acai AGENTS.md

acai AGENTS.md is an instructions file for Codex, OpenCode from travisennis/acai. It costs 1,769 tokens per session, scanned A, original, MIT.

Project instructions for Acai, a TypeScript and Node.js command-line coding assistant with interactive text interfaces, tools, skills, and saved sessions.

In plain words
What is it for?
Use them when changing Acai's code, command-line behavior, tests, documentation, builds, releases, or project workflows.
Why use it?
They give the coding agent rules for classifying work, loading the right project documents, and preserving existing commands, settings, and output formats.

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/travisennis/acai/agents-md
Clone the repo
git clone --depth 1 https://github.com/travisennis/acai

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for acai AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/travisennis/acai/agents-md.svg)](https://agentmods.dev/instructions/travisennis/acai/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/travisennis/acai/agents-md"><img src="https://agentmods.dev/badge/instructions/travisennis/acai/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,769 This file is loaded in full into every session.
When invoked 1,769 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 $0.01769 $0.01769
Opus 5 $0.00885 $0.00885
Sonnet 5 $0.00354 $0.00354
Haiku 4.5 $0.00177 $0.00177

Measured 3d ago against content hash f2958da832f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

acai 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 3d 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.

AGENTS.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

Project

Acai is a TypeScript/Node.js CLI assistant for coding workflows, available as both one-shot CLI and interactive REPL/TUI. It integrates model providers, agent-callable tools, skills, dynamic tools, and persisted sessions.

Compatibility surfaces: CLI flags and commands, REPL/TUI output, prompt and AGENTS.md loading, project configuration, environment variables, dynamic tool and skill contracts, provider and model IDs, tool schemas, session and log formats, filesystem and shell permission boundaries, terminal rendering, package entry points, the supported Node.js range, and documented output formats. Preserve them unless explicitly changed.

Operating Loop

  1. Do managed-work intake first. If the request is about a task, ExecPlan, ADR, or research note, use ahm (see Managed Work Intake With ahm) to understand that work item before choosing implementation docs. If the request is directly about code, CLI behavior, tests, docs, build, release, or repo mechanics, skip ahm intake and classify it directly.
  2. Classify the concrete request before editing.
  3. Load only the routed docs needed for that request.
  4. Preserve compatibility surfaces unless explicitly changed.
  5. Keep edits surgical and verify according to risk.
  6. After implementation edits, run a review in a subagent and address findings until none remain, then perform preflight. If a third round reports findings of the same class, stop patching: report the finding class and the suspected design flaw, and escalate to a design decision.
  7. State the selected route and loaded docs, then handoff with changes, checks, and remaining risk.

When this file conflicts with a specialized workflow doc for that workflow, the specialized doc wins. Keep AGENTS.md as routing, not as a command catalog or procedure manual.

Workflow Routing

CLI, REPL, TUI, And User Output

Use for command parsing, slash commands, stdin, interactive behavior, terminal rendering, markdown, autocomplete, and user-visible text.

Read the full file on GitHub · 158 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. 3d ago First seen · 158 lines · 1,769 tokens per session scan A f2958da832f3

Subscribe to this mod's changes

acai AGENTS.md is an instructions file published in the GitHub repository travisennis/acai (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,769 tokens to every session, about $0.0088 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.

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