Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)
Install the "trader-backtest" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-backtest into .claude/skills/trader-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-backtest", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add ruvnet/ruflo --skill trader-backtest -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "trader-backtest" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-backtest into .agents/skills/trader-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-backtest", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add ruvnet/ruflo --skill trader-backtest -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "trader-backtest" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-backtest into .cursor/skills/trader-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-backtest", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add ruvnet/ruflo --skill trader-backtest -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "trader-backtest" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-backtest into .gemini/skills/trader-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-backtest", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
GitHub CLI
$ gh skill install ruvnet/ruflo trader-backtest
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add ruvnet/ruflo --skill trader-backtest -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "trader-backtest" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-backtest into .github/skills/trader-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-backtest", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add ruvnet/ruflo --skill trader-backtest -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "trader-backtest" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-neural-trader/skills/trader-backtest into .opencode/skills/trader-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trader-backtest", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
trader-backtest
GitHub stars
74k
Token cost
~1.4k tokens
SKILL.md length
485 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT
At a glance
Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)
Works in 9 steps: Ensure neural-trader is available → Check for saved strategy config → Run backtest via neural-trader CLI → …
Tasks that involve Trading and backtesting
Calls npx, npm and node; needs OLD_KEY
Tasks that involve Architecture decision records
What it does
Trader Backtest is an agent skill from ruvnet/ruflo. Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Trading and backtesting and Architecture decision records. It works with Rust and Model Context Protocol. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx and npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OLD_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Trader Backtest loads about 1.4k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 485 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~51
When it runs· the whole SKILL.md, loaded when a task matches
~1.4k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Download SKILL.mdSave it as .claude/skills/trader-backtest/SKILL.md (or your agent's skills folder).
name
trader-backtest
description
Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)
Run a historical backtest using the neural-trader Rust/NAPI engine, then Ed25519-sign the result so the paper→live promotion gate has cryptographic tamper evidence (ADR-126 Phase 4 + CWE-347 pattern).
Steps:
Ensure neural-trader is available:
npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader
Check for saved strategy config:
mcp__plugin_ruflo-core_ruflo__memory_retrieve({ key: "strategy-STRATEGY_NAME", namespace: "trading-strategies" })
If not found, list available: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "strategy", namespace: "trading-strategies", limit: 10 })
Capture performance metrics from output: total return, annualized return, Sharpe ratio, Sortino ratio, max drawdown, win rate, profit factor, number of trades.
Dedup prior backtests for the same (strategyId, paramsHash) before storing the fresh one (ADR-125 lifecycle / ADR-126 Phase 2 — keep-newest semantics):
For each hit whose key matches backtest-STRATEGY-* AND whose stored paramsHash equals the current run's hash, delete it: mcp__plugin_ruflo-core_ruflo__memory_delete({ key: "OLD_KEY", namespace: "trading-backtests" })
(Note: even without this proactive step, the MemoryConsolidator.dedup('keep-newest') background pass introduced in @claude-flow/memory@3.0.0-alpha.18 runs every 6h and will eventually converge. Doing it inline keeps memory_search results deterministic immediately after a re-run.)
Sign the artifact (ADR-126 Phase 4):
Build the SignedBacktestArtifact body — { strategyId, paramsHash, dataRange: {from,to}, metrics, runsHash, generatedAt } — where paramsHash = sha256(canonical params JSON), runsHash = sha256(canonical runs array JSON), and generatedAt = new Date().toISOString().
Resolve the witness signing key. The skill reads the key path in this order; the FIRST that resolves wins:
RUFLO_WITNESS_KEY_PATH env var — points to a JSON file with { "privateKey": "<hex>" }.
verification/witness-key.json (the ADR-103 default path, if present).
If the key resolves: call signBacktestArtifact(body, privateKeyHex) from plugins/ruflo-neural-trader/src/signed-artifact.mjs. The returned value is a SignedBacktestArtifact with schema, witnessPublicKey: "ed25519:<hex>", and witnessSignature: "<hex>" populated.
