llm-tech-report: Instructions file for Codex

AGENTS.md

llm-tech-report AGENTS.md is an instructions file for Codex, OpenCode from ChenZiHong-Gavin/llm-tech-report. It costs 1,353 tokens per session, scanned A, original, MIT.

Instructions for maintaining an index of LLM technical reports, papers, and model cards. LLM means a large language model; the project stores report links in Markdown tables.

In plain words
What is it for?
Adding or correcting report entries, following date and type formats, maintaining company sections, and preserving links without downloading PDFs.
Why use it?
They define the single source of data, allowed fields, and rules such as keeping the English and Chinese indexes synchronized.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions AGENTS.md; mentions Codex.

This is ChenZiHong-Gavin/llm-tech-report's own configuration. It tells Codex and OpenCode how to work on llm-tech-report 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-tech-report configures →

Reuse

Borrowing it

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

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-tech-report AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/chenzihong-gavin/llm-tech-report/agents-md.svg)](https://agentmods.dev/instructions/chenzihong-gavin/llm-tech-report/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/chenzihong-gavin/llm-tech-report/agents-md"><img src="https://agentmods.dev/badge/instructions/chenzihong-gavin/llm-tech-report/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,353 This file is loaded in full into every session.
When invoked 1,353 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 $0.01353 $0.01353
Opus 5 $0.00677 $0.00677
Sonnet 5 $0.00271 $0.00271
Haiku 4.5 $0.00135 $0.00135

Measured 8d ago against content hash 326f8c64fcfc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

llm-tech-report 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 8d 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 · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents (Codex, etc.) working in the llm-tech-report repo.

Project

A curated index of LLM technical reports, papers, and model/system cards.

llm-tech-report/
├── README.md            ← The only data file. All reports live here.
├── README_CN.md         ← Chinese mirror of README.md — keep in sync.
├── CONTRIBUTING.md       ← Human-readable contribution guide
├── LICENSE
└── .claude/skills/…      ← Detailed skill docs (maintenance + logo-generation)

Core rule: links only — never download PDFs, never read/parse PDF content.

There are two kinds of task: (A) maintaining the report data and (B) regenerating the logo.


A. Report maintenance

README.md holds one Markdown table per company under an ## H2 heading:

## Company Name

| Date | Model | Type | Link |
|:-----|:------|:-----|:-----|
| YYYY-MM | Model Name | Type | [Display Text](URL) |

Field definitions

  • DateYYYY-MM (e.g. 2025-01)
  • Model — official model name / version (e.g. DeepSeek-R1)
  • Type — one of the allowed values below
  • Link[Display Text](URL)

Allowed Type values

  • Paper — peer-reviewed or arXiv publication
  • Technical Report — official technical document (not peer-reviewed)
  • System Card — safety / capability evaluation doc (OpenAI, Anthropic style)
  • Model Card — model spec / limitations doc (Google, HuggingFace style)
  • Blog — official company blog post (when no paper exists)
  • GitHub — official repo (when no paper or blog exists)

Link priority (highest → lowest)

  1. arXiv (arxiv.org/abs/…) — most stable
  2. Official CDN (cdn.openai.com, assets.anthropic.com, storage.googleapis.com)
  3. Official blog (openai.com/blog, qwen.ai/blog)
  4. GitHub repo (github.com/org/repo)
  5. Web Archive (web.archive.org) — only when the original is dead

If a model has both a paper and a system card, add two separate rows.

Operations

Read the full file on GitHub · 137 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. 8d ago First seen · 137 lines · 1,353 tokens per session scan A 326f8c64fcfc

Subscribe to this mod's changes

llm-tech-report AGENTS.md is an instructions file published in the GitHub repository ChenZiHong-Gavin/llm-tech-report (37 stars, last pushed 20d ago), licensed MIT. It adds 1,353 tokens to every session, about $0.0068 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.

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