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 IlyasFardaouix/finclaw --skill finclawgit clone --depth 1 https://github.com/IlyasFardaouix/finclawWrote 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/ilyasfardaouix/finclaw/finclaw)<a href="https://agentmods.dev/skills/ilyasfardaouix/finclaw/finclaw"><img src="https://agentmods.dev/badge/skills/ilyasfardaouix/finclaw/finclaw/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/ilyasfardaouix/finclaw/finclaw"><img src="https://agentmods.dev/badge/skills/ilyasfardaouix/finclaw/finclaw.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 | $0.00061 | $0.00565 |
| Opus 5 | $0.00030 | $0.00282 |
| Sonnet 5 | $0.00012 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
finclaw 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.
What it actually says
finclaw
AI-Powered Financial Intelligence Engine — 8 Master Strategies, 5 Markets, 100+ Tests
When to Use
- Run
finclawcommands - Run or write tests
When NOT to Use
- GUI or web-based workflows where CLI is not available
- Projects using Go or Java (different ecosystem)
Quick Start
Install
pip install finclaw-ai
CLI Commands
finclaw
Key Features
- Trading support
- Quant support
- Finance support
- Agent support
- Test suite included
Key API
get_agentlist_agentsBUILTIN_AGENTSDebateArenaDebateResultDebateStatementDebatePhaseBacktesterBacktestResultcompare_strategies
Project Info
- Language: C, Python, Rust, TypeScript, JavaScript
- License: AGPL-3.0-only
- Tests: Yes
File Structure
├── _scratch/
│ ├── benchmarks/
│ ├── _analysis_v7.py
│ ├── _analyze_ahf.py
│ ├── _compare_hard.py
│ ├── _compare_v7_v8.py
│ ├── _debug_aapl.py
│ ├── _debug_amzn.py
│ ├── _debug_bh.py
│ ├── _debug_btc.py
│ ├── _debug_bull.py
│ ├── _debug_eth_regime.py
│ ├── _debug_eth.py
│ ├── _debug_meta_short.py
│ ├── _debug_new.py
│ ├── _debug_nvda_v5.py
│ ├── _debug_nvda2.py
│ ├── _debug_nvda3.py
│ ├── _debug_nvda4.py
│ ├── _debug_path.py
Generated by repo2skill
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.
- 10d ago First seen · 85 lines · 0 tokens per session scan A 57079e8c9d7e
finclaw is a skill published in the GitHub repository IlyasFardaouix/finclaw (1 stars, last pushed 5mo ago), licensed MIT. It adds 61 tokens to every session and 565 once invoked, about $0.0003 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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