aegis
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
10 results
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
Evidence-driven learning memory and automation for Git-native AI agents
Evidence-driven mathematical modeling and verification skills for DeepSeek Harness
A reusable DeepSeek Harness bundle for evidence-driven memory, orchestration, benchmark operations, repository audits, and plugin release workflows.
Cordis-native, evidence-driven full-stack engineering discipline for DeepSeek Harness agents
Evidence-driven system architecture reconnaissance for DeepSeek Harness
Evidence-driven company and job intelligence plugin for DeepSeek Harness.
Shared handoff kit for DeepSeek Harness: evidence-driven handoff and repo-local task-id state skills, cross-platform (macOS/Linux/Windows).
Evidence-driven runtime optimization for DeepSeek Harness: deterministic stuck detection + STRATEGY_RESET intervention, as a detachable DSH plugin.
Evidence-driven Feishu/Lark document writing skill for DeepSeek Harness (dsh) — turn Feishu wiki/docs/minutes/Base/chats & local files into structured docs with conclusions, evidence & actions. 飞书文档证据化编写技能插件:从业务资料到可验证、结构化、可执行的飞书成稿(战略方案/经营分析/GTM/复盘/PRD/管理汇报等)。