wagmi-bench: Instructions file for Codex

AGENTS.md

wagmi-bench AGENTS.md is an instructions file for Codex, OpenCode from Dolores-Research/wagmi-bench. It costs 2,436 tokens per session, scanned A, original, Apache-2.0.

Instructions for WAGMI Bench, a local test that replays recorded Bitcoin perpetual-futures market periods for trading agents. It records decisions, risk checks, simulated trades, account records, and results in an evidence bundle.

In plain words
What is it for?
Use it to run keyless demos, compare an agent with fixed baselines, and report liquidation survival, drawdown, funding costs, turnover, and rule-following.
Why use it?
It provides a controlled way to test survival under stressful historical conditions without claiming that the agent can predict markets or earn future returns. Immutable output rules make results easier to verify.

Instructions file for CodexOpenCode

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

This is Dolores-Research/wagmi-bench's own configuration. It tells Codex and OpenCode how to work on wagmi-bench 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 wagmi-bench configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Dolores-Research/wagmi-bench. 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/Dolores-Research/wagmi-bench/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Dolores-Research/wagmi-bench

Made for: Codex, OpenCode.

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Per session 2,436 This file is loaded in full into every session.
When invoked 2,436 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 $0.02436 $0.02436
Opus 5 $0.01218 $0.01218
Sonnet 5 $0.00487 $0.00487
Haiku 4.5 $0.00244 $0.00244

Measured 9d ago against content hash 93240a3c478d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

wagmi-bench 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 9d 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 · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — operating WAGMI Bench

WAGMI Bench is a local, deterministic BTC perpetual-futures survival benchmark for trading agents: it replays recorded market windows, feeds an agent point-in-time observations, and seals decisions, risk checks, fills, ledgers, and metrics into a verifiable evidence bundle. Claim discipline: every result is survival-stress evidence — liquidation survival, drawdown control, funding drag, turnover, rule-following under stress. When writing up a result, never state or imply predictive ability, expected future returns, or adoption; report what survived, what was liquidated, and how it read against fixed baselines on frozen data. Evidence rule: bundles and reports are immutable. Every --output must be a path that does not exist yet, and files inside a bundle are never edited or hand-assembled. If a run was wrong, run again into a new directory.

Setup

Requires Git and uv. Run everything from the repository root.

uv sync --group dev
uv run wagmibench --help

Never activate the venv; every command is uv run wagmibench ..., and the only bare-Python step is the agent server via uv run python ....

Keyless demo (no network, no keys)

uv run wagmibench run --pack fixtures/golden-mini/pack --output bundles/demo
uv run wagmibench report --bundle bundles/demo --output reports/demo
open reports/demo/report.html   # Linux: xdg-open

Committed synthetic fixture, keyless momentum policy — prove the toolchain works here before spending anything.

Real pack + baselines + compare

uv run wagmibench packs list
uv run wagmibench fetch-data --pack covid-black-thursday

for a in buyhold shorthold flat momentum; do
  uv run wagmibench run --pack covid-black-thursday --agent "$a" \
    --output "bundles/covid-$a"
done

uv run wagmibench compare \
  --bundle bundles/covid-buyhold --bundle bundles/covid-shorthold \
  --bundle bundles/covid-flat --bundle bundles/covid-momentum \
  --output reports/covid-compare

Read the full file on GitHub · 211 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. 9d ago First seen · 211 lines · 2,436 tokens per session scan A 93240a3c478d

Subscribe to this mod's changes

wagmi-bench AGENTS.md is an instructions file published in the GitHub repository Dolores-Research/wagmi-bench (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,436 tokens to every session, about $0.0122 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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