The "ai-safety" topic on GitHub groups 8 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by dsh-auto-review with 198 GitHub stars. dsh-auto-review — Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns structured allow/deny verdicts with reasons, fail-closed by default, fully auditable from the session log (approval/asked -> autoReview/verdict -> approval/decided). Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns structured allow/deny verdicts with reasons, fail-closed by default, fully auditable from the session log (approval/asked -> autoReview/verdict -> approval/decided).
Claude Code-style declarative permission rules for DeepSeek Harness: ordered allow/deny/ask rules with tool-name, argument (glob/regex), and workspace-path matching on the tools/pre-execute waterfall, session-log audit, and HMR reload.
sofagent is an open-source FDE Harness for AI coding agents — on entry, write your business judgment into files (workflows, ontology, AI nodes); after departure, audit every change against them. 25 codified audit rules, tamper-evident chain, snapshots, and an MCP toolset (104 tools, 11 plugins). Everything can be FDEing.
DeepSeek Harness development forge: approval guard, dev Skills, GitHub/browser capabilities and Token Watch consumption supervision — install and get to work.
Make the DSH Coding workflow more deterministic! Delivered as both a DSH preset and a global plugin (usable in any session). Converge → normalize → implement: parallel TDD dual-loop convergence gates, adversarial cross-source review, per-source citation verification, advance technical collision search — every gate keeps an honest record, never silently turning green