Multi-dimensional quality scoring for DeepSeek Harness plugins: scores a repo or npm package across install success (consuming dsh-test-drive results), maintenance activity, documentation completeness, security scan, and protocol compliance — every conclusion backed by real CLI evidence with audit timestamps.
Security scanner for DSH plugins: static and semantic passes over plugin source, DSH-specific attack-surface rules, npm audit, batch scanning, and an HTML report with per-finding severity and evidence.
The SEO audit toolkit built for DeepSeek Harness (DSH) — runs locally, no Claude Code, no API key required. Self-contained port of claude-seo v2.2.5: 53 Python scripts + 24 sub-skills + 18 agents, weighted score, gated fan-out, schema.org, E-E-A-T, GBP, GEO/AI Overviews.
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness — strict evidence, health-checked failover, original pixels, and Token accounting.
Plugin Store for DeepSeek Harness (DSH): a graphical app-store inside the Harness Web UI — browse, search and one-click install GitHub dsh-plugins (topic:dsh-plugin / #dsh-plugin repos), with local ratings, dependency impact graphs, audit logging and a plugin scaffold guide.
Trust pipeline for deepseek-harness plugins: deterministic static scan (11 rules) + LLM-driven audit protocol + two-part scorecard, with optional runtime guard (T1 sentinel / T2 fs & child_process hooks) and honeypot decoys. Monitor-and-alert only — vet never blocks or kills on its own.
A structured multi-panelist review workflow for the DeepSeek Harness: N panelists score in isolated subagents, blind to each other; a chair reconciles disagreement by anchor match then Δ-level adjudication; an independent critic audits the process. Works for design, code, paper or project review.