investorclaw

investorclaw is a skill for Claude Code from argonautsystems/InvestorClaw. It costs 53 tokens per session (10,716 once invoked), scanned A, original, Apache-2.0.

A portfolio-analysis skill that uses InvestorClaw tools as the sole source for investment figures and market facts. It covers holdings, performance, market snapshots, bonds, sectors, and portfolio scenarios.

In plain words
What is it for?
Use it to ask about portfolio prices and performance, compare holdings with market benchmarks, inspect yield curves and bond duration, review sectors, and evaluate rebalancing scenarios.
Why use it?
It prevents an agent from guessing or mixing in stale figures when answering investment questions. Every stated number must come from a tool result returned in the same turn.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths; positional $N argument; mentions Claude Code.

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

Good fit Use it to ask about portfolio prices and performance, compare holdings with market benchmarks, inspect yield curves and bond duration, review sectors, and evaluate rebalancing scenarios.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/argonautsystems/investorclaw/skill
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 skill
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/skill.svg)](https://agentmods.dev/skills/argonautsystems/investorclaw/skill)
Your own site
<a href="https://agentmods.dev/skills/argonautsystems/investorclaw/skill"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,716 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Sonnet 5 · 7 Sept 2026 📄 Read the review
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 $0.00053 $0.10716
Opus 5 $0.00026 $0.05358
Sonnet 5 $0.00011 $0.02143
Haiku 4.5 $0.00005 $0.01072

Measured 8d ago against content hash 3067d5474eea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

investorclaw scanned grade A with 1 finding 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 8d ago.

The scan reads SKILL.md. This mod also ships 18 executable files (bridge/frozendict_shim/__init__.py, bridge/investorclaw_bridge/__init__.py, bridge/investorclaw_bridge/bundle_schema.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sS http://127.0.0.1:18090/api/portfolio/initialize/status
skill/SKILL.md · 875 lines

How it starts

The opening of the file, as written. The whole thing — 875 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Authoritative operating contract

These rules govern any agent using this skill. Examples elsewhere in this file are reference only and never override them.

Data integrity — InvestorClaw is the only source of truth

  • Every price, percent, dollar figure, or market fact an agent states MUST come from an InvestorClaw tool result returned in the SAME turn. InvestorClaw returns HMAC-signed envelopes; that signed data is the only source of truth.
  • Never invent, estimate, guess, or use the model's own training knowledge for any number. If a tool did not return it this turn, do not state it — say "InvestorClaw returned no data for that".
  • Tool prose with no concrete numbers = no data; never convert it into a figure.

Current tool surface (underscore namespace)

  • investorclaw__portfolio_market_snapshot(symbols?, benchmarks?) — real-time prices + day-change% for holdings and benchmarks (SPX/NDX/DJI/VIX, BTC/ETH). symbols is a COMMA-SEPARATED STRING (e.g. "NVDA,AAPL"), not a list. No args = holdings + benchmarks. Use this (not portfolio_ask) for any "price of X" and to read the portfolio against the market.
  • investorclaw__portfolio_performance_window(period=...) — return / P&L / movers over a window. period: 1d, 1w, 1mo, 1y, 5y, 10y, 20y, max, or natural phrases ("today", "last week", "last year", "entire history").
  • investorclaw__portfolio_ask(question=...) — analysis / explanation.

Older investorclaw.* dot-namespace examples below are stale; the underscore forms above are the current tool names.

Autonomous / always-on monitoring agents

For unattended agents (scheduled monitors and alerters — e.g. a MarketWatch agent), in addition to the contract above:

  • Drive each run from a tool call first; never answer a market question from memory. A scheduled "poll" means call portfolio_market_snapshot.
  • Threshold scan: call portfolio_market_snapshot, then emit ONE terse line only when a holding or benchmark breaches the configured move (e.g. ±3% a holding, ±10% VIX); otherwise emit a single NO_ALERT token and stop.
  • If the required tool errors or returns no data, emit a fixed marker such as OPS_FAIL market_snapshot unavailable and stop — never fabricate a reassuring number to fill the gap.
  • No clarifying questions in unattended mode; map intent and act.
  • Periodic / EOD reports: pull portfolio_performance_window for the window, then portfolio_market_snapshot for index closes; report numbers verbatim.
  • Always read holdings in the context of the benchmarks in the same snapshot.
  • Delivery is push, terse, numbers-first. Educational, not personalized advice.

Read the full file on GitHub · 875 lines

Files

What ships with it

60 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. 8d ago First seen · 875 lines · 53 tokens per session scan E 3067d5474eea

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 53 tokens to every session and 10,716 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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