agentv AGENTS.md

Repository instructions for EntityProcess/agentv, including required reading, project direction, and rules for choosing more detailed guidance.

In plain words
What is it for?
Use them when working on the agentv codebase, especially before making product or architecture decisions.
Why use it?
They give coding agents the context and routing rules needed to make changes that fit the repository.

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/entityprocess/agentv/agents-md
Clone the repo
git clone --depth 1 https://github.com/EntityProcess/agentv

Made for: Codex, OpenCode.

Per session 3,184 This file is loaded in full into every session.
When invoked 3,184 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 $0.03184 $0.03184
Opus 5 $0.01592 $0.01592
Sonnet 5 $0.00637 $0.00637
Haiku 4.5 $0.00318 $0.00318

Measured yesterday against content hash db95fd8abe40, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentv 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 · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentV Agent Guide

This file is the root index for repo-facing agent instructions. It carries baseline rules that always apply plus a Routing table that maps your change to the deeper .agents/*.md guide you must read before starting that work. The rules in this file are a summary; each linked guide is authoritative for its area, so a matching Routing trigger means "read the guide," not "the summary is enough." Read STRATEGY.md plus ROADMAP.md before making product-boundary calls.

Product Direction

AgentV aims to be the repo-native, workspace-native evaluation framework for AI agents.

  • Repo-native evals: run against real repos, multi-repo workspaces, setup scripts, and existing harnesses.
  • Zero-infra local to CI: keep the default path lightweight so the same eval contract works on a laptop and in CI.
  • Portable run artifacts: treat run bundles, traces, and summaries as the source of truth for comparison, gating, and export.
  • Adapter boundaries: integrate with Phoenix, Harbor, Opik, and provider-specific systems through narrow adapters instead of absorbing their concepts into core.
  • AI-native extensibility: keep the core small and composable so engineers and coding agents can extend it with plugins, wrappers, and harness-specific glue.

Eval authoring mental model:

  • AgentV adopts Promptfoo-compatible matrix authoring where it helps: an eval expands prompts x tests/vars x providers, then applies repeat samples/retries as run policy. Compatibility is at the provider declaration layer, not a claim that every AgentV config runs in Promptfoo unchanged.
  • Author systems under test as providers. A provider entry id names the backend/spec; label is the stable AgentV selection and result identity.
  • Treat AgentV as a Promptfoo-compatible superset for provider declarations. Promptfoo-shaped provider entries can be strings like openai:gpt-4.1-mini, complete package provider strings like package:@agentv/promptfoo-providers:CodexCliProvider or package:@agentv/promptfoo-providers/codex-cli:Provider, option objects with id, label, config, env, prompts, transform, delay, and inputs, or provider maps like { "openai:gpt-4": { label, config } }. Package provider strings must include the exported class/function segment after the final colon. AgentV-only fields such as top-level environment and provider-local runtime/testbed overlays remain AgentV semantics; Promptfoo may ignore or strip unknown keys and will not execute AgentV environment setup without a transpiler or wrapper.
  • Use environment recipes for coding-agent testbeds, including host/Docker setup, repo materialization, fixtures, services, and cwd. Do not use Promptfoo extensions or public workspace authoring as the canonical testbed contract.
  • Use top-level env for provider/eval environment variables. Use extensions for lifecycle hooks. Use field-local file:// refs for reusable prompts, tests, defaults, and environments.
  • Use tags and run-bundle metadata for grouping and Dashboard navigation. Do not use experiment path buckets, Vercel path layout, or model-as-experiment grouping as canonical AgentV semantics.
  • AgentV run bundles, traces, transcripts, datasets, indexes, and Git-backed artifacts stay AgentV-owned. Do not design an Opik export path or Phoenix projection path for them; Phoenix correlation is link-out only when external_trace metadata already exists.

Read the full file on GitHub · 134 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 · 134 lines · 3,184 tokens per session scan A db95fd8abe40

Subscribe to this mod's changes

agentv AGENTS.md is an instructions file published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 1mo ago), licensed MIT. It adds 3,184 tokens to every session, about $0.0159 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.