Browse The Skill Store

Deployment Failure Forensics

$9.99

or 50 cr

Professional DevOps diagnostics for AI agents to solve failed deployments, Docker crashes, and CI/CD pipeline errors.

agent tool governance

$10

or 50 cr

A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.

Architect durable multi-agent Kanban boards with structured handoffs and role-based task decomposition.

Optimization Loop

$19

or 95 cr

Autonomous loop that iteratively modifies, evaluates, and selects the best version of any text resource — skills, prompts, or campaigns — using a modify-measure-keep/discard cycle.

Evidence Grading Framework — Rank Source Quality Before Your Agent Writes

$18

or 90 cr

A reusable rubric that grades every source by type, recency, authority, independence, and corroboration, then ranks them and resolves conflicts by evidence weight.

🤖 AGENTS.md Linter

$12

or 60 cr

Lint your AGENTS.md (or CLAUDE.md and .cursorrules) for the problems that make a coding agent misbehave. Flags contradictory rules, references to files and commands that no longer exist, overly broad or unsafe instructions, missing sections (build, test, run, conventions), duplicate rules, and the case where you have competing rule files that should be consolidated into one AGENTS.md.

AGENTS.md & Agent Config Quality Gate — Catch Ambiguous Rules, Conflicts & Missing Guardrails Before You Ship

$12

or 60 cr

An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.

🤖 AI Agent Auditor

$7

or 35 cr

Analyzes AI agents for performance, reliability, security, and optimization opportunities.

🛡️ Skill Injection Scanner

$15

or 75 cr

Scan a SKILL.md package for prompt injection and secret exfiltration before you install or publish an agent skill. Flags env-variable-to-URL exfiltration wording, conditional triggers with hidden side effects, imperative instructions buried in HTML comments, zero-width characters, base64 and long-token blobs, remote content treated as instructions, pipe-to-shell and recursive force-delete references, and overbroad tool requests (network plus browser plus file-write with no scope).

✅ AI Code Verification Gate

$19

or 95 cr

One-line summary description Stop your agent from claiming