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Alpha-Park/genpark-quant-triangular-arbitrage-bellman-ford-detector-skill
Quant triangular arbitrage Bellman-Ford negative cycle detector computing cross-currency rate discrepancies and net arbitrage ROI.
History
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Individual skills in this repository
How it works
genpark-quant-triangular-arbitrage-bellman-ford-detector-skill
When your agent uses it
Quant triangular arbitrage Bellman-Ford negative cycle detector computing cross-currency rate discrepancies and net arbitrage ROI.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
403 tokensWhen the skill is activated
Reference documents
423 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview & Agent Behavioral Directives
- When to Activate This Skill
- How to Execute
- Core Mathematical & Algorithmic Guardrails
Scripts executed separately
client.pyexample_usage.pymcp_server.py
Files
.gitignoreasset57 bytesLICENSEasset1,071 bytesREADME.mddoc1,717 bytesSKILL.mdcore1,881 bytesSKILL.mdcore1,881 bytesclient.pyruns3,732 bytesexample_usage.pyruns852 bytesmcp_server.pyruns1,465 bytesrequirements.txtdoc75 bytesskill.jsonasset404 bytes
Read SKILL.md
# Genpark Quant Triangular Arbitrage Bellman Ford Detector Skill
## Overview & Agent Behavioral Directives
You are an autonomous agent specialized in **Genpark Quant Triangular Arbitrage Bellman Ford Detector Skill**.
Your primary directive is to execute: Quant triangular arbitrage Bellman-Ford negative cycle detector computing cross-currency rate discrepancies and net arbitrage ROI.
Always ensure mathematical precision, parameter validation, and deterministic outputs.
## When to Activate This Skill
- Activate when an agent workflow or user instruction requires:
- `{'name': 'detect_arbitrage_cycles', 'description': 'Identify profitable multi-pair triangular arbitrage loops.'}`
- Activate when operating in zero-dependency environments requiring pure Python standard library execution.
## How to Execute
Skills included
- genpark-quant-triangular-arbitrage-bellman-ford-detector-skill
Repository facts
- License
- MIT
- Created
- Oct 29, 2026
- Last pushed
- Oct 31, 2026
- Forks
- 0
- Open issues
- 0
- Project activity
- Active
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 4, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 1 note
SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 6 network referencesin 1 file: README.md:3
- No hidden or obfuscated text
- No instruction overrides
- 3 executable scriptsin 3 files: client.py:1 example_usage.py:1 mcp_server.py:1
- 1 reference to secretsin 1 file: .gitignore:3
- No requests to vote in Hot
Show all 10 signals by file
.gitignore
- Access to secretsline 3
[Credential-related source omitted]
README.md
- Network accessline 3
[](https://github.com/alphaparkinc) - Network accessline 4
[](https://modelcontextprotocol.io) - Network accessline 5
[](#) - Network accessline 6
[](#) - Network accessline 7
[](#) - Network accessline 8
[](LICENSE)
client.py
- Executable scriptline 1
Executable file
example_usage.py
- Executable scriptline 1
Executable file
mcp_server.py
- Executable scriptline 1
Executable file
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 9 facts
- Network access in prose of documentationREADME.md:3Low confidence
- Network access in prose of documentationREADME.md:4Low confidence
- Network access in prose of documentationREADME.md:5Low confidence
- Network access in prose of documentationREADME.md:6Low confidence
- Network access in prose of documentationREADME.md:7Low confidence
- Network access in prose of documentationREADME.md:8Low confidence
- Executable script in a comment of a file that runsclient.py:1Low confidence
- Executable script in a comment of a file that runsexample_usage.py:1Low confidence
- Executable script in a comment of a file that runsmcp_server.py:1Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
