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term_agent: Instructions file for Codex

AGENTS.md

vault_agent is an instructions file for Codex, OpenCode from noxgle/term_agent. It costs 607 tokens per session, scanned A, original, MIT.

A set of repository instructions for contributors to the Vault 3000 project. It documents the main command-line and web entry points, setup commands, supported run modes, and configuration details.

In plain words
What is it for?
It helps developers set up the project, run its local or remote command-line agent, start the API server, use pipeline modes, and avoid documented configuration mistakes.
Why use it?
Contributors otherwise have to discover how the project is structured and run by reading the code or guessing commands.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is noxgle/term_agent's own configuration. It tells Codex and OpenCode how to work on term_agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything term_agent configures →

not rated 7repo 1mo ago A scan 607 tokens original MIT
View source ↗ noxgle/term_agent
Reuse

Borrowing it

Nothing to install: this file belongs to noxgle/term_agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/noxgle/term_agent/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/noxgle/term_agent

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 vault_agent

README.md
[![agentmods](https://agentmods.dev/badge/instructions/noxgle/term_agent/agents-md/github.svg)](https://agentmods.dev/instructions/noxgle/term_agent/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/noxgle/term_agent/agents-md"><img src="https://agentmods.dev/badge/instructions/noxgle/term_agent/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.

agentmods 80×15 button for vault_agent

Your own site · 80×15
<a href="https://agentmods.dev/instructions/noxgle/term_agent/agents-md"><img src="https://agentmods.dev/badge/instructions/noxgle/term_agent/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 607 This file is loaded in full into every session.
When invoked 607 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00607 $0.00607
Opus 5.5 $0.00243 $0.00243
Sonnet 5.5 $0.00121 $0.00121
Haiku 4.5 $0.00061 $0.00061

Measured 2mo ago against content hash 466604fbb4b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vault_agent 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.

AGENTS.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

What matters most

  • term_ag.py is the real CLI entrypoint (local + SSH mode).
  • VaultAiAgentRunner.py is the core execution pipeline (compact/normal/hybrid behavior).
  • api/api_server.py + api/api_agent.py are the HTTP path; API runs non-interactively (auto_accept=True, prompt replies forced to "n").
  • term_api.py only starts uvicorn using API_HOST/API_PORT.

Verified run commands

  • Setup: python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt
  • Agent CLI: python term_ag.py
  • Remote mode: python term_ag.py user@host
  • Prompt-creator mode: python term_ag.py --prompt (also separate python PromptCreator.py exists)
  • Pipeline overrides: python term_ag.py --compact|--normal|--hybrid
  • Force plan from CLI: python term_ag.py --plan
  • API server: python term_api.py
  • Docker dev path: docker-compose up -d (SSH on host :2222, API on ${API_PORT:-8000})

Behavior and config quirks (easy to miss)

  • .env must exist in repo root; term_ag.py exits immediately if missing.
  • AI_ENGINE supports comma-separated engines; routing is controlled by AI_ENGINE_ROUTE (round-robin or fallback).
  • Default CLI runtime mode is effectively hybrid unless --compact/--normal overrides are passed.
  • Ctrl+A in CLI switches from collaborative to automatic mode one-way for current session.
  • LOG_FILE in .env is written under ./logs/ unless an absolute/explicit path is provided.
  • API defaults to pipeline_mode="hybrid" when neither pipeline_mode nor compact_mode is supplied.
  • API remote runs require ssh_password in payload (api/api_agent.py enforces this).

Test reality (current repo state)

  • No pytest/ruff/mypy config files are present in root.
  • requirements.txt does not include pytest or pytest-asyncio, even though tests import them.
  • Current tests/test_mcp_* reference an mcp package path not present in this repository; run tests selectively and expect MCP tests to fail until that module is restored.

Read the full file on GitHub · 42 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. 2mo ago First seen · 42 lines · 607 tokens per session scan A 466604fbb4b9

Subscribe to this mod's changes

vault_agent is an instructions file published in the GitHub repository noxgle/term_agent (7 stars, last pushed 1mo ago), licensed MIT. It adds 607 tokens to every session, about $0.0024 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 2026-08-31.

DevOps and cloudaiautomationclidevtoolslinux
Related

vault_agent compared with instructions from other repositories

vault_agent next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
vault_agentnoxgle/term_agentInstructions file71mo agoMITA607Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode