Install payload
Install payload is mixed and needs spot-checking.
58% (7/12)
1 trusted · 10 review · 1 limited in this set — compare to see which signals differ.
12 results in this view
3 trust signals differ in this sample: Package trust, Source provenance, Submitter
Signals differ on Package trust, Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is mixed and needs spot-checking.
58% (7/12)
Adoption queue
6/12 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/hugging-face-mcp-server · trust trusted · confidence 83%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/explain · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/anki-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
skills/huggingface-skills · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
guides/microsoft-ai-agents-for-beginners · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/ac-tandem-docs-mcp-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
42/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
agents/full-stack-ai-development-agent · trust limited · confidence 67%
2 blockers: Metadata review, Install payload
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/axolotl · trust review · confidence 50%
Decision confidence
5/12 results are low-confidence and need review before adoption.
Confident candidate for staged adoption.
74/100
mcp/hugging-face-mcp-server · trust trusted
Address Metadata review, Package integrity before broader rollout.
54/100
commands/explain · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/anki-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
skills/huggingface-skills · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
guides/microsoft-ai-agents-for-beginners · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/ac-tandem-docs-mcp-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
48/100
agents/full-stack-ai-development-agent · trust limited
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/axolotl · trust review
Freshness distribution
Median age 53 days; 9 fresh, 3 aging or stale of 12 scanned.
Theme distribution
51 distinct themes with no dominant one. Most common: machine-learning, fine-tuning, ai.
51 distinct themes across 12 scanned
Public streamable HTTP MCP server for Tandem documentation—install guides, SDK references, workflow docs, headless deployment, and docs-grounded setup help for the Tandem governed runtime.
Apache-2.0 Python framework for building and sharing machine-learning demos, AI web apps, model interfaces, chatbots, API front ends, and interactive evaluation tools.
MCP server for Anki flashcards that lets Claude review cards, manage decks, create and update notes, handle tags and media, inspect stats, and drive Anki desktop GUI workflows.
Intelligent code explanation with visual diagrams, step-by-step breakdowns, and interactive examples
Open-source library for fast, memory-efficient fine-tuning, reinforcement learning, and training of open LLMs — train 500+ models up to 2x faster with up to 70% less VRAM and no accuracy loss, with LoRA/QLoRA support and export to GGUF, safetensors, vLLM, and Ollama.
Free open-source, config-driven LLM fine-tuning framework covering full and parameter-efficient fine-tuning (LoRA, QLoRA), preference tuning (DPO, KTO, ORPO), and reinforcement learning across many model families through declarative YAML configs.
Microsoft open-source course for learning AI agents with lessons on agentic frameworks, design patterns, tool use, agentic RAG, trustworthy agents, planning, multi-agent systems, MCP/A2A/NLWeb, memory, browser use, and Microsoft Agent Framework.
Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.
Apache-2.0 distributed AI compute engine for scaling Python, ML data processing, training, tuning, reinforcement learning, and model serving workloads.
Access Hugging Face Hub and Gradio AI applications
Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.
Full-stack AI development specialist bridging frontend, backend, and AI/ML with AI-assisted coding workflows, intelligent code generation, and end-to-end type safety