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Write production-quality Python automated trading strategies for the Indian stock market. Covers the full lifecycle: backtesting, optimization, paper trading, and live deployment across equity, F&O, currency derivatives, and MCX commodities. Bakes in best practices for risk management, position sizing, order handling, and Indian market-specific rules. Rupeezy/Vortex is the primary broker with a template for community broker adapters. MANDATORY TRIGGERS: Use this skill whenever the user mentions algo trading, automated trading, trading bot, trading strategy, backtest, backtesting, strategy code, quant strategy, systematic trading, or any task involving writing Python code to trade on Indian stock exchanges (NSE, BSE, MCX). Also trigger when the user mentions Rupeezy, Vortex API, vortex-api, or asks about F&O strategy automation, options selling bot, intraday strategy, or positional strategy. Even if the user just says "write a strategy" or "help me automate my trading" — use this skill.
Claude Skills are markdown + scripts loaded into Claude Code; scanned with the same pipeline.
We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.
4 critical findings reported by agent-audit-kit. The composite score alone does not reflect this — read the per-scanner reports below.
This artifact ships from 2 sources and their verdicts differ. The worst is github (Flagged). Installing from a cleaner source does not mean the others are safe — check the source you actually install from.
github: https://github.com/rupeezytech/algo_ai_skill, 26 findings
Claude Skills install to a single target, no runtime picker.
nerlo install -- 'rupeezytech/algo_ai_skill (indian-algo-trading)'
Manual alternative: copy the skill folder into ~/.claude/skills/ so Claude Code loads it on next launch.
cp -r -- 'rupeezytech/algo_ai_skill (indian-algo-trading)' ~/.claude/skills/
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
5 of 11 scanners examined this package. The rest do not apply to it — language, ecosystem and packaging decide which analyzers can say anything, and a scanner that cannot examine an artifact reports nothing rather than passing it.
v2.0.11
10 findings · 13.9s
v0.3.74
11 findings · 3.4s
v0.1.0
0 findings · 6.1s
v0.1.0
0 findings · 6.1s
v0.1.0
0 findings · 9.8s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.3s
vv0.3.2
No Go packages were found in this artifact. What each scanner covers
0 findings · 0.2s
No report in this scan: govulncheck, osv-scanner, trivy, trivy_image.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 18, 2026 | Scan Halted | — | agentshield ·n/a: not applicablecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicablenerlo-multi-source: complete | rejected |
Findings in files this artifact installs stand as reported; a model re-read the rest and said which ones it believes are false positives. This is a second opinion published beside the evidence, not a correction to it: the per-scanner reports above are unchanged, every dismissed finding is still listed there at its original severity, and the score and the Flagged badge are computed from those raw severities alone. Nothing below moved them.
This review has not run for this scan yet. It runs once per scan, in the background, and is kept; it appears here when it has. Until then all 21 findings above stand exactly as their scanners reported them, at full severity.