Borrowing it
Nothing to install: this file belongs to EntityProcess/agentv. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EntityProcess/agentv/main/AGENTS.mdgit clone --depth 1 https://github.com/EntityProcess/agentvWrote 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.
[](https://agentmods.dev/instructions/entityprocess/agentv/agents-md)<a href="https://agentmods.dev/instructions/entityprocess/agentv/agents-md"><img src="https://agentmods.dev/badge/instructions/entityprocess/agentv/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/entityprocess/agentv/agents-md"><img src="https://agentmods.dev/badge/instructions/entityprocess/agentv/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03184 | $0.03184 |
| Opus 5.5 | $0.01274 | $0.01274 |
| Sonnet 5.5 | $0.00637 | $0.00637 |
| Haiku 4.5 | $0.00318 | $0.00318 |
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 2mo 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.
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 entryidnames the backend/spec;labelis 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 likepackage:@agentv/promptfoo-providers:CodexCliProviderorpackage:@agentv/promptfoo-providers/codex-cli:Provider, option objects withid,label,config,env,prompts,transform,delay, andinputs, 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-levelenvironmentand 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
environmentrecipes for coding-agent testbeds, including host/Docker setup, repo materialization, fixtures, services, and cwd. Do not use Promptfooextensionsor publicworkspaceauthoring as the canonical testbed contract. - Use top-level
envfor provider/eval environment variables. Useextensionsfor lifecycle hooks. Use field-localfile://refs for reusable prompts, tests, defaults, and environments. - Use
tagsand 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_tracemetadata already exists.
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.
- 2mo ago First seen · 134 lines · 3,184 tokens per session scan A db95fd8abe40
agentv AGENTS.md is an instructions file published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 27d ago), licensed MIT. It adds 3,184 tokens to every session, about $0.0127 per session on Opus 5.5. 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.
agentv AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agentv AGENTS.mdEntityProcess/agentv | Instructions file | 15 | 27d ago | MIT | A | 3,184 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |