bf-jev-deep-research
Portuguese agent skill teaching Claude Code, Cursor and Codex to use Jev correctly, bundled with the full raw research behind each claim.
This repository is mostly documentation or write-up rather than runnable code.
Overview
bf-jev-deep-research installs, with one command, an agent skill for Claude Code, Cursor and Codex that teaches an agent how to use Jev correctly, along with the complete raw study supporting every claim in the skill: eight analysed video transcripts, 50 pages of official documentation as raw markdown, three pages from the company site and seven synthesis documents in Portuguese.
It summarizes key facts from the sources, such as RLCD training, 70 to 500 ms decisions, pricing, the three primitives, four documented composition patterns and nine known pitfalls with real cases, and verifies more than 500 internal links automatically on every change. Installation can be per project or global.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Other | How should an agent phrase and use Choice, Score and Noul questions correctly?(inferred) | — |
How it works
- Run the setup script (project or global)
- Skill activates in the agent
- Agent consults the skill and raw study when using Jev
Strengths
- Every claim traceable to raw sources
- Link checking on each change
- Works across several agents
Caveats
- Content in Portuguese
- Mostly documentation
Getting started
curl -fsSL https://raw.githubusercontent.com/BFLabsAI/bf-jev-deep-research/main/scripts/setup-bf-jev-deep-research.sh | bashAt a glance
- Type
- Agent skill
- Status
- production
- Runtime
- agent skill
- Has code
- yes
- License
- MIT
Use cases and integrations
How curated lists describe it
Agent Skill + estudo verbatim sobre a Jev (TypeSafe AI System One Model)…
wh000wh000/awesome-jev-live
Frequently asked questions
What does the skill teach?
How to use Jev's primitives and patterns correctly and avoid known pitfalls.
What is bundled?
Raw docs, transcripts and synthesis documents backing each claim.
Which agents?
Claude Code, Cursor and Codex.
Related projects
Skill that makes Claude Code and Codex split AI features into Jev, LLM or plain-code steps before writing code.
ProjectbetaReadable reference skill for Claude Code and Codex where Jev picks from a numbered table of page controls, with an explainer site.
Agent skillprototypeJavaScript- Building with Jev★ 155
Agent skill for writing and improving programs that call Jev: question design, state structure, thresholds and diagnosing wrong answers.
Agent skillproduction Portable Agent Skill teaching coding agents to use Jev as a bounded judgment layer, plus an optional MCP bridge.
MCP serverbetaTypeScriptAgent skill that makes a coding agent try Jev first for bounded judgments like classify, rank or gate, and log each attempt.
Agent skillbetaPythonIDE and browser extensions to find and install agent Skills and Subagents, with an opt-in Jev check when local detection can't decide.
Browser extensionproductionTypeScript