A set of automatic instructions for questions about AI bias, fairness, demographic groups, or fairness measures. It directs the agent to tools for scanning, analyzing, measuring, mitigating, and checking regulatory concerns.

Use it to run bias scans, analyze protected groups, calculate fairness measures, get mitigation recommendations, and map findings to EU AI Act, GDPR, or New York requirements.

It ensures these questions use the relevant bias-analysis tools without requiring you to select each one yourself.

How CSOAI-ORG/bias-detection-mcp configures Cursor

Reuse

Borrowing it

Nothing to install: this file belongs to CSOAI-ORG/bias-detection-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/CSOAI-ORG/bias-detection-mcp/main/.cursorrules

Clone the repo

git clone --depth 1 https://github.com/CSOAI-ORG/bias-detection-mcp

Made for: Cursor.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/rules/csoai-org/bias-detection-mcp/cursorrules/github.svg)](https://agentmods.dev/rules/csoai-org/bias-detection-mcp/cursorrules)

Your own site

<a href="https://agentmods.dev/rules/csoai-org/bias-detection-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/bias-detection-mcp/cursorrules/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.

Your own site · 80×15

<a href="https://agentmods.dev/rules/csoai-org/bias-detection-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/bias-detection-mcp/cursorrules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 172 This file is loaded in full into every session.

When invoked 172 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00172	$0.00172
Opus 5.5	$0.00069	$0.00069
Sonnet 5.5	$0.00034	$0.00034
Haiku 4.5	$0.00017	$0.00017

Measured 2mo ago against content hash 4948c01dd5cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cursorrules 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 2mo 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.

.cursorrules · 14 lines

What it actually says

Bias Detection MCP - Auto-trigger Rules

When the user asks about AI bias, fairness assessment, demographic parity, disparate impact, protected attributes, or model fairness metrics, use bias-detection-mcp tools:

quick_scan: Instant bias risk assessment (one sentence)
detect_bias: Full bias analysis across protected classes
fairness_metrics: Compute demographic parity, equal opportunity, predictive parity
mitigation_recommendations: Action plan to reduce identified bias
regulatory_check: Map findings to EU AI Act Article 10, GDPR Article 22, NYC Local Law 144

Install: pip install bias-detection-mcp

Bias detection is mandatory for high-risk AI systems under EU AI Act Article 10 (data governance) and Article 15 (accuracy/robustness).

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.

2mo ago First seen · 14 lines · 172 tokens per session scan A 4948c01dd5cb

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/bias-detection-mcp (0 stars, last pushed 29d ago), licensed MIT. It adds 172 tokens to every session, about $0.0007 per session on Opus 5.5. 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.

Analytics and metrics Data and AI ai ai-governance bias-detection compliance mcp model-context-protocol

cursorrules next to 6 cursor rules from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
cursorrulesCSOAI-ORG/bias-detection-mcp	Cursor rule	0	29d ago	MIT	A	172	Cursor
csoai-reviewCSOAI-ORG/councilof-ai	Cursor rule	4	today	MIT	A	517	Cursor
ai-gateway-smoke-mandatoryAlphaBitCore/nexus-gateway	Cursor rule	25	1mo ago	Apache-2.0	A	0	Cursor
ai-safe2-sovereignCyberStrategyInstitute/ai-safe2-framework	Cursor rule	156	3d ago	none	A	347	Cursor
ponytailDietrichGebert/ponytail	Cursor rule	185k	8d ago	MIT	A	604	Cursor
angular-20angular/angular	Cursor rule	101k	yesterday	MIT	A	0	Cursor
dev-standardapache/superset	Cursor rule	75k	today	Apache-2.0	A	1,147	Cursor

bias-detection-mcp: Cursor rule for Cursor