sentry-policy-guardrails
Implement governance and policy guardrails for Sentry. Use when enforcing organizational standards, compliance rules, or standardizing Sentry usage across teams. Trigger with phrases like "sentry governance", "sentry standards", "sentry policy", "enforce sentry configuration".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: sentry-policy-guardrails description: | Implement governance and policy guardrails for Sentry. Use when enforcing organizational standards, compliance rules, or standardizing Sentry usage across teams. Trigger with phrases like "sentry governance", "sentry standards", "sentry policy", "enforce sentry configuration". allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Sentry Policy Guardrails
Prerequisites
- Organization-wide standards documented
- Team structure defined
- Compliance requirements identified
- Shared configuration package repository
Instructions
- Create shared Sentry configuration package with organization defaults
- Define enforced settings that cannot be overridden (sendDefaultPii, sample rates)
- Implement mandatory PII scrubbing in beforeSend hook
- Add environment enforcement to block test data in production
- Create standard alert policy templates with required rules
- Implement project naming validation following team-service-environment pattern
- Build configuration audit script to check compliance across projects
- Set up compliance dashboard with metrics reporting
- Document policy requirements and share with all teams
- Enforce shared config package usage in CI/CD pipelines
Output
- Shared Sentry configuration package
- Enforced organization defaults
- Alert policy templates
- Project naming validation
- Compliance audit reports
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.