Borrowing it
Nothing to install: this file belongs to opendatahub-io/ai-helpers. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/opendatahub-io/ai-helpers/main/AGENTS.mdgit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/agents-md)<a href="https://agentmods.dev/instructions/opendatahub-io/ai-helpers/agents-md"><img src="https://agentmods.dev/badge/instructions/opendatahub-io/ai-helpers/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/opendatahub-io/ai-helpers/agents-md"><img src="https://agentmods.dev/badge/instructions/opendatahub-io/ai-helpers/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01551 | $0.01551 |
| Opus 5 | $0.00776 | $0.00776 |
| Sonnet 5 | $0.00310 | $0.00310 |
| Haiku 4.5 | $0.00155 | $0.00155 |
Grade A, and why
ai-helpers AGENTS.md scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Do not suppress errors from `gh`, `curl`, or `git` — propagate failures explicitly. How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Helpers Marketplace
This repository serves as a collaborative marketplace for AI automation tools, plugins, and assistants designed to enhance productivity across multiple AI platforms. It provides a centralized location for sharing and discovering AI-powered development tools.
Repository Purpose
The odh-ai-helpers repository hosts collections of three distinct tool types:
- Skills: Standardized capabilities using agentskills.io format, compatible with Claude Code and Cursor
- Agents: Specialized AI entities for complex, multi-step workflows and analysis
- Gemini Gems: Conversational AI assistants optimized for specific domains
This enables teams to automate repetitive tasks, integrate with development tools, and create specialized AI capabilities tailored to specific workflows and needs.
Tool Types
Skills
Standardized capabilities that work across multiple AI platforms using the agentskills.io specification. Skills provide reusable functionality with cross-platform compatibility.
→ Located in each plugin's skills/ subdirectory under plugins/
Agents
Specialized AI entities capable of complex reasoning and multi-step workflows. Agents maintain context and can execute sophisticated analysis within their domain of expertise.
→ Located in a plugin's agents/ subdirectory under plugins/
Gemini Gems
Conversational AI assistants created within Google's Gemini platform. Each Gem is tailored with specific instructions and knowledge bases for particular domains or tasks.
→ For detailed Gemini Gems instructions, see Gemini Gems README
Platform Support
Claude Code
- Skills: Available through marketplace plugin entries
- Agents: Available as sub-agents through marketplace plugin entries
OpenCode.ai
- Skills: Compatible as OpenCode skills in ~/.config/opencode/skills/
- Agents: Not currently compatible due to format differences
Cursor AI
- Skills: Compatible through agentskills.io format
- Agents: Can be used as specialized workflow guides
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.
- 6d ago Changed · +39 tokens per session b039ecb1a41c
- 9d ago First seen · 142 lines · 1,512 tokens per session scan A 564fec37a560
ai-helpers AGENTS.md is an instructions file published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,551 tokens to every session, about $0.0078 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
understudy guardrails.instructions.md
Instructions for erniker/understudy, covering 🎯 this file applies to all team agents, in vs code it auto-applies to all files (applyto: ""), in copilot cli it is activated with /instructions, │ what are guardrails? │ and │ │.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.