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.
npx agentmods add instructions/entityprocess/agentv/agents-mdgit clone --depth 1 https://github.com/EntityProcess/agentvWhat 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 | $0.03184 | $0.03184 |
| Opus 5 | $0.01592 | $0.01592 |
| Sonnet 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 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.
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.
- yesterday 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 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.
Other instructions, from other repositories
neuron-ai AGENTS.md
Instructions for neuron-core/neuron-ai, covering neuron ai - project overview, the mental model: neuron is a composable workflow, development commands, architecture and modules.
neuron-ai CLAUDE.md
Instructions for neuron-core/neuron-ai, covering project overview, code standards, think before coding, simplicity first and surgical changes.
docs-mcp-server AGENTS.md
Instructions for arabold/docs-mcp-server, covering agent instructions for docs-mcp-server, repository context, development workflow, key commands and git workflow.
crush AGENTS.md
AGENTS.md instructions for charmbracelet/crush, covering crush development guide, project overview, architecture, key dependency roles and key patterns.
code-cli AGENTS.md
Instructions for autohandai/code-cli, covering agents.md, project overview, current repository architecture, src/core/agent runtime split (current) and general layout guidance for contributions.
dive CLAUDE.md
Instructions for deepnoodle-ai/dive, covering claude.md, project overview, commands, architecture and core types.