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 agentmods add commands/argonautsystems/investorclaw/refreshgit 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/commands/argonautsystems/investorclaw/refresh)<a href="https://agentmods.dev/commands/argonautsystems/investorclaw/refresh"><img src="https://agentmods.dev/badge/commands/argonautsystems/investorclaw/refresh.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00389 |
| Opus 5 | $0.00015 | $0.00195 |
| Sonnet 5 | $0.00006 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
refresh scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Force InvestorClaw to rebuild the deterministic portfolio pipeline against the
prebuilt ic-engine container, bypassing cached envelopes. Same container as
/investorclaw:ask; provider keys come from the mounted keys.env.
Execute:
IC_HOME="${IC_HOME:-$HOME/.investorclaw}"
IC_IMAGE="${IC_ENGINE_IMAGE:-ghcr.io/argonautsystems/ic-engine:4.7.7-cpu}"
mkdir -p "$IC_HOME/data/portfolios" "$IC_HOME/data/reports"
[ -f "$IC_HOME/data/keys.env" ] || touch "$IC_HOME/data/keys.env"
if ! docker image inspect "$IC_IMAGE" >/dev/null 2>&1; then
echo "📦 First run — pulling $IC_IMAGE (public, no auth, no build)..."
docker pull "$IC_IMAGE" || { echo "❌ Could not pull the ic-engine image. Is Docker running?"; exit 1; }
fi
docker run --rm \
--env-file "$IC_HOME/data/keys.env" \
-e INVESTORCLAW_PORTFOLIO_DIR=/data/portfolios \
-e IC_PORTFOLIO_DIR=/data/portfolios \
-v "$IC_HOME/data:/data" \
--entrypoint /opt/ic-engine/.venv/bin/investorclaw \
"$IC_IMAGE" run --refresh
Presentation:
- Report what was refreshed (prices, news, benchmarks) and the new freshness timestamps.
- Then suggest the user re-ask their question, now against fresh data.
See ../DISCLAIMER.md
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.
- 4d ago First seen · 37 lines · 29 tokens per session scan A c0ba39bd0258
refresh is a command published in the GitHub repository argonautsystems/InvestorClaw (9 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 389 once invoked, about $0.0001 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.
Other commands, from other repositories
cost-report
Show API cost breakdown for the current month's production.
brainstorm
Enhanced brainstorming with smart detection, design modes, time budgets, context-aware questions, and spec capture.
payments
Шаг 11 — подключить приём платежей через Polar (продукт, кнопка, webhook, portal, prod).
ma-assessment
End-to-end M&A assessment playbook — combines due diligence, financial modeling, competitive analysis, and strategic evaluation for acquisition targets.
turnaround-playbook
End-to-end turnaround playbook — diagnoses performance issues, identifies cost savings, designs operational improvements, and builds an implementation plan.
advise
Map the regulatory perimeter for a transaction or business activity.