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RiskModels_API AGENTS.md

Repository instructions for the BlueWaterCorp RiskModels_API project, which provides financial factor analysis and hedge ratios for US equities.

In plain words
What is it for?
Use them when working on the project’s Next.js portal, command-line tools, API schemas, OpenAPI specification, MCP server, or shared agent workflows.
Why use it?
They give coding agents the project’s technical context, conventions, API details, and workflow guidance before they change or operate the code.

Instructions file for CodexOpenCode

0 2d ago A scan 1,317 tokens original Apache-2.0
View the source file BlueWaterCorp/RiskModels_API
Install

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.

agentmods
npx agentmods add instructions/bluewatercorp/riskmodels_api/agents-md
Clone the repo
git clone --depth 1 https://github.com/BlueWaterCorp/RiskModels_API

Made for: Codex, OpenCode.

Per session 1,317 This file is loaded in full into every session.
When invoked 1,317 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01317 $0.01317
Opus 5 $0.00659 $0.00659
Sonnet 5 $0.00263 $0.00263
Haiku 4.5 $0.00132 $0.00132

Measured yesterday against content hash ee7bf8033ef9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

RiskModels_API AGENTS.md 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 yesterday.

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.

AGENTS.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RiskModels Agent Instructions

ROLE: Financial Data Analyst & Risk Management Agent SCOPE: Quantitative analysis of US equity factors and hedge ratios.

The RiskModels API returns factor decompositions and hedge ratios for ~3,000 US equities, with history dating back to 2006.

Technical Details

  • API Base URL: https://riskmodels.app
  • OpenAPI Spec: OPENAPI_SPEC.yaml
  • Analysis Object Model (AOM): aom/ — canonical reasoning vocabulary for SDK/agents (aom/AOM_SPEC.md, aom/AOM_TYPES.ts); compiler mapping to HTTP routes in aom/AOM_MIGRATION.md.
  • MCP Server: mcp/ — hosted at https://riskmodels.app/api/mcp/sse (Streamable HTTP). Deterministic install: RISKMODELS_API_KEY=… npx -y riskmodels@latest install (needs Node.js LTS; pin @latest so npx does not resolve a stale package). See Quickstart. Claude Code (claude CLI) needs a separate claude mcp add step — see mcp/README.md. For local dev / air-gapped use: riskmodels mcp (stdio) or riskmodels mcp-config for a ready-to-paste mcpServers block. Do not use npx … mcp. See mcp/README.md for client config.
  • Agent discovery: Machine-readable install summary is served at https://riskmodels.app/llms.txt (built from lib/llms-txt.ts, optional public sample key via env LLMS_TXT_PUBLIC_AGENT_KEY).
  • Python SDK (source): sdk/ — riskmodels-py on PyPI
  • Web / Next.js primitives: packages/riskmodels-web — npm workspace @riskmodels/web (React + Recharts + types for landing charts and the metrics playground). See packages/riskmodels-web/README.md.
  • Skill Guide: SKILL.md
  • Authentication: OAuth2 client credentials flow
  • Get API Key: riskmodels.app/get-key — OAuth/magic-link; key copy UX is post-login under Account → Usage.

Read the full file on GitHub · 52 lines

Changes

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.

  1. yesterday First seen · 52 lines · 1,317 tokens per session scan A ee7bf8033ef9

Subscribe to this mod's changes

RiskModels_API AGENTS.md is an instructions file published in the GitHub repository BlueWaterCorp/RiskModels_API (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,317 tokens to every session, about $0.0066 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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