OpenAlgo is a self-hosted algorithmic trading platform that lets users design, test, schedule, and execute trading strategies through a common interface for broker integrations. Traders can use its APIs, Python strategy host, and visual flow builder with supported securities and crypto brokers. The catalogue entries provide skills and instructions for working with OpenAlgo.
Borrowing it
Nothing to install: this file belongs to marketcalls/openalgo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/marketcalls/openalgo/main/.claude/skills/chart-indicator/SKILL.mdgit clone --depth 1 https://github.com/marketcalls/openalgoWrote 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/marketcalls/openalgo/chart-indicator)<a href="https://agentmods.dev/skills/marketcalls/openalgo/chart-indicator"><img src="https://agentmods.dev/badge/skills/marketcalls/openalgo/chart-indicator.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 5.1 | $0.00102 | $0.03649 |
| Opus 5 | $0.00051 | $0.01825 |
| Sonnet 5 | $0.00020 | $0.00730 |
| Haiku 4.5 | $0.00010 | $0.00365 |
Grade A, and why
chart-indicator 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
17 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.
- .gitignore 8 B
- coverage.mjs 7.5 KB runs code
- examples/complex_session_vwap.js 8.4 KB runs code
- examples/dashboard_table.js 9.9 KB runs code
- examples/heikin_ashi_candles.js 2.5 KB runs code
- examples/intermediate_keltner_squeeze.js 4.4 KB runs code
- examples/regime_shading.js 5.3 KB runs code
- examples/session_range_modern.js 6.0 KB runs code
- examples/shaded_trend_zone.js 5.0 KB runs code
- examples/simple_zscore.js 1.9 KB runs code
- examples/tier2_external_data.js 5.1 KB runs code
- examples/zones_with_draws.js 5.4 KB runs code
- reference/api.md 12 KB
- reference/contract.md 16 KB
- reference/cookbook.md 12 KB
- reference/pitfalls.md 12 KB
- validate.mjs 34 KB runs code
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 Changed · +32 lines 299335aeb305
- 7d ago First seen · 238 lines · 102 tokens per session scan A d8af1fe52f0d
chart-indicator is a skill published in the GitHub repository marketcalls/openalgo (2,595 stars, last pushed yesterday), licensed AGPL-3.0. It adds 102 tokens to every session and 3,649 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
r3f-performance
R3F performance optimization—LOD (Level of Detail), frustum culling, instancing strategies, draw call reduction, frame budgets, lazy loading, and profiling tools. Use when optimizing render performance, handling large scenes, or debugging frame rate issues.
flask-werkzeug-attack
Exploit Flask/Werkzeug debugger exposure for traceback and SECRET leaks.
finance-summary
Summarize finance notes, risks, and questions without making trading decisions.
form-security
Security patterns for web forms including autocomplete attributes for password managers, CSRF protection, XSS prevention, and input sanitization. Use when implementing authentication forms, payment forms, or any form handling sensitive data.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Implements scientific method for debugging with root cause analysis.
vnpy-export
Export a Vibe-Trading backtest strategy to a runnable vnpy CtaTemplate Python class — supports A-share equities, futures, and crypto via BarGenerator + ArrayManager.