Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/rbraga01/builder-ai/agents-mdgit clone --depth 1 https://github.com/RBraga01/builder-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/rbraga01/builder-ai/agents-md)<a href="https://agentmods.dev/instructions/rbraga01/builder-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/rbraga01/builder-ai/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00483 | $0.00483 |
| Opus 5 | $0.00242 | $0.00242 |
| Sonnet 5 | $0.00097 | $0.00097 |
| Haiku 4.5 | $0.00048 | $0.00048 |
Grade A, and why
builder-ai AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
builder-ai — Agent & Skill Roster v1.0.0
Hard Gate Skills
| Skill | Description | Triggers |
|---|---|---|
eval-before-ship |
Blocks LLM features without documented eval results | Before any PR that adds or modifies a prompt or model |
prompt-versioning |
Enforces prompt version control in prompts/ |
Whenever writing or modifying a prompt |
fallback-required |
Blocks LLM calls without defined fallback paths | Before any PR that adds an LLM API call |
Workflow Skills
| Skill | Description | Triggers |
|---|---|---|
rag-pipeline-design |
RAG pipeline design: chunking, embedding, retrieval, reranking, generation | Designing or auditing a RAG feature |
model-benchmarking |
Structured model comparison with cost-quality analysis | Selecting a model for any feature |
context-optimization |
Context reduction: prompt trimming, chunk reduction, caching | Latency or cost issues, or approaching context limits |
ai-cost-audit |
LLM spend audit and projection | Pre-launch cost estimate or unexpected cost growth |
ai-safety-review |
Safety review: injection, hallucination, abuse, agentic scope | Before any user-facing LLM feature ships |
Agents
| Agent | Tier | Model | Trigger |
|---|---|---|---|
prompt-engineer |
Tier 2 | claude-sonnet-4-6 | Writing, iterating, or debugging prompts |
eval-designer |
Tier 2 | claude-sonnet-4-6 | Designing eval suites, writing harness code |
rag-architect |
Tier 1 | claude-opus-4-8 | Designing or debugging retrieval pipelines |
model-selector |
Tier 2 | claude-sonnet-4-6 | Model comparison and selection |
ai-safety-reviewer |
Tier 1 | claude-opus-4-8 | Safety review before user-facing features ship |
Integration with A Team
If A Team is installed, builder-ai agents and skills slot in alongside the existing roster. No conflicts — all names are unique. builder-ai agents can be dispatched by the A Team orchestrator like any other specialist.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 34 lines · 483 tokens per session scan A f2eb9044ad14
builder-ai AGENTS.md is an instructions file published in the GitHub repository RBraga01/builder-ai (2 stars, last pushed 1mo ago), licensed MIT. It adds 483 tokens to every session, about $0.0024 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
avoid-ai-writing CLAUDE.md
Instructions for conorbronsdon/avoid-ai-writing, covering claude.md, what this is, repository structure, how to make changes and architecture of the skill.
Doberman-Core AGENTS.md
AGENTS.md instructions for DobermanCore/Doberman-Core, covering claude.md — doberman operating manual, 0. on startup (every session), 1. what this repository is, 2. architecture & extension points and 3. prime directives (non-negotiable).
Eval CLAUDE.md
Instructions for ai-twinkle/Eval, covering twinkle eval — 專案規範手冊（claude.md）, 目錄, 1. 專案定位與設計理念, 1.1 誕生背景 and 1.2 核心設計哲學.
TLDR CLAUDE.md
Instructions for 0p9b/TLDR, covering claude.md — tldr maintainer guide, product, source layout, edit rules and install paths.
TLDR AGENTS.md
Instructions for 0p9b/TLDR: @./skills/tldr/SKILL.md @./skills/tldr-commit/SKILL.md @./skills/tldr-review/SKILL.md @./skills/tldr-compress/SKILL.md.
Library-First-Engineering copilot-instructions.md
Instructions for StChiotis/Library-First-Engineering: You are an AI agent operating in a Library-First Engineering (LFE) repository. This adapter is a pointer. Canonical rules live in human-readable docs.