Borrowing it
Nothing to install: this file belongs to llv22/AutoResearchWithEyes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/llv22/AutoResearchWithEyes/main/CLAUDE.mdgit clone --depth 1 https://github.com/llv22/AutoResearchWithEyesWrote 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.
[](https://agentmods.dev/instructions/llv22/autoresearchwitheyes/claude-md)<a href="https://agentmods.dev/instructions/llv22/autoresearchwitheyes/claude-md"><img src="https://agentmods.dev/badge/instructions/llv22/autoresearchwitheyes/claude-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.
<a href="https://agentmods.dev/instructions/llv22/autoresearchwitheyes/claude-md"><img src="https://agentmods.dev/badge/instructions/llv22/autoresearchwitheyes/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01627 | $0.01627 |
| Opus 5.5 | $0.00651 | $0.00651 |
| Sonnet 5.5 | $0.00325 | $0.00325 |
| Haiku 4.5 | $0.00163 | $0.00163 |
Grade A, and why
AutoResearchWithEyes CLAUDE.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 18d 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.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AutoResearchWithEyes: Centralized Constants
All skills, commands, and agents in this plugin reference these shared constants. Override per-invocation by passing inline arguments (e.g., — pilot budget: 4h).
Models (cross-model, no self-play)
Two roles, two different families — Claude executes, GPT reviews. This adversarial split is the framework's core principle; do not collapse both roles onto one family.
- EXECUTOR_MODEL =
claude-fable-5(Fable 5) — the Claude Code model that drives the pipeline: idea filtering/synthesis, literature review, novelty judgment, and writing. Use it for more solididea-discoveryoutput. Run the/autor.*commands under this model (/model fablein Claude Code, or spawn via anAgentwith modelfable). (Verified available asclaude-fable-5on 2026-07-14.) - REVIEWER_MODEL =
gpt-5.6-sol— external critical reviewer + divergent brainstorm via codex-bridge (see below). Always run atmodel_reasoning_effort: xhigh. (Verified viacodex exec -m gpt-5.6-solon 2026-07-14; upgraded fromgpt-5.5.)
Note: raw idea generation and review go to REVIEWER_MODEL (Codex/GPT); the EXECUTOR (Claude/Fable 5) orchestrates, filters, and writes. Keeping them in separate families is what makes the review adversarial rather than self-review.
External Reviewer Calls (codex-bridge)
- CODEX_BRIDGE =
<plugin root>/codex-bridge/bin/codex-bridge— the only way skills, agents and commands talk to REVIEWER_MODEL (replaces Codex MCP;codex mcp-serverwas removed in Codex 0.154).<plugin root>is${CLAUDE_PLUGIN_ROOT}when loaded as a plugin, else this repo's root — always call it by absolute path. Details: codex-bridge/README.md.
Every REVIEWER_CALL block in this plugin means:
REVIEWER_CALL new [--web] # start a reviewer thread
REVIEWER_CALL reply --thread <threadId> [--web] # continue the same thread (keeps its memory)
prompt: |
...
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.
- 18d ago Changed · +39 lines · +676 tokens per session 79be09644f39
- 1mo ago First seen · 67 lines · 951 tokens per session scan A 909d070f53d6
AutoResearchWithEyes CLAUDE.md is an instructions file published in the GitHub repository llv22/AutoResearchWithEyes (5 stars, last pushed 19d ago), licensed MIT. It adds 1,627 tokens to every session, about $0.0065 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.
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).
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.
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).
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.
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).
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.