investorclaw

investorclaw is a skill for Claude Code from argonautsystems/InvestorClaw. It costs 45 tokens per session (2,915 once invoked), scanned A, original, Apache-2.0.

A portfolio-analysis service that Hermes can access as native MCP-HTTP tools. It provides investment analysis through tools such as portfolio questions and memory or knowledge-graph searches.

In plain words
What is it for?
Use it to analyze holdings and performance, review Sharpe and Sortino measures, inspect Federal Reserve yield data and bond duration, examine sectors, and test rebalancing scenarios.
Why use it?
It removes the older need for Hermes to read instructions and imitate analysis through shell commands, reducing that extra layer between the agent and the portfolio tools.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: positional $N argument; mentions Claude Code; built for openclaw.

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

Good fit Use it to analyze holdings and performance, review Sharpe and Sortino measures, inspect Federal Reserve yield data and bond duration, examine sectors, and test rebalancing scenarios.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/argonautsystems/investorclaw/hermes
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 hermes
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/hermes/github.svg)](https://agentmods.dev/skills/argonautsystems/investorclaw/hermes)
Your own site
<a href="https://agentmods.dev/skills/argonautsystems/investorclaw/hermes"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/hermes/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/hermes"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/hermes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,915 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 $0.00045 $0.02915
Opus 5 $0.00023 $0.01458
Sonnet 5 $0.00009 $0.00583
Haiku 4.5 $0.00005 $0.00292

Measured 10d ago against content hash 29895ce7ff2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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/hermes/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

InvestorClaw — Hermes Skill (v4.0)

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

TL;DR for hermes operators

InvestorClaw v4.0 turns hermes into a first-class portfolio-analysis agent. The service runs as two local Docker containers and exposes its capabilities over MCP-HTTP. Hermes 0.12+ registers the MCP servers as native function-callable tool sources — the LLM sees investorclaw.portfolio_ask, mnemos.search_memories, and friends in the same tool catalog as browser_*, terminal, and skill_view.

Headline upgrade — HER-1 is gone. Read the next section if you remember v2.x.

What changed since v2.x — HER-1 elimination

If you ran InvestorClaw v2.x against hermes, you hit HER-1: the "skill-as-doc-hint" caveat. In v2.x, InvestorClaw shipped as a hermes skill bundle injected into the system prompt. The LLM had to use hermes meta-tools (skill_view, terminal) to read the skill documentation and then imitate the analyst commands by shelling out. That indirection layer was lossy and slow, and the Linux baseline empirical reliability landed around 8% (2.3/30) on the standard prompt barrage — vs 77% on zeroclaw, which had real tool registration.

v4.0 ends that. There is no skill bundle to inject. The deterministic engine runs as a containerized service and publishes its analytical surface over MCP-HTTP. Hermes 0.12+ registers MCP servers declaratively in ~/.hermes/config.yaml and exposes their tools to the LLM directly — same dispatch path as any other built-in tool.

What this means in practice for hermes users:

  • No more meta-tool indirection. The LLM calls investorclaw.portfolio_ask directly, not via skill_viewterminal → fragile shell parsing.
  • Reliability now matches other agent runtimes. Expect the same routing accuracy as zeroclaw / openclaw — roughly an order of magnitude better than v2.x on the same prompts.
  • Memory is built in. The mnemos.* tool family gives hermes a persistent memory layer it never had before, scoped to InvestorClaw observations and user preferences.
  • No skill bundle to keep in sync. Bumping the service to a newer ic-engine version is docker compose pull && docker compose up -d. The tool catalog hermes sees is whatever the running service publishes.

Read the full file on GitHub · 261 lines

Files

What ships with it

3 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. 10d ago First seen · 261 lines · 45 tokens per session scan A 29895ce7ff2a

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 45 tokens to every session and 2,915 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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