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/CLAUDE.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/claude-md)<a href="https://agentmods.dev/instructions/dolores-research/wagmi-bench/claude-md"><img src="https://agentmods.dev/badge/instructions/dolores-research/wagmi-bench/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/dolores-research/wagmi-bench/claude-md"><img src="https://agentmods.dev/badge/instructions/dolores-research/wagmi-bench/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 | $0.01772 | $0.01772 |
| Opus 5 | $0.00886 | $0.00886 |
| Sonnet 5 | $0.00354 | $0.00354 |
| Haiku 4.5 | $0.00177 | $0.00177 |
Grade A, and why
wagmi-bench 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 10d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — WAGMI Bench
WAGMI Bench is a local, deterministic BTC perpetual-futures survival benchmark:
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. Results are survival-stress evidence — liquidation survival,
drawdown control, funding drag, turnover, rule-following. When reporting a
result, never state or imply predictive ability, expected future returns, or
adoption; say what survived, what was liquidated, and how it read against the
baselines on frozen data. Bundles and reports are immutable: every --output
must be a path that does not exist yet, and nothing inside a bundle is ever
edited. AGENTS.md has the fuller reference; this file is the short version.
When the user asks X, do Y
| User asks | Do |
|---|---|
| "does this thing work / show me a report" | Keyless demo below (fixture, no keys). |
| "run the crash packs" / names a scenario | packs list → fetch-data --pack ID → run baselines + candidate → compare. |
| "benchmark GPT/Claude/a model on this" | --agent llm-local with the user's key; surface the cost estimate before confirming. |
| "wire in my strategy/bot" | wagmibench init → implement decide() → --agent http --agent-url. |
| "wire my EvoSkill skills in" | TRADEVOLVE_AGENT_MODE=evoskill + agents.server, then --agent llm --agent-url. |
| "here's my strategy in markdown" | Not a supported input; it must be SKILL.md format first. |
| "how did my agent do vs baselines" | compare over the candidate + baseline bundles on the same pack; read the tier. |
| "is this result real / can you verify it" | replay --bundle --pack; require verdict COMPLETE. |
| "share this result" | wagmibench share --bundle DIR --output DIR (redacted sub-bundle). |
Setup
uv sync --group dev
Run everything from the repository root as uv run wagmibench ....
Keyless demo
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
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.
- 10d ago First seen · 163 lines · 1,772 tokens per session scan A b0f19fdac3db
wagmi-bench CLAUDE.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 1,772 tokens to every session, about $0.0089 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).
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.
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.