kepano/obsidian-skills
Obsidian Skills provides a collection of agent skills enabling AI agents to interact with Obsidian vaults, facilitating content creation and editing of Markdown, Bases, and JSON Canvas files, as we...
Awesome AI Agents › AI Agent Development
ruvnet/metaharness
MetaHarness describes itself as a factory for agent frameworks rather than another agent framework. Given a GitHub URL or a blank slate, it mints a repository-aware harness: a CLI published under the user chosen name, a repository-aware coding agent, a local MCP server, a memory namespace scoped to the project, skills derived from the actual file layout, a governance policy, release verification gates and witness-signed provenance. The output is an npm-publishable archive carrying the author own branding. Generation runs from the command line through npx or from a browser studio, and the project states that nothing leaves the machine during scaffolding. A generated harness can target one or several hosts, including Claude Code, OpenAI Codex, pi.dev, Hermes, OpenClaw, RVM and Prime Agent, with host-specific adapters translating tools into whatever the host understands; the Prime Agent adapter, for example, emits Python-backed project-scoped skills because that host has no MCP support, and ships an explicit sandbox-required note when a deny-list cannot be enforced. A scoring command reads a repository without executing it and reports how well a harness would fit, how likely the build is to succeed, how safe the tools are and the approximate cost per run. Companion packages extend the generated harness: a router that picks the cheapest model meeting a quality bar from the user own results, a self-improvement mode that mutates harness configuration in a sandbox and keeps only changes that measurably improve benchmark scores while the model stays frozen, a governed autonomous variation runtime with budgets, quarantine, rollback and signed replay receipts, and an experimental ARC-AGI-3 controller exposed as a remote MCP server. The README marks several performance claims as deferred behind preregistered evaluation gates rather than asserting them.
https://github.com/ruvnet/metaharness
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