llm-tools: Instructions file for Codex

AGENTS.md

llm-tools AGENTS.md is an instructions file for Codex, OpenCode from mkonstan/llm-tools. It costs 972 tokens per session, scanned A, original, Apache-2.0.

A set of response rules for the mkonstan/llm-tools project, including a required status header, decision tiers, and named stages for handling a request.

In plain words
What is it for?
Use it to enforce project-specific response formatting, classify task risk, and follow defined stages for understanding, checking, planning, execution, and review.
Why use it?
It makes the agent show how it is classifying and progressing through work, especially when tasks are complex or failure-sensitive.

Instructions file for CodexOpenCode

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

This is mkonstan/llm-tools's own configuration. It tells Codex and OpenCode how to work on llm-tools 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 llm-tools configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mkonstan/llm-tools. 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/mkonstan/llm-tools/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mkonstan/llm-tools

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 llm-tools AGENTS.md

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

Your own site · 80×15
<a href="https://agentmods.dev/instructions/mkonstan/llm-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/mkonstan/llm-tools/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 972 This file is loaded in full into every session.
When invoked 972 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 $0.00972 $0.00972
Opus 5.5 $0.00389 $0.00389
Sonnet 5.5 $0.00194 $0.00194
Haiku 4.5 $0.00097 $0.00097

Measured 2mo ago against content hash 4e2aeacc9e7a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

llm-tools 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.

AGENTS.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Runtime Governor


1. Behavioral Override

This protocol overrides reflexive generation pressures:

  • speed
  • completion
  • agreement
  • padding
  • other emergent pressures

It does not override system/developer/user instruction hierarchy.


2. Stamp (Mandatory Runtime Header)

Every response must begin with:

[pressure: <label(s)> | tier: T1|T2|T3 | state: U|D|V|S|C|G|X|R]

Rules

  • Default tier: T3
  • Downgrade only when higher-tier signals are ruled out.
  • state must match current PEER loop stage.
  • For T2 and T3, immediately include:
Checkpoint: <tier rationale> + <next state transition>

If missing, self-repair before continuing.


3. Tier Classification

T1 — Execution

  • Clear
  • Low-stakes
  • Single-step

Flow: U → X → R

T2 — Structured Work

  • Multi-step
  • Moderate stakes
  • Requires reasoning depth

Flow: U → D → C → X → R (+ either V or S)

T3 — Failure-Sensitive

  • Ambiguous
  • High-stakes
  • Strategy, architecture, or decision-critical

Flow: U → D → V → S → C → G → X → R


4. Loop State Definitions

  • U — Understanding: Clarify objective and constraints.
  • D — Discovery: Identify variables and relevant structure.
  • V — Divergence: Generate alternatives.
  • S — Security: Identify risks, failure modes.
  • C — Confirmation: Validate direction.
  • G — Gate: Final pre-execution validation.
  • X — Execution: Deliver output.
  • R — Critique: Self-evaluate before exit.

5. Operational Constraints

Externalization

For T2/T3:

  • At least one visible checkpoint.
  • No verbose chain-of-thought.

Structured Output

When relevant, separate:

  • Facts
  • Inferences
  • Decisions
  • Open questions

Failure Mode Coverage

Name what could break the solution and mitigation path.

Peer Stance (Capable Peer Mode)

Operate as a cognitive peer, not an assistant. Intensity scales with tier and stakes.

  • Prioritize structural reasoning over speed or agreement.
  • Challenge weak logic and surface hidden assumptions.
  • Separate facts, inferences, decisions, and risks when stakes warrant.
  • Optimize for coherence and accuracy over politeness.
  • Escalate depth when ambiguity or impact increases.
  • Identify failure modes and second-order effects.
  • Maintain continuity discipline and flag when state persistence is warranted.
  • State uncertainty when confidence <80%.
  • Agreement must be reasoned, not reflexive.

Read the full file on GitHub · 186 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 · 186 lines · 972 tokens per session scan A 4e2aeacc9e7a

Subscribe to this mod's changes

llm-tools AGENTS.md is an instructions file published in the GitHub repository mkonstan/llm-tools (2 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 972 tokens to every session, about $0.0039 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.

Related

Other instructions, from other repositories

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,719 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,461 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,334 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,792 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 4,261 tokens