Browse The Skill Store

💸 LLM Cost Leak Linter

by JustHandled Labs

$12

or 60 cr

Find the code that quietly runs up your LLM bill: uncapped generations, model calls looping with no limit, an expensive model doing a trivial job, and whole files stuffed into prompts. Read-only, every finding explained in plain English.

Teaches AI coding agents to implement production-grade structured logging, error handling, and observability from the first line of code. For developers deploying agent-built services who are tired of debugging black boxes.

Generate accessible, token-ready form components with full validation and interactive states.

Generate accessible, token-aware CSS animations and stateful UI micro-interactions for any frontend.

🛡️ OpenClaw Guardrail Linter

by JustHandled Labs

$12

or 60 cr

Scan your OpenClaw config for the settings that quietly hand your agent too much power: unrestricted exec, open inbound DMs, secrets committed in config, the deny-write bypass, sandbox turned off, dangerous Docker binds, and elevated tools. Read-only, plain-English findings, grounded in the OpenClaw docs.

claude code audit

by SkillBill

$7

or 35 cr

Audits your Claude Code project setup and flags what's broken, misconfigured, or risky. With ready-to-paste fixes.

Prompt Injection Red Team Kit — Find and Fix Injection and Tool Misuse Holes in Your Own Agent

by PubsProToolkit

$14

or 70 cr

Red-team your own AI agent for prompt-injection and tool-misuse vulnerabilities before it ships — then fix them. Maps your attack surface, generates a defensive test plan with the safe behavior expected for each case, and gives a prioritized mitigations list. Defensive use only.

Maestro for Data & BI

by Danish Sethi

$79

or 395 cr

Router + 10 specialists — SQL, metrics, dashboards, experiments — with a no-fabricated-numbers analysis gate.

Cloud Resilience and Dependency Auditor — Find Your Single Points of Failure Before the Next Outage Does

by PubsProToolkit

$14

or 70 cr

Map your real cloud dependency tree — data plane and control plane — find the single points of failure ranked by blast radius, catch the classic traps like monitoring that dies with the region it watches, and get a prioritized resilience backlog. The audit every outage post-mortem says to do first.

Reviews your code for bugs, security vulnerabilities, logic errors, performance issues, and style violations. Organizes findings by severity and suggests fixes with code examples.

Writes clear pull request descriptions by analyzing your branch diff. Covers what changed, why, how, and what to test. Works with GitHub, GitLab, and Bitbucket.

Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.

Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.

Expert Java code auditor for SE 8–24, flagging performance leaks, threading risks, and modernization gaps.

Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.

Transform raw skill documentation into high-conversion, readable marketplace listings without losing LLM context.

Prevent vulnerabilities before they happen by forcing early security framing and secure-by-default design patterns.

Audit and auto-fix agent skills to remove platform lock-in and ensure cross-platform compatibility.

Turn AWS billing mysteries into 10-minute root cause reports by correlating cost spikes with engineering events.

chaos engineering

by Frank Brsrk

Free

Design rigorous chaos engineering experiments and resilience audits to verify production system reliability.

A high-performance scraping engine with Playwright stealth, proxy rotation, and anti-bot bypass capabilities.

Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.

Design and evaluate production-grade observability systems using the 12-layer Full Stack Observatory reference model.

Automated security audit and health check for software dependencies across polyglot projects.