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.
curl -O https://raw.githubusercontent.com/Dolores-Research/wagmi-bench/main/AGENTS.mdgit clone --depth 1 https://github.com/Dolores-Research/wagmi-benchWrote 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/dolores-research/wagmi-bench/agents-md)<a href="https://agentmods.dev/instructions/dolores-research/wagmi-bench/agents-md"><img src="https://agentmods.dev/badge/instructions/dolores-research/wagmi-bench/agents-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/dolores-research/wagmi-bench/agents-md"><img src="https://agentmods.dev/badge/instructions/dolores-research/wagmi-bench/agents-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 | $0.02436 | $0.02436 |
| Opus 5 | $0.01218 | $0.01218 |
| Sonnet 5 | $0.00487 | $0.00487 |
| Haiku 4.5 | $0.00244 | $0.00244 |
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.
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
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.
- 9d ago First seen · 211 lines · 2,436 tokens per session scan A 93240a3c478d
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.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.