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investorclaw

ASecurity

Deterministic-first portfolio analyzer — holdings, performance, Sharpe + Sortino, FRED yield curves, bond duration, sector breakdowns, scenario rebalancing.

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  • Added May 26, 2026
documentationpythongobashdockertestinggitapisecurityperformancedocumentation

Works with

  • claude code
  • api
  • mcp

Security analysis

A100/100

Pro scans all 18 files and shows the line behind each finding

Scanned May 27, 2026

npx -y skills add argonautsystems/InvestorClaw --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: investorclaw
description: Deterministic-first portfolio analyzer — holdings, performance, Sharpe + Sortino, FRED yield curves, bond duration, sector breakdowns, scenario rebalancing.
homepage: https://github.com/argonautsystems/InvestorClaw
user-invocable: true
metadata: {"license":"MIT-0","version":"4.1.31","upstream-runtime":"https://github.com/mnemos-os/mnemos-ic-runtime","upstream-engine":"https://github.com/argonautsystems/ic-engine"}
---

<!--
SPDX-License-Identifier: MIT-0
Copyright 2026 InvestorClaw Contributors
-->

# InvestorClaw

This repository is the **umbrella project** for InvestorClaw — README,
license, regression harness, and the public face. The agent-readable
SKILL.md that ClawHub publishes lives in the runtime repo:

- **Dockerized v4.x runtime + ClawHub-published SKILL.md**:
  [`mnemos-os/mnemos-ic-runtime`](https://github.com/mnemos-os/mnemos-ic-runtime)
- **v2.6.x Claude Code marketplace plugin** (in-process via uv):
  [`argonautsystems/InvestorClaude`](https://github.com/argonautsystems/InvestorClaude)
- **Engine source** (Python analyzers): [`argonautsystems/ic-engine`](https://github.com/argonautsystems/ic-engine)

## Install (v4.x dockerized runtime)

```bash
git clone https://github.com/mnemos-os/mnemos-ic-runtime.git ~/.investorclaw
cd ~/.investorclaw
mkdir -p portfolios
docker compose up -d
```

The compose pulls
\`ghcr.io/argonautsystems/ic-engine:4.1.25-cpu\` (publicly hosted, no
auth) and runs it on \`localhost:18090\` (MCP + REST) and
\`localhost:18092\` (dashboard).

For the full agent-readable spec (12-tool catalog, first-run timeline,
per-runtime config blocks, troubleshooting), see the published
[SKILL.md in the runtime repo](https://github.com/mnemos-os/mnemos-ic-runtime/blob/main/SKILL.md).

## Documentation

This umbrella repo carries the comprehensive doc set:

- [README.md](README.md) — features, quick start, model + API key
  recommendations
- [STONKMODE.md](STONKMODE.md) — narrated commentary mode
- [CAPABILITIES.md](CAPABILITIES.md) — full feature catalog
- [PRIVACY.md](PRIVACY.md) — data-handling policy
- [DISCLAIMER.md](DISCLAIMER.md) — educational-use disclaimer
- [SECURITY.md](SECURITY.md) — vulnerability disclosure
- [CHANGELOG.md](CHANGELOG.md) — release history
- [docs/](docs/) — EOD report, glossary, philosophy, install models,
  COBOL testing, MCP tools reference, Stonkmode architecture +
  avatar legend, Windows setup guide
- [docs/references/](docs/references/) — input / output / schema /
  consultative-LLM contracts

## License

- This umbrella repo: Apache 2.0 (substantive code) + MIT-0 (SKILL.md,
  agent-skills artifacts).
- Per-file SPDX-License-Identifier headers indicate the applicable
  license.

InvestorClaw is educational only. Not financial advice.

Files in this skill

  • .env.example7.2 KB
  • .python-version5 B
  • CAPABILITIES.md20.2 KB
  • CHANGELOG.md11.8 KB
  • CODE_OF_CONDUCT.md4.8 KB
  • CONTRIBUTING.md3.1 KB
  • DISCLAIMER.md2.5 KB
  • Makefile2.3 KB
  • PRIVACY.md7.6 KB
  • SECURITY.md3.9 KB
  • SKILL.md2.7 KB
  • STONKMODE.md6.9 KB
  • VERSION.md2.3 KB
  • assets/eod-report-sample.html31.5 KB
  • assets/investorclaw-logo-192.jpg4 KB
  • assets/investorclaw-logo-192.webp2.6 KB
  • assets/investorclaw-logo.jpg32.4 KB
  • assets/investorclaw-logo.svg1.4 KB

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