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 zeroclawgit 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/zeroclaw)<a href="https://agentmods.dev/skills/argonautsystems/investorclaw/zeroclaw"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/zeroclaw/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/zeroclaw"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/zeroclaw.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 | $0.00047 | $0.03482 |
| Opus 5 | $0.00023 | $0.01741 |
| Sonnet 5 | $0.00009 | $0.00696 |
| Haiku 4.5 | $0.00005 | $0.00348 |
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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
symlinks, no curl-pipe-shell patterns, no remote markdown links. How it starts
The opening of the file, as written. The whole thing — 314 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).symbolsis 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 singleNO_ALERTtoken and stop. - If the required tool errors or returns no data, emit a fixed marker such as
OPS_FAIL market_snapshot unavailableand 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_windowfor the window, thenportfolio_market_snapshotfor 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.
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.
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 · 314 lines · 47 tokens per session scan A 71cb60deb26c
investorclaw is a skill published in the GitHub repository argonautsystems/InvestorClaw (9 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 47 tokens to every session and 3,482 once invoked, about $0.0002 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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