DanielGouveiah/glasses

Put your glasses on. Evidence-first planning and bounded implementation diagnosis for AI coding agents.

9Stars on the repository
11Mods indexed here, across every type
14d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

homework

01

DanielGouveiah/glasses

Skill Claude CodeCodex

Researches external technical evidence for a decision using source-quality assessment, claim-level citations, contradiction checks, evidence-sufficiency gates, and bounded validation. Use when the user invokes /glasses:homework, asks Homework to research a technical choice, requests deep or thesis-grade technical…

not rated 9 14d ago A 90 tokens original MIT

glasses

02

DanielGouveiah/glasses

Skill Claude CodeCodex

Part of glasses

Challenges implementation plans before code exists, then keeps implementation inside the evidence-backed plan while preserving mandatory quality. Use automatically when planning or implementing a coding task, ADR, technical design, service boundary, data model, dependency strategy, or architecture; use manually when…

not rated 9 14d ago A 72 tokens original MIT

pointer

03

DanielGouveiah/glasses

Skill Claude CodeCodex

Part of glasses

Runs a bounded evidence conversation over an existing implementation, asks one decision-changing question at a time, presents correction options, and applies the accepted correction plan once. Use when the user invokes /glasses:pointer, asks Pointer to inspect or correct an implementation, or wants a focused diagnosis…

not rated 9 14d ago A 62 tokens original MIT

scribe

04

DanielGouveiah/glasses

Skill Claude CodeCodex

Part of glasses

Captures approved session notes, project documentation, handoffs, ADRs, and visible project memory from conversations or repository inspection. Use when the user invokes /glasses:scribe, asks to take notes, document decisions, create or update project notes, map a project into docs, preserve context, write a handoff…

not rated 9 14d ago A 82 tokens original MIT

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