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/quantiles-evals/quantiles/agents-mdgit clone --depth 1 https://github.com/quantiles-evals/quantilesWhat 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 | $0.02640 | $0.02640 |
| Opus 5 | $0.01320 | $0.01320 |
| Sonnet 5 | $0.00528 | $0.00528 |
| Haiku 4.5 | $0.00264 | $0.00264 |
Grade A, and why
quantiles 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quantiles Agent Guide
This file is for coding assistants such as Codex, Claude Code, Cursor, GitHub Copilot, Gemini CLI, OpenCode, and similar tools. It gives agents a short, public-safe map of the Quantiles repository and the rules for making focused, reviewable changes.
See the Quantiles agent skill's SKILL.md for guidance on running evaluations, inspecting sample-level results, comparing runs, and interpreting outputs. For a concise, public, LLM-readable overview with links to agent guides and related documentation, see quantiles.io/llms.txt.
Before attempting tasks in this repository, read these files:
README.md: public product overview, quickstart, CLI examples, SDK summary, docs links, and agent guidance.- Configuration documentation: how to write configuration files for the
qtCLI. CONTRIBUTING.md: contributor expectations, development workflow, and review norms.SECURITY.md: supported components and vulnerability reporting process.CODE_OF_CONDUCT.md: community participation rules.LICENSE: Apache 2.0 license text.mise.toml: task definitions for building, formatting, type-checking, linting, and more, all using the mise task runner.
Scope
These instructions apply to the Quantiles open-source repository. Quantiles is a local-first CLI and SDK toolchain for running AI evaluation workflows with fast, continuous feedback. It retrieves built-in benchmark configurations, executes benchmarks and evaluations locally, records steps, metrics, events, inputs, and outputs, and compares runs locally so teams can inspect results, identify regressions, and iterate with confidence.
Root-level files in this repository provide project-wide orientation, contribution guidance, security policy, licensing, and agent instructions. Implementation-specific work belongs in the relevant subdirectory. If a subdirectory has its own AGENTS.md file, follow the nearest one first. Subdirectory instructions should override this root guide for implementation details, package managers, commands, tests, and code style. User instructions may customize the workflow for their project, environment, or preferences, but they must not override safety requirements, system instructions, repository safeguards, or security boundaries.
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 First seen · 191 lines · 2,640 tokens per session scan A e409937b97a9
quantiles AGENTS.md is an instructions file published in the GitHub repository quantiles-evals/quantiles (2 stars, last pushed 20d ago), licensed Apache-2.0. It adds 2,640 tokens to every session, about $0.0132 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
dograh AGENTS.md
Instructions for dograh-hq/dograh, covering dograh - project overview, project structure, tech stack, local development and environment configuration.
Patter AGENTS.md
Instructions for PatterAI/Patter, covering agents.md, non-negotiables (ci and reviewers block on these), before opening a pr, where things live and commits & prs.
windmill AGENTS.md
AGENTS.md instructions for windmill-labs/windmill, covering windmill, workflow, documentation, dev environment and per-worktree ports and database.
basic-memory AGENTS.md
AGENTS.md instructions for basicmachines-co/basic-memory, covering agents.md - basic memory project guide, project overview, codebase development, project information and build and test commands.
windmill CLAUDE.md
Claude Code instructions for windmill-labs/windmill, a project described as: Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
mainbranch AGENTS.md
Instructions for noontide-co/mainbranch, covering agent instructions, product shape, daily operating loop, quick start and repository layout.