NeuroAIHub/BrainPilot

BrainPilot: Automating Brain Discovery with Agentic Research

About the project

BrainPilot is an open-source, human-supervised agent system for brain science that uses specialized agents, knowledge, skills, and tools to support research work. Researchers use it to review literature, plan studies, perform analyses, write reports, and check scientific claims. Its catalogue entries are skills and an MCP integration that extend or operate the BrainPilot research workflow.

1.1kStars on the repository
95Mods indexed here, across every type
4d agoLast push, which is what freshness is scored on
AGPL-3.0Licence, which decides whether bodies are shown

brainstorming

01

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

not rated 1.1k +1 4d ago A SkillSpector: warn 37 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies.

not rated 1.1k +1 4d ago A SkillSpector: pass 26 tokens AGPL-3.0

executing-plans

03

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when you have a written implementation plan to execute in a separate session with review checkpoints.

not rated 1.1k +1 4d ago A SkillSpector: warn 22 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work.

not rated 1.1k +1 4d ago A SkillSpector: pass 27 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation.

not rated 1.1k +1 4d ago A SkillSpector: pass 38 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when completing tasks, implementing major features, or before merging to verify work meets requirements.

not rated 1.1k +1 4d ago A SkillSpector: pass 22 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

not rated 1.1k +1 4d ago A SkillSpector: warn 21 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when implementing any feature or bugfix, before writing implementation code.

not rated 1.1k +1 4d ago A SkillSpector: pass 17 tokens AGPL-3.0

using-git-worktrees

10

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback.

not rated 1.1k +1 4d ago A SkillSpector: warn 36 tokens AGPL-3.0

using-superpowers

11

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions.

not rated 1.1k +1 4d ago A SkillSpector: pass 28 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always.

not rated 1.1k +1 4d ago A SkillSpector: warn 43 tokens AGPL-3.0

writing-plans

13

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when you have a spec or requirements for a multi-step task, before touching code.

not rated 1.1k +1 4d ago A SkillSpector: pass 21 tokens AGPL-3.0

writing-skills

14

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when creating new skills, editing existing skills, or verifying skills work before deployment.

not rated 1.1k +1 4d ago A SkillSpector: warn 20 tokens AGPL-3.0

audit-code-artifact

15

NeuroAIHub/BrainPilot

Skill Codex

Audit scientific implementation, exported-model equivalence, dependency completeness, manifests, packaging, and isolated inference. Use when claims depend on code, trained artifacts, evaluators, or deployable entry points.

not rated 1.1k +1 4d ago A SkillSpector: pass 44 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Codex

Audit scientific data semantics, sample and label alignment, leakage, group splits, preprocessing boundaries, and train-to-inference transforms. Use for any result based on datasets, feature matrices, tensors, repeated observations, or learned preprocessing.

not rated 1.1k +1 4d ago A SkillSpector: pass 50 tokens AGPL-3.0

audit-evidence

17

NeuroAIHub/BrainPilot

Skill Codex

Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. Use for reports, syntheses, benchmark claims, external citations, or conflicting Expert outputs.

not rated 1.1k +1 4d ago A SkillSpector: pass 40 tokens AGPL-3.0

audit-feedback-loop

18

NeuroAIHub/BrainPilot

Skill Codex

Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor. Use when PI needs to audit its own draft, an Expert result, or a multi-agent synthesis; when Auditor receives such a review task; or when a previous audit requires correction and incremental re-review.

not rated 1.1k +1 4d ago A SkillSpector: warn 59 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Codex

Audit whether method discovery, comparison, representative real-data validation, collapse diagnostics, pruning, and selection evidence support claims of suitability or superiority. Use for research-method selection, empirical evaluation, benchmarking, modelling, prediction, or other conclusions that depend on choosing…

not rated 1.1k +1 4d ago A SkillSpector: pass 56 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Codex

Curate BrainPilot Trace Events into human-readable research Episodes, appropriately granular nodes, and direct dependson relationships. Use when a report contains multiple settings, results, analyses, visualizations, findings, or conclusions; when Episode placement is unclear; or when deciding whether new evidence…

not rated 1.1k +1 4d ago A SkillSpector: pass 73 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Codex

Create or update the canonical Markdown inventory of task-relevant research data. Engineer must invoke this skill before creating or updating any data inventory, data contract, or dataset-coverage summary that downstream agents will use.

not rated 1.1k +1 4d ago A SkillSpector: pass 46 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Research a bounded factual, documentation, API, or literature question from authoritative sources and save a self-contained Markdown report with claim-level citations. Use for reading-heavy evidence gathering, not experiment execution or data analysis.

not rated 1.1k +1 4d ago A SkillSpector: pass 48 tokens AGPL-3.0

contribute-skill

23

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

One-command skill contribution — generate a SKILL.md from your domain expertise and submit to GitHub Issues for maintainer review.

not rated 1.1k +1 4d ago A SkillSpector: warn 29 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Step-by-step guidance for contributing a new skill to the NeuroAIHub/awesomecognitiveandneuroscienceskills repository via GitHub Pull Request, including SKILL.md format requirements, quality rules, and PR checklist.

not rated 1.1k +1 4d ago A SkillSpector: pass 52 tokens AGPL-3.0

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