Explore agentic-actions-auditor as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
Explore agentic-actions-auditor as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
A user who can review the publisher setup and validate this capability on a small, reversible task. This is a metadata listing; a detailed use-case review is not yet available.
claude-code
Publisher manifest for claude-code; runtime behavior not tested
Review the publisher setup, permissions, credentials and service costs before use.
Open the pinned package below and follow its publisher instructions for your agent. A Skills installer is not a universal plugin installer. Review hooks, bundled MCP connections, permissions and configuration before enabling the package.
plugins/agentic-actions-auditor/.claude-plugin/plugin.jsonPresence is a static file/manifest observation. A missing declaration does not prove the component is absent at runtime.
Unknown; source software and connected services may have separate terms.
Unknown — no runtime security assessment.
Only sanitized manifest/registry metadata and bounded documentation are inspected. Package code, transitive dependencies, hooks and remote services have not been audited. Review access before use.
Matched by the same repository and package directory. Presence does not mean the bundle has been installed or tested.
Explore agentic actions auditor as a automation & agents workflow from trailofbits/skills. Compare its source, maintenance and review signals before choosing it for your agent.
Repository star change: +26 over 26.7 hours. 2026-11-01
Category-based discovery suggestions. Review functional overlap; these combinations have not been integration-tested.
A workflow for selecting GGUF model files and running or serving them locally with llama.cpp.
Repository star change: +2 over 26.7 hours. 2026-11-01
A JavaScript inference reference for model pipelines, WebGPU or WASM execution, quantization and resource management.
Repository star change: +2 over 26.7 hours. 2026-11-01
Integrate an exact Runway model endpoint behind an application server and handle its task lifecycle.
Category-based discovery suggestions. Review functional overlap; these combinations have not been integration-tested.
Explore learning-output-style as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
Explore ralph-loop as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
Explore c-level-skills as an agent plugin package for ai & machine learning. Review its supported format, bundled components and setup requirements before installing.
Category-based discovery suggestions. Review functional overlap; these combinations have not been integration-tested.
An MCP documentation service with declared remote and local package options, suited to questions tied to a specific library and version.
Explore Klarion as an MCP connection for ai & machine learning. Compare the declared transport, package requirements and source evidence before connecting an agent.
Explore AI Proof of Us as an MCP connection for ai & machine learning. Compare the declared transport, package requirements and source evidence before connecting an agent.
Choose a complementary capability only after checking for duplicated permissions and bundled connections. Agent Stacks explain the roles and validation steps; they are proposals, not tested integrations.
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