REPOGEO REPORT · LITE
hamelsmu/evals-skills
Default branch main · commit 814ebeae · scanned 6/21/2026, 5:57:17 AM
GitHub: 1,410 stars · 143 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface hamelsmu/evals-skills, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to improve categorization
Why:
COPY-PASTE FIXllm-evaluation, ai-agents, claude-code, llm-skills, evaluation-audits, prompt-engineering, generative-ai, llm-ops
- highreadme#2Reposition README H1 and opening paragraph to clarify its role as an AI agent skillset
Why:
CURRENT# Eval Skills for AI Coding Agents Skills that guide AI coding agents to help you build LLM evaluations.
COPY-PASTE FIX# Eval Skills: A Plugin for AI Coding Agents This repository provides a collection of specialized skills designed as a plugin for AI coding agents (like Claude Code) to systematically build, audit, and improve your LLM evaluation pipelines.
- mediumreadme#3Add a 'Why Evals Skills?' section to differentiate from general LLM eval frameworks
Why:
COPY-PASTE FIX## Why Evals Skills? (vs. LangChain, DeepEval, Ragas, etc.) Evals Skills is not a standalone LLM evaluation framework like LangChain, DeepEval, or Ragas. Instead, it's a specialized plugin that equips AI coding agents with actionable "skills" to *assist* you in auditing, improving, and generating evaluations. It acts as an intelligent co-pilot for your agent, guiding it through common pitfalls and best practices in LLM evaluation, rather than providing the core infrastructure for defining and running tests.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- LangChain · recommended 2×
- DeepEval · recommended 2×
- Ragas · recommended 2×
- Humanloop · recommended 2×
- Arize AI Phoenix · recommended 1×
- CATEGORY QUERYHow can I improve the reliability and robustness of my LLM evaluation pipelines?you: not recommendedAI recommended (in order):
- LangChain
- Arize AI Phoenix
- Weights & Biases W&B Prompts
- DeepEval
- Ragas
- Humanloop
- MLflow
AI recommended 7 alternatives but never named hamelsmu/evals-skills. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools help AI agents build and audit effective large language model evaluations?you: not recommendedAI recommended (in order):
- LangChain
- Ragas
- DeepEval
- Phoenix
- W&B Prompts
- Humanloop
- OpenAI Evals
AI recommended 7 alternatives but never named hamelsmu/evals-skills. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of hamelsmu/evals-skills?passAI did not name hamelsmu/evals-skills — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts hamelsmu/evals-skills in production, what risks or prerequisites should they evaluate first?passAI named hamelsmu/evals-skills explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo hamelsmu/evals-skills solve, and who is the primary audience?passAI named hamelsmu/evals-skills explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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hamelsmu/evals-skills — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite