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.
npx skills add argonautsystems/InvestorClaw --skill claude-desktopgit clone --depth 1 https://github.com/argonautsystems/InvestorClawWrote 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/skills/argonautsystems/investorclaw/claude-desktop)<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.
<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>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 | $0.00046 | $0.02018 |
| Opus 5 | $0.00023 | $0.01009 |
| Sonnet 5 | $0.00009 | $0.00404 |
| Haiku 4.5 | $0.00005 | $0.00202 |
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.
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 |
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.
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.
- 11d ago First seen · 181 lines · 46 tokens per session scan A 49a2585dac80
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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