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gpt2agent: Instructions file for Claude Code

CLAUDE.md

gpt2agent CLAUDE.md is an instructions file for Claude Code from robotlearning123/gpt2agent. It costs 1,033 tokens per session, scanned A, original, MIT.

Repository instructions for gpt2agent, an MCP server that exposes ChatGPT account features to MCP clients. They describe its Python code, tools, tests, server command, and rules for handling temporary sessions and tokens.

In plain words
What is it for?
Building and testing gpt2agent, locating its tool modules, starting the server, and preserving its token and session safeguards.
Why use it?
They help contributors understand the project structure and avoid breaking feature restrictions or exposing account credentials.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads ~/.codex paths; mentions Codex.

This is robotlearning123/gpt2agent's own configuration. It tells Claude Code how to work on gpt2agent 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 gpt2agent configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/robot/workspace/47-chatgpt2agent/gpt2agent,.

not rated 52repo changed 19d ago A scan 1,033 tokens original MIT
View source ↗ robotlearning123/gpt2agent
Reuse

Borrowing it

Nothing to install: this file belongs to robotlearning123/gpt2agent. 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/robotlearning123/gpt2agent/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/robotlearning123/gpt2agent

Made for: Claude Code.

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Per session 1,033 This file is loaded in full into every session.
When invoked 1,033 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 $0.01033 $0.01033
Opus 5.5 $0.00413 $0.00413
Sonnet 5.5 $0.00207 $0.00207
Haiku 4.5 $0.00103 $0.00103

Measured 19d ago against content hash 7df09efdf04a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gpt2agent 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 19d 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.

CLAUDE.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gpt2agent

MCP server exposing full ChatGPT Plus/Pro account features to any MCP client.

Build & Test

bash .claude/verify.sh              # full offline suite + ruff (uv --extra dev)
python -m gpt2agent run             # start MCP server (stdio)

Key Files

  • gpt2agent/server.py — MCP tool registration (38 tools), config loading
  • gpt2agent/sse.py — Async SSE client for /backend-api/conversation + /f/conversation (chat, DR, agent, image gen, code interpreter, canvas); sentinel bridge integration; v1 delta-encoding parser; usage-cap pre-flight; inline citation rendering
  • gpt2agent/sim.py — Shared simulation profile: one persistent browser identity (impersonation, UA, device/session ids, geo) for seed→mint→prepare→POST
  • gpt2agent/sentinel_bridge.py — Owner-supplied bridge loader (fingerprint p + PoW + VM turnstile + conduit); opt-in via ENABLED marker or env
  • gpt2agent/citations.py — DR inline citation rendering (citeturn markers → N)
  • gpt2agent/browser.py — Playwright Chrome transport (optional extra gpt2agent[browser])
  • gpt2agent/backend.py — Sync HTTP client (curl_cffi), token management
  • gpt2agent/tools/ — Tool modules (21 of 38; the 6 SSE chat/DR tools, usage_stats, and the 4 queue tools live in server.py)
  • gpt2agent/sim.py — Shared website-simulation identity (persistent device/session IDs, impersonation, geo-consistent timezone/locale)
  • gpt2agent/ratelimit.py — Shared client-side budget: file-backed sliding window + upstream cooldown registry, cross-process for multi-agent fleets
  • gpt2agent/sentinel.py — Legacy POW + Turnstile gate (fallback path)

Critical Invariants

  • temporary=True (chat default) sets history_and_training_disabled=True, blocking image gen, code interpreter, canvas, and memory writes. Tools needing these MUST pass temporary=False.
  • Deep Research requires temporary=False (refuses temporary chats).
  • manual=True > browser=True > REST (transport precedence).
  • Token reloaded from ~/.codex/auth.json or ~/.gpt2agent/token.json on each request (mtime check).
  • BackendClient is synchronous. Async tools must wrap in asyncio.to_thread().
  • Sentinel bridge is opt-in: ~/.gpt2agent/sentinel-bridge/ENABLED marker or GPT2AGENT_SENTINEL_BRIDGE env. GPT2AGENT_SENTINEL_BRIDGE_OFF=1 forces legacy path (tests set this in conftest.py).
  • The bridge directory is NOT part of this distribution — see docs/dev/specs/sentinel-vm.md for the replacement spec.

Read the full file on GitHub · 64 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. 19d ago Changed 7df09efdf04a
  2. 25d ago Changed · +35 tokens per session dcd0e7badc29
  3. 1mo ago Changed · +5 lines · +32 tokens per session f8ab4d806d28
  4. 1mo ago Changed · +25 lines · +525 tokens per session 6a3d52fed82c
  5. 1mo ago First seen · 34 lines · 441 tokens per session scan A dfe703ea86f0

Subscribe to this mod's changes

gpt2agent CLAUDE.md is an instructions file published in the GitHub repository robotlearning123/gpt2agent (52 stars, last pushed 5d ago), licensed MIT. It adds 1,033 tokens to every session, about $0.0041 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.

Building agentsClaude CodeTestingagentai-agentchatgptchatgpt-apiclaude
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