voleeo-api AGENTS.md

A repository guide for AI coding agents working on Voleeo, a local toolkit that connects developers and agents through a shared system view.

In plain words
What is it for?
It guides feature work, code quality, tool use, and model selection for delegated sub-work in the Voleeo repository.
Why use it?
It keeps agent work focused, consistent, and within clear limits, including rules for delegated tasks and document size.

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

Made for: Codex, OpenCode.

Per session 6,134 This file is loaded in full into every session.
When invoked 6,134 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 $0.06134 $0.06134
Opus 5 $0.03067 $0.03067
Sonnet 5 $0.01227 $0.01227
Haiku 4.5 $0.00613 $0.00613

Measured 3d ago against content hash 1c4345c4472b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

voleeo-api 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 · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents working in this repository.

File-size rule: this document must stay under 300 lines. When you add a new rule or section, tighten or remove existing content first — never just append. A bloated guide is read less, not more. Keep prose terse, examples one-line, and prefer references to inline duplication.

Product vision

Voleeo is an AI-native local toolkit with MCP bridge. Every feature serves one goal: an AI agent (via MCP) and a developer share the same view of the system. UI, data models, and IPC are designed for both human and machine consumers.

Model routing (delegated sub-work only)

Applies to subagents/workflows spawned via the Agent/Workflow tools — pick model per task. The main session model is user-controlled (/model) and never auto-switches; this table only routes delegated work. When unsure, step up a tier.

  • Haiku — mechanical, fully-specified: keyword/file searches, fan-out reads (Explore), renames, formatting, log/grep scans, applying a known edit across files. Also commit messages and PR descriptions (use the cheapest tier).
  • Sonnet — default for real work: feature implementation, code review, writing tests, focused single-file/single-bug debugging, doc edits.
  • Opus — hard reasoning: architecture/design, cross-crate refactors, render-loop/concurrency/IPC-shape bugs (see numbered rules), security review, ambiguous multi-step tasks, adversarial verification of findings.

Tool discipline

  • Locate before reading. Use grep/find to confirm a file holds what you need before Read; never read whole directories.
  • Budget the work. Aim to finish a task in under 20 tool calls. After ~10 calls with no visible progress, stop and explain the blocker rather than pushing on.

Code quality

KISS · DRY · YAGNI. When planning and writing code, default to the simplest thing that works: stdlib or an already-installed dep before new code, one line before fifty, a native/CSS/DB feature before app code. Build nothing for a need that isn't here yet. Factor real duplication — never abstract speculatively (no interface with one impl, no config for a constant). Shortest working diff wins; if you can't name why a piece of code must exist, cut it.

Read the full file on GitHub · 253 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 · 253 lines · 6,134 tokens per session scan A 1c4345c4472b

Subscribe to this mod's changes

voleeo-api AGENTS.md is an instructions file published in the GitHub repository voleeo/voleeo-api (117 stars, last pushed 11d ago), licensed MIT. It adds 6,134 tokens to every session, about $0.0307 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.