trader-train 100/100 — SaferSkills

Is trader-train safe to install?

SaferSkills independently audited trader-train (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

plugins/ruflo-neural-trader/skills/trader-train/SKILL.md · 1 file

plugins/ruflo-neural-trader/skills/trader-train/SKILL.md1.5 KB · Markdown

name: trader-train

description: Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals

allowed-tools: Bash Read mcp__claude-flow__memory_store mcp__claude-flow__memory_search mcp__claude-flow__neural_train

argument-hint: "<lstm|transformer|nbeats> --symbol <TICKER>"

Train neural prediction models using neural-trader's ML engine.

Steps:

Ensure neural-trader is available:

npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader

Train the specified model:

   npx neural-trader --model lstm --symbol TICKER --confidence 0.95
   npx neural-trader --model transformer --symbol TICKER --predict
   npx neural-trader --model nbeats --symbol TICKER --decompose

Review training output: loss curves, validation metrics, prediction accuracy
Generate predictions with confidence intervals:

   npx neural-trader --model MODEL --symbol TICKER --predict --horizon 5d

Compare model performance across types:

   npx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats"

Store model results (canonical trading-analysis namespace per ADR-126 Phase 1 — was previously stored to undeclared trading-models):

mcp__claude-flow__memory_store({ key: "model-MODEL-TICKER-DATE", value: "TRAINING_RESULTS", namespace: "trading-analysis" })

Train SONA on model outcomes:

mcp__claude-flow__neural_train({ patternType: "trading-model", epochs: 10 })

trader-train— agent skill

Is trader-train safe to install?

Audit the pieces. Scan the whole. Decide.