressive-delivery controller. This plugin is a controller-neutral, offline evidence verifier.

Evidence model

The manifest pins canary and baseline artifact digests, environment, rollout and policy receipts, exact analysis windows, maximum canary traffic, minimum window length, observer threshold, evidence freshness, and metric rules. Every metric requires one baseline and one canary observation in every window.

Metric values are positive fixed-point integers (valueMicros). For higher-better, regression is (baseline - canary) / baseline; for lower-better, it is (canary - baseline) / baseline. Integer basis points make the judgment deterministic. A metric fails when breached windows reach its declared failureLimit.

Decision precedence is fixed:

  1. incomplete, stale, unbound, under-sampled, over-exposed, or chronologically invalid evidence → pause;
  2. otherwise any failed metric → abort;
  3. otherwise → promote.

The recorded decision is verified only when it equals that computed decision.

Use

npm test
node bin/dsh-canary-decision-proof.mjs inspect examples/promote.json
node bin/dsh-canary-decision-proof.mjs verify examples/promote.json

DSH exposes dsh_canary_decision_inspect and dsh_canary_decision_verify. The independent stdio MCP server exposes canary_decision_inspect and canary_decision_verify.

The DSH verifier writes only beneath an explicit workspace-relative artifactDir, rejects path escape and symlinks, creates a content-addressed report exclusively, and verifies it by read-back. Reports contain hashes, counts, timestamps, fixed-point comparisons, checks and verdicts—not raw business text or secrets.

See examples/promote.json and SECURITY.md. Node.js 22 or later is required. Licensed under MIT.