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/epam/ai-dial-chat/agents-mdgit clone --depth 1 https://github.com/epam/ai-dial-chatWrote 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/epam/ai-dial-chat/agents-md)<a href="https://agentmods.dev/instructions/epam/ai-dial-chat/agents-md"><img src="https://agentmods.dev/badge/instructions/epam/ai-dial-chat/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 | $0.04275 | $0.04275 |
| Opus 5 | $0.02138 | $0.02138 |
| Sonnet 5 | $0.00855 | $0.00855 |
| Haiku 4.5 | $0.00428 | $0.00428 |
Grade A, and why
ai-dial-chat 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General Guidelines for working with Nx
- For navigating/exploring the workspace, invoke the
nx-workspaceskill first - it has patterns for querying projects, targets, and dependencies - When running tasks (for example build, lint, test, e2e, etc.), always prefer running the task through
nx(i.e.nx run,nx run-many,nx affected) instead of using the underlying tooling directly - Prefix nx commands with the workspace's package manager (e.g.,
npm exec nx build,npm exec nx test) - avoids using globally installed CLI - You have access to the Nx MCP server and its tools, use them to help the user
- For Nx plugin best practices, check
node_modules/@nx/<plugin>/PLUGIN.md. Not all plugins have this file - proceed without it if unavailable. - NEVER guess CLI flags - always check nx_docs or
--helpfirst when unsure
Scaffolding & Generators
- For scaffolding tasks (creating apps, libs, project structure, setup), ALWAYS invoke the
nx-generateskill FIRST before exploring or calling MCP tools
When to use nx_docs
- USE for: advanced config options, unfamiliar flags, migration guides, plugin configuration, edge cases
- DON'T USE for: basic generator syntax (
nx g @nx/react:app), standard commands, things you already know - The
nx-generateskill handles generator discovery internally - don't call nx_docs just to look up generator syntax
Architecture context
Full tech stack, path aliases, commands, and architecture layout live in openspec/config.yaml — read it before designing or implementing features. The opsx:* skills use it as their primary context.
Spec work follows the OpenSpec lifecycle: explore → propose → apply → archive (opsx:explore to think through an idea, opsx:propose to create a change with design/specs/tasks, opsx:apply to implement the tasks, opsx:archive to finalize once done).
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.
- yesterday Changed · +54 tokens per session e5553cdf4ae3
- 5d ago First seen · 176 lines · 4,221 tokens per session scan A 8f571846a4c3
ai-dial-chat AGENTS.md is an instructions file published in the GitHub repository epam/ai-dial-chat (504 stars, last pushed yesterday), licensed Apache-2.0. It adds 4,275 tokens to every session, about $0.0214 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 2026-08-30.
Other instructions, from other repositories
ai-dial-core CLAUDE.md
Claude Code instructions for epam/ai-dial-core, covering claude.md, build & run, set credentials via environment variables, build (skip tests) and run all tests.
ai AGENTS.md
AGENTS.md instructions for vercel/ai, covering agents.md, project overview, repository structure, key directories and core package dependencies.
InvestSkill GEMINI.md
Gemini CLI instructions for yennanliu/InvestSkill, covering investskill — gemini cli setup & usage guide, installation & setup, quick start, navigate to the investskill directory and start gemini cli (loads gemini.md automatically).
technocore-chat AGENTS.md
AGENTS.md instructions for flop-labs/technocore-chat: CI runs exactly these — run them before pushing.
openrouter-mcp-multimodal AGENTS.md
AGENTS.md instructions for stabgan/openrouter-mcp-multimodal, covering agent instructions, before you ship, releasing (read this before publishing), short version and version files (must all match package.json).
intervals-icu-mcp CLAUDE.md
Instructions for hhopke/intervals-icu-mcp, covering claude.md, project overview, development commands, architecture (quick reference) and tool categories.