investorclaw

investorclaw is a skill for Claude Code from argonautsystems/InvestorClaw. It costs 46 tokens per session (2,018 once invoked), scanned A, original, Apache-2.0.

A portfolio analysis service that runs in Docker on your computer and gives Claude Desktop tools through MCP-HTTP. MCP is a way for an AI assistant to call external tools.

In plain words
What is it for?
Use it to connect Claude Desktop to tools for portfolio questions and analysis after starting the Docker services and configuring Claude Desktop.
Why use it?
It lets Claude answer portfolio questions using a local analysis service instead of relying only on conversation text.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: built for openclaw.

Part of the investorclaw plugin — 7 skills, 2 commands shipped together

Good fit Use it to connect Claude Desktop to tools for portfolio questions and analysis after starting the Docker services and configuring Claude Desktop.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/argonautsystems/investorclaw/claude-desktop
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add argonautsystems/InvestorClaw --skill claude-desktop
Clone the repo
git clone --depth 1 https://github.com/argonautsystems/InvestorClaw

Made for: Claude Code.

Or install investorclaw, the plugin that ships this one along with the rest of its 7 skills, 2 commands.

Wrote 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.

agentmods badge for investorclaw

README.md
[![agentmods](https://agentmods.dev/badge/skills/argonautsystems/investorclaw/claude-desktop/github.svg)](https://agentmods.dev/skills/argonautsystems/investorclaw/claude-desktop)
Your own site
<a href="https://agentmods.dev/skills/argonautsystems/investorclaw/claude-desktop"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/claude-desktop/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.

agentmods 80×15 button for investorclaw

Your own site · 80×15
<a href="https://agentmods.dev/skills/argonautsystems/investorclaw/claude-desktop"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/claude-desktop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,018 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.02018
Opus 5 $0.00023 $0.01009
Sonnet 5 $0.00009 $0.00404
Haiku 4.5 $0.00005 $0.00202

Measured 11d ago against content hash 49a2585dac80, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

investorclaw 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 11d 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.

skill/agent-skills/claude-desktop/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

InvestorClaw — Claude Desktop Reference

Powered by InvestorClaw (Apache 2.0). This reference doc is MIT-0-licensed; the underlying service is Apache 2.0.

What this is

InvestorClaw is a containerized, deterministic portfolio analysis service. It runs on your machine as two Docker containers (a Rust memory server and a Python analysis engine) and exposes its capabilities to Claude Desktop over MCP-HTTP.

Claude Desktop has no plugin system — instead, it connects to MCP servers declared in claude_desktop_config.json. Once you run docker compose up -d and add two short blocks to that config file (see INSTALL.md), Claude Desktop gains an entire portfolio-analysis toolkit that you can invoke just by chatting.

There is no marketplace step. There is no plugin to install. The service is the substrate; Claude Desktop is the interface.

Tools that become available after install

Once both MCP servers are wired up and Claude Desktop has been fully quit and relaunched, the model gains two new tool namespaces.

Portfolio analysis (investorclaw.*)

Tool What it does
investorclaw.portfolio_ask Natural-language question routed through the deterministic engine
investorclaw.portfolio_holdings Current snapshot of positions, values, and weights
investorclaw.portfolio_performance Sharpe, volatility, top/bottom performers, max drawdown
investorclaw.portfolio_bonds Bond analytics — YTM, duration, FRED yield curve
investorclaw.portfolio_analyst Analyst consensus ratings per holding
investorclaw.portfolio_news News correlation for held positions
investorclaw.portfolio_lookup Ticker / account lookup
investorclaw.portfolio_optimize Modern Portfolio Theory (Sharpe / min-vol)
investorclaw.portfolio_rebalance Current vs. target with tax impact
investorclaw.portfolio_scenario What-if scenarios (rate moves, drawdowns)
investorclaw.portfolio_cashflow Projected dividends and bond coupons
investorclaw.portfolio_peer Peer comparison vs. benchmark
investorclaw.portfolio_setup Auto-discover portfolio files in /data/portfolios/
investorclaw.portfolio_refresh Refresh market data without re-uploading files
investorclaw.portfolio_guardrails View / configure educational-only guardrails

Read the full file on GitHub · 181 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 11d ago First seen · 181 lines · 46 tokens per session scan A 49a2585dac80

Subscribe to this mod's changes

investorclaw is a skill published in the GitHub repository argonautsystems/InvestorClaw (9 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 2,018 once invoked, about $0.0002 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 2026-08-31.

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