If NEITHER path resolves: log a loud warning — "[WARN] ruflo-neural-trader: no witness signing key found (RUFLO_WITNESS_KEY_PATH unset, verification/witness-key.json missing) — storing backtest artifact in UNSIGNED degraded mode. paper→live promotion will be refused by trader-cloud-backtest until a signed artifact replaces this one." — and store the body unsigned. NEVER silently fall back.
Store the (possibly signed) artifact to the canonical trading-backtests namespace:
mcp__plugin_ruflo-core_ruflo__memory_store({ key: "backtest-STRATEGY-TIMESTAMP", value: JSON.stringify(signedArtifact), namespace: "trading-backtests" })
The stored value contains witnessSignature + witnessPublicKey when signed; downstream consumers (trader-cloud-backtest) MUST call verifyBacktestArtifact(artifact, trustedPublicKey) before promoting any artifact to live.
If Sharpe > 1.5, store as successful pattern:
mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store({ pattern: "profitable-STRATEGY_TYPE", data: "PARAMS_AND_RESULTS" })
Train SONA on the outcome:
mcp__plugin_ruflo-core_ruflo__neural_train({ patternType: "trading-strategy", epochs: 10 })
Show full SKILL.md (98 more words)Show less
Key sourcing & key rotation (ADR-103)
The witness key is a 32-byte Ed25519 private key, stored as { "privateKey": "<64-hex-chars>" } in a JSON file referenced by RUFLO_WITNESS_KEY_PATH. Keep it OUT of the repo. For local development, generate one once with node -e "import('@noble/ed25519').then(async ed=>{const sk=crypto.getRandomValues(new Uint8Array(32));console.log(Buffer.from(sk).toString('hex'))})" and write it to ~/.ruflo/witness-key.json.
Production deployments pin the corresponding PUBLIC key in project config and supply it as trustedPublicKey to verifyBacktestArtifact(...) — never trust the witnessPublicKey field on the artifact itself (CWE-347 / #1922).
Key rotation: re-sign existing backtest entries with the new key OR explicitly mark pre-rotation artifacts as non-promotable. Same pattern as ADR-103.
Trader Backtest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
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Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4). Trader Backtest is an agent skill from ruvnet/ruflo.
When should I use Trader Backtest?
Trader Backtest fits situations like: tasks that involve Trading and backtesting; tasks that involve Architecture decision records.
How do I install Trader Backtest in Claude Code?
Run `npx skills add ruvnet/ruflo --skill trader-backtest -a claude-code`. Or copy the skill folder (plugins/ruflo-neural-trader/skills/trader-backtest in ruvnet/ruflo) into .claude/skills/trader-backtest in your project. Claude Code loads it when a task matches its description.
How do I install Trader Backtest in Codex?
Run `npx skills add ruvnet/ruflo --skill trader-backtest -a codex`. Or copy the skill folder (plugins/ruflo-neural-trader/skills/trader-backtest in ruvnet/ruflo) into .agents/skills/trader-backtest in your project. Codex loads it when a task matches its description.
Can I use Trader Backtest in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill trader-backtest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trader-backtest, .gemini/skills/trader-backtest, .github/skills/trader-backtest and .opencode/skills/trader-backtest in your project.
What does Trader Backtest need to run?
Going by SKILL.md and its folder, Trader Backtest needs the command-line tools its instructions call (npx, npm and node) and credentials named OLD_KEY. Our summary lists: Node.js; A credential in OLD_KEY. Its frontmatter pre-approves these tools: Bash, Read, mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_retrieve, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_delete, mcp__plugin_ruflo-core_ruflo__neural_train, mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store.
Does Trader Backtest access the network?
SKILL.md contains no URLs. Its commands use npx and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Trader Backtest safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Trader Backtest use?
Trader Backtest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Trader Backtest use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Trader Backtest?
Skills that share tags, products or a category with Trader Backtest: Tradingview MCP (atilaahmettaner/tradingview-mcp, 4.9k stars), Dr Manhattan (guzus/dr-manhattan, 204 stars), Agentic Trading Desk (Oft3r/agentic-trading-desk, 306 stars) and Okx Cex Market (dex-original/okx-agent-trade-kit, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trader Backtest?
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
