Goodfire
Official@goodfire-ai
Understanding and intentionally designing the next frontier of safe and powerful AI systems.
Agent Skills by Goodfire
Showing 11 vetted skills indexed across 1 GitHub repositories.
goodfire-aisetup-task
Generate causalab task packages from markdown specifications with validation.
goodfire-aidevelopment-session
Establish development-mode context for codebase work using uv-managed environments.
goodfire-aiplan-experiment
Create structured experiment plans with analysis DAGs and pre-flight gates.
goodfire-aidocument-issues
Append structured markdown entries to a session issues.md log.
goodfire-aisetup-analyses
Scaffold session-local analysis code and Hydra configs from spec markdown files.
goodfire-aireplicate-paper
Extract methodology and experiment lists from research papers to plan and run replication pipelines.
goodfire-aigetting-started
Guide new users through Causalab codebase setup and task workflows.
goodfire-airesearch-session
Create a session directory with plan, run, and result scaffolding for research workflows.
goodfire-airun-experiment
Execute causal abstraction experiment plans into validated task scaffolding and runner YAML pipelines.
goodfire-aiinterpret-experiment
Generate evidence-grounded experiment reports from causalab session artifacts.
goodfire-aisetup-methods
Scaffold session-local interpretability method stubs from set_up_method specifications.
Frequently Asked Questions About Goodfire
FAQPage SchemaWhat specific research tasks does Goodfire enable?▼
Goodfire enables the systematic replication of research papers, the creation of structured experiment plans with analysis DAGs, and the generation of evidence-grounded reports. It facilitates the scaffolding of interpretability method stubs and the execution of causal abstraction experiments through validated task packages.
Which technical personas benefit from these research capabilities?▼
These capabilities are designed for research engineers and machine learning scientists focused on interpretability and causal analysis. Professionals working on model transparency, rigorous experiment documentation, and the systematic translation of academic methodologies into reproducible codebases will find these features essential for their daily research operations.
What are the prerequisites for running Goodfire research sessions?▼
Users require a local environment managed by uv to establish development-mode contexts. Prerequisites include markdown-based specifications for tasks and methods, as well as access to the Causalab codebase. The system relies on Hydra configurations to manage experiment parameters and session-local scaffolding for execution.