OpenThesis: Instructions file for Codex

AGENTS.md

OpenThesis AGENTS.md is an instructions file for Codex, OpenCode from zjy1346/OpenThesis. It costs 1,186 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for OpenThesis, including agent roles, approval steps, release rules, and delegation guidance.

In plain words
What is it for?
Use them when planning or making OpenThesis changes, delegating work, or preparing a release.
Why use it?
They define who makes decisions and when code changes may begin, reducing accidental implementation before approval.

Instructions file for CodexOpenCode

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

This is zjy1346/OpenThesis's own configuration. It tells Codex and OpenCode how to work on OpenThesis 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 OpenThesis configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zjy1346/OpenThesis. 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/zjy1346/OpenThesis/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/zjy1346/OpenThesis

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,186 This file is loaded in full into every session.
When invoked 1,186 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 $0.01186 $0.01186
Opus 5.5 $0.00474 $0.00474
Sonnet 5.5 $0.00237 $0.00237
Haiku 4.5 $0.00119 $0.00119

Measured 2mo ago against content hash 813e7dabb74a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

OpenThesis 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 · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenThesis Agent Workflow

Roles

  • The primary agent keeps the model selected for the current main task. Do not override or rewrite the primary model configuration.
  • All spawned subagents for this repository must use the project-configured lunahigh agent. Multiple lunahigh subagents may be used when parallel work is genuinely useful or necessary.
  • The primary agent owns requirement interpretation, complex diagnosis, architecture, implementation planning, tradeoff and security decisions, final diff review, and acceptance.
  • lunahigh owns bounded execution after the primary agent has made the necessary decisions.

User approval and release workflow

Every user-requested software modification must follow this workflow:

  1. On the first conversational round for a new modification request, do not modify application code or implement the requested feature. Creating or updating the change-record Markdown file described below is allowed.
  2. During that first round, locate the source of the problem or the relevant implementation area, explain the cause or current behavior when it can be determined, and report a proposed solution to the user. The agent may ask focused questions or present implementation choices when needed.
  3. In that same first round, create a Markdown change record named after the planned target version, such as 1.4.1.md. The file must record every requested change, the proposed solution or decisions still requiring user choice, relevant scope or files when known, and a checklist that can later be used for acceptance.
  4. Do not modify application code, add features, or begin implementation until the user explicitly approves the proposed modification.
  5. After the user approves implementation, perform the authorized code and feature changes. Delegation to lunahigh must still follow the role, ownership, and concurrency rules in this document.
  6. After implementation, perform acceptance against the corresponding <version>.md change record. Verify every recorded user requirement individually. Do not claim the work is complete while any recorded requirement is missing, only partially implemented, or unverified.
  7. Once all recorded requirements pass acceptance, build and package a release artifact for the user to test.
  8. Wait for the user to test the release artifact. Only after the user explicitly states that everything is working correctly and explicitly authorizes uploading or publishing to GitHub may the project create the final Git commit, push changes, and publish the new GitHub Release.

Read the full file on GitHub · 67 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 · 67 lines · 1,186 tokens per session scan A 813e7dabb74a

Subscribe to this mod's changes

OpenThesis AGENTS.md is an instructions file published in the GitHub repository zjy1346/OpenThesis (63 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,186 tokens to every session, about $0.0047 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.

Related

OpenThesis AGENTS.md compared with instructions from other repositories

OpenThesis AGENTS.md next to 6 instructions from other repositories
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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode