Failures during install. #79
Description
There are failures during installation because the AGENTS.md file isn't formatted correctly.
c:\death\now\github\gemini-cli>gemini extensions install https://github.com/huggingface/skills
Loaded cached credentials.
Installing extension "huggingface-skills".
This extension will run the following MCP servers:
* huggingface-skills (remote): https://huggingface.co/mcp?login
This extension will append info to your gemini.md context using agents/AGENTS.md
Agent Skills:
This extension will install the following agent skills:
* gradio: Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\huggingface-gradio\SKILL.md) (2 items in directory)
* hugging-face-trackio: Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-trackio\SKILL.md) (3 items in directory)
* hugging-face-tool-builder: Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-tool-builder\SKILL.md) (2 items in directory)
* hugging-face-paper-publisher: Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-paper-publisher\SKILL.md) (5 items in directory)
* hugging-face-model-trainer: This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-model-trainer\SKILL.md) (3 items in directory)
* hugging-face-jobs: This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-jobs\SKILL.md) (4 items in directory)
* hugging-face-evaluation: Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-evaluation\SKILL.md) (4 items in directory)
* hugging-face-datasets: Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-datasets\SKILL.md) (4 items in directory)
* hugging-face-dataset-viewer: Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
(Source: c:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hugging-face-dataset-viewer\SKILL.md) (1 items in directory)
* hf-cli: Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.
(Source: C:\death\now\AppData\Local\Temp\gemini-extensionKE9UqP\skills\hf-cli\SKILL.md) (1 items in directory)
The extension you are about to install may have been created by a third-party developer and sourced from a public repository. Google does not vet, endorse, or guarantee the functionality or security of extensions. Please carefully inspect any extension and its source code before installing to understand the permissions it requires and the actions it may perform.
Agent skills inject specialized instructions and domain-specific knowledge into the agent's system prompt. This can change how the agent interprets your requests and interacts with your environment. Review the skill definitions at the location(s) provided below to ensure they meet your security standards.
Do you want to continue? [Y/n]: y
[ExtensionManager] Error loading agent from huggingface-skills: Failed to load agent from C:\death\now\.gemini\extensions\huggingface-skills\agents\AGENTS.md: Invalid agent definition: Missing mandatory YAML frontmatter. Agent Markdown files MUST start with YAML frontmatter enclosed in triple-dashes "---" (e.g., ---
name: my-agent
---).
Extension "huggingface-skills" installed successfully and enabled.
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