How does pre-response validation work?

The skill runs a validation checklist on every output before it is finalized, checking for banned voices, incorrect tool usage, and violations of style rules.

Does this work with other agents like Cursor or Codex?

Yes, through its integration with Ruler, the constraints defined in this skill are propagated to other agent configurations including Cursor, Codex, and Amp.

Can I add custom rules to the validator?

Yes, you can update the Frustration Index with new patterns, evidence, and persistence scores to tailor the validation logic to your specific workflow.

What is the Frustration Index?

The Frustration Index is a ranked list of AI behavioral patterns that historically fail to persist across sessions. This skill monitors these patterns to ensure your preferences stick forever.

Frustration Eradication

Name: Frustration Eradication
Author: plurigrid

byplurigrid

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Productivity & Workflow

Enforces persistent user preferences and prevents repetitive AI behavioral regressions through a pre-response validation framework.

About

The Frustration Eradication skill acts as a persistent memory and validation layer for Claude Code, ensuring that specific user preferences remain enforced across all sessions. By implementing a 'Frustration Index,' it automatically checks every AI response against a set of ranked constraints—such as specific voice bans, tool mandates like Exa for semantic search, and strict verbosity limits. This skill effectively eliminates 'context drift' by validating responses before they are output, saving developers from the repetitive task of correcting the AI's behavior.

Key Features

Strict control over response verbosity, preambles, and code comments
Automatic propagation of rules across multiple agent configurations via Ruler
GF(3) conservation checks for mathematical and compositional coherence
2 GitHub stars
Pre-response validation checklist to catch behavioral regressions
Enforcement of tool-specific mandates like Exa over generic web search

Use Cases

Ensuring the AI never uses banned voices or prohibited phrases in voice-enabled workflows
Mandating parallel subagent execution for complex tasks to maximize performance
Maintaining strict code style preferences like 'no comments' or 'no as-any' without manual reminders

About

Key Features

Strict control over response verbosity, preambles, and code comments
Automatic propagation of rules across multiple agent configurations via Ruler
GF(3) conservation checks for mathematical and compositional coherence
2 GitHub stars
Pre-response validation checklist to catch behavioral regressions
Enforcement of tool-specific mandates like Exa over generic web search

Use Cases

Ensuring the AI never uses banned voices or prohibited phrases in voice-enabled workflows
Mandating parallel subagent execution for complex tasks to maximize performance
Maintaining strict code style preferences like 'no comments' or 'no as-any' without manual reminders