hotato AGENTS.md

A set of instructions for Hotato, a local-first platform for testing and checking AI agents that handle voice, chat, or language-model conversations.

In plain words
What is it for?
Use it to run demos, investigate audio recordings, label regression cases, create pull requests with test fixtures, and verify interaction contracts.
Why use it?
It provides a repeatable path from investigating a conversation to storing a failure as evidence and enforcing it in a pull-request check.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/attenlabs/hotato/agents-md
Clone the repo
git clone --depth 1 https://github.com/attenlabs/hotato

Made for: Codex, OpenCode.

Per session 2,697 This file is loaded in full into every session.
When invoked 2,697 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.02697 $0.02697
Opus 5 $0.01349 $0.01349
Sonnet 5 $0.00539 $0.00539
Haiku 4.5 $0.00270 $0.00270

Measured yesterday against content hash b1a2edd8a1a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hotato 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.

AGENTS.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

You are an agent evaluating or wiring up hotato, the local-first AI engineering platform, to trace, evaluate, test, and gate an AI agent (voice, chat, or LLM). This file is written to be executed top to bottom. Every command below is offline, reversible, and needs no account or key. Prefer the CLI's own contract (hotato describe --format json) over this prose when they disagree.

The core loop (run this first)

One path, first touch to a CI gate. Each step prints the exact next command, so you can chain the whole loop from stdout alone:

1  hotato start --demo                    see it catch a failure on two bundled calls
2  hotato investigate ./call.wav          score your own two-channel recording
3  hotato investigate label <ref>         commit the caught moment as a regression
4  hotato pr create --fixtures <bundle>   open the pull request that adds the CI gate
5  hotato contract verify contracts/      the gate re-runs the stored evidence
  • Step 1 sweeps the two bundled demo calls, builds one failure contract, and runs one say-do conversation check. It exits 0 because setup finished; the gate command it points at exits 1.
  • Step 2 opens a local dual-channel WAV (or pulls one live with --stack vapi --call-id ID), authenticates its capture origin, runs the input-health gate, and ranks the timing moments. It marks the top-ranked one most likely failure and prints one investigate label command for it. No intent is inferred; a suspected channel swap refuses the verdict path.
  • Step 3 writes a content-addressed contract bundle to contracts/<id>.hotato/ from the candidate ref (.hotato/investigate-state.json#N) and the --expect yield|hold label you supply. The label is the human decision; hotato measures whether the timing matched it.
  • Step 4 stages that bundle byte-identical under tests/hotato/contracts/ and opens the PR (dry run by default; --yes runs git and gh).
  • Step 5 re-measures the stored evidence deterministically. This is the CI gate: exit 0 pass, exit 1 fail.

Read the full file on GitHub · 231 lines

Changes

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.

  1. yesterday First seen · 231 lines · 2,697 tokens per session scan A b1a2edd8a1a1

Subscribe to this mod's changes

hotato AGENTS.md is an instructions file published in the GitHub repository attenlabs/hotato (1 stars, last pushed 4d ago), licensed MIT. It adds 2,697 tokens to every session, about $0.0135 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.