trader-portfolio 100/100

Is trader-portfolio safe to install?

SaferSkills independently audited trader-portfolio (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-portfolio/SKILL.md · 1 file

plugins/ruflo-neural-trader/skills/trader-portfolio/SKILL.md1.7 KB · Markdown

name: trader-portfolio

description: Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan

allowed-tools: Bash Read mcp__claude-flow__memory_store mcp__claude-flow__memory_retrieve mcp__claude-flow__memory_search mcp__claude-flow__neural_predict mcp__claude-flow__agentdb_pattern-search

argument-hint: "[--risk-target NUMBER]"

Optimize portfolio allocation using neural-trader's portfolio engine.

Steps:

Ensure neural-trader is available:

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

Load current portfolio:

mcp__claude-flow__memory_search({ query: "current portfolio holdings", namespace: "trading-portfolio" })

Run portfolio optimization:

   npx neural-trader --portfolio optimize

With risk target:

   npx neural-trader --portfolio optimize --risk-target <number>

Get risk metrics:

   npx neural-trader --risk assess --portfolio current
   npx neural-trader --var --portfolio current
   npx neural-trader --correlation --portfolio current --flag-threshold 0.8

Use SONA for expected return prediction:

mcp__claude-flow__neural_predict({ input: "expected returns for [HOLDINGS] given current regime" })

Generate rebalancing plan:

   npx neural-trader --portfolio rebalance

Output: trades needed, current vs target weights, estimated costs

Search for similar allocations in history:

mcp__claude-flow__agentdb_pattern-search({ query: "optimized portfolio Sharpe > 1", namespace: "trading-portfolio" })

Store optimized allocation:

mcp__claude-flow__memory_store({ key: "portfolio-optimal-TIMESTAMP", value: "ALLOCATION_JSON", namespace: "trading-portfolio" })

trader-portfolio— agent skill

Is trader-portfolio safe to install?

Audit the pieces. Scan the whole. Decide.