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 openclawgit 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/openclaw)<a href="https://agentmods.dev/skills/argonautsystems/investorclaw/openclaw"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/openclaw/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/openclaw"><img src="https://agentmods.dev/badge/skills/argonautsystems/investorclaw/openclaw.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 | $0.02305 |
| Opus 5 | $0.00023 | $0.01153 |
| Sonnet 5 | $0.00009 | $0.00461 |
| Haiku 4.5 | $0.00005 | $0.00231 |
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 9d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
InvestorClaw — Skill (openclaw runtime)
Powered by InvestorClaw (Apache 2.0). This skill file is MIT-0-licensed; the underlying service is Apache 2.0.
What this is
InvestorClaw is a containerized portfolio-analysis service exposed to openclaw as two MCP-HTTP servers:
investorclaw— portfolio analysis tools athttp://localhost:18090/mcpmnemos— memory + knowledge graph athttp://localhost:5002/mcp
Both run inside a Docker compose stack on the user's machine
(docker compose up -d is the entire service install). openclaw connects
to them as native MCP servers via its mcp.servers config block —
no plugin manifest, no dist/index.js, no npm install, no skill
bootstrap files.
If openclaw runs in a container itself, the two MCP URLs reach the host's
loopback through the compose bridge network or host.docker.internal,
depending on how the openclaw container is launched. See INSTALL.md.
Tool surface
When the service is running, openclaw's tool catalog gains:
Portfolio analysis (investorclaw.*)
investorclaw.portfolio_ask— natural-language portfolio question routed through the deterministic engineinvestorclaw.portfolio_holdings— current snapshot of positions, values, weightsinvestorclaw.portfolio_performance— Sharpe, volatility, top/bottom performers, max drawdowninvestorclaw.portfolio_bonds— bond analytics (YTM, duration, FRED yield curve)investorclaw.portfolio_analyst— analyst ratings per holdinginvestorclaw.portfolio_news— news correlation for held positionsinvestorclaw.portfolio_lookup— ticker / account lookupinvestorclaw.portfolio_optimize— Sharpe / min-vol optimizationinvestorclaw.portfolio_rebalance— current vs target with tax impactinvestorclaw.portfolio_scenario— what-if scenarios on holdingsinvestorclaw.portfolio_cashflow— projected cashflow from bondsinvestorclaw.portfolio_peer— peer comparison vs benchmarkinvestorclaw.portfolio_setup— auto-discover portfolio files in/data/portfolios/investorclaw.portfolio_refresh— refresh market data without re-uploading filesinvestorclaw.portfolio_guardrails— view 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.
- 9d ago First seen · 215 lines · 47 tokens per session scan A 8603ab3d073d
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 2,305 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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