performant-ai

performant-ai is a skill for Claude Code, Codex from andreibesleaga/GABBE. It costs 28 tokens per session (830 once invoked), scanned A, original, no licence file.

High-performance AI system development covers context management, prompt design, retrieval-augmented generation (RAG), and inference tuning for AI and language-model systems.

In plain words
What is it for?
It is for designing and tuning AI or LLM systems, including systems that retrieve information from stored documents or vectors.
Why use it?
It helps address slow, costly, inconsistent, or context-limited AI responses.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for designing and tuning AI or LLM systems, including systems that retrieve information from stored documents or vectors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andreibesleaga/gabbe/performant-ai
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add andreibesleaga/GABBE --skill performant-ai
Clone the repo
git clone --depth 1 https://github.com/andreibesleaga/GABBE

Made for: Claude Code, Codex.

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.

agentmods badge for performant-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/andreibesleaga/gabbe/performant-ai/github.svg)](https://agentmods.dev/skills/andreibesleaga/gabbe/performant-ai)
Your own site
<a href="https://agentmods.dev/skills/andreibesleaga/gabbe/performant-ai"><img src="https://agentmods.dev/badge/skills/andreibesleaga/gabbe/performant-ai/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.

agentmods 80×15 button for performant-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/andreibesleaga/gabbe/performant-ai"><img src="https://agentmods.dev/badge/skills/andreibesleaga/gabbe/performant-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 830 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00830
Opus 5 $0.00014 $0.00415
Sonnet 5 $0.00006 $0.00166
Haiku 4.5 $0.00003 $0.00083

Measured 6d ago against content hash eedd71c83a8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

performant-ai 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 6d 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.

agents/skills/coding/performant-ai.skill.md · 63 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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.

  1. 6d ago First seen · 63 lines · 28 tokens per session scan A eedd71c83a8f

Subscribe to this mod's changes

performant-ai is a skill published in the GitHub repository andreibesleaga/GABBE (22 stars, last pushed yesterday), with no licence file. It adds 28 tokens to every session and 830 once invoked, about $0.0001 per session on Opus 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 2026-09-04.

Related

Other skills, from other repositories

building-agents

Use when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server — model-agnostic across OpenAI/Anthropic/Gemini/OSS so a model swap is a config change. NOT vector-store SQL alone (that is postgresdb) or service…

ericrisco/rsc-harness · 85 tokens

software-ai-integration

Applies production AI integration patterns for chat, structured output, guardrails, provider routing, and AI UX. Use when adding LLM-powered features to an application.

vasilyu1983/AI-Agents-public · 38 tokens

oracle

Designing and evaluating AI/ML systems: prompt engineering, RAG design, LLM application patterns, AI safety, evaluation frameworks, MLOps, cost optimization. Use for AI pipelines or eval harnesses.

simota/agent-skills · 45 tokens

graphify

Turn any folder of files (code, docs, papers, images, video) into a queryable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPHREPORT.md. Use when asked to analyze a codebase, understand architecture, map dependencies…

Choeng-Rayu/rayu-cli · 0 tokens

ai-orchestration-langchain

LangChain.js patterns for building LLM applications — chat models, LCEL chains, prompt templates, structured output, agents, tools, RAG, streaming, and LangSmith tracing.

agents-inc/skills · 43 tokens

mistral

Mistral AI provides frontier open and commercial AI models, featuring mistral-large-latest, mistral-small-latest, codestral-latest for coding, and mistral-embed for semantic search.

ashish7802/awesome-api-skills · 0 tokens