Borrowing it
Nothing to install: this file belongs to 0xSanei/darwinia. 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/0xSanei/darwinia/main/CLAUDE.mdgit clone --depth 1 https://github.com/0xSanei/darwiniaWrote 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/0xsanei/darwinia/claude-md)<a href="https://agentmods.dev/instructions/0xsanei/darwinia/claude-md"><img src="https://agentmods.dev/badge/instructions/0xsanei/darwinia/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/0xsanei/darwinia/claude-md"><img src="https://agentmods.dev/badge/instructions/0xsanei/darwinia/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 | $0.00613 | $0.00613 |
| Opus 5 | $0.00307 | $0.00307 |
| Sonnet 5 | $0.00123 | $0.00123 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
darwinia 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code Instructions for Darwinia
Project Type
Python evolutionary trading agent system. Genetic algorithms + adversarial arena.
Commands
python -m darwinia evolve -g 50— run evolutionpython -m darwinia evolve --multi— multi-asset evolutionpython -m darwinia evolve --macro— macro-aware evolutionpython -m darwinia arena— test against attackspython -m darwinia validate— walk-forward overfitting checkpython -m darwinia explain— gene ablation analysispython -m darwinia fetch— fetch live data from Binance/CoinGeckopython -m darwinia scan— discover trending/volatile assetspython -m darwinia dashboard— Streamlit UIpython -m darwinia info— system infopytest tests/ -v— run 84 tests
Code Style
- Python 3.9+, type hints, dataclasses
- numpy for numerics, no pandas in core
- All genes normalized to [0, 1]
- All text in English (no Chinese)
Key Architecture
darwinia/core/— DNA, agent, market (foundation layer)darwinia/evolution/— population, fitness, engine (evolution loop)darwinia/arena/— adversary, arena (adversarial testing)darwinia/discovery/— pattern analyzer, gene explainer, asset scannerdarwinia/chronicle/— recorder, speciation trackerdarwinia/personality/— profiling + regime detectiondarwinia/knowledge/— Layer 3: pattern marketplacedarwinia/data/— live data fetching (Binance, CoinGecko)darwinia/macro/— macro regime simulation + regime-aware fitnessdarwinia/integrations/— skill composability (SkillBridge, SkillRegistry)darwinia/validation/— walk-forward validation
Testing
pytest tests/ -v # 84 tests across 10 test files
Adding Features
- New gene: add field to
AgentDNAindna.py, add toGENE_FIELDSlist - New attack: add to
ATTACK_TEMPLATESinadversary.py - New fitness component: modify
evaluate()infitness.py - New indicator: add
_calc_*method inagent.py, wire into_compute_signal() - New data source: add method to
DataFetcherindata/fetcher.py - New skill integration: add template to
SkillRegistryinintegrations/skill_bridge.py
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 · 50 lines · 613 tokens per session scan A 495041118852
darwinia CLAUDE.md is an instructions file published in the GitHub repository 0xSanei/darwinia (87 stars, last pushed 4mo ago), licensed MIT. It adds 613 tokens to every session, about $0.0031 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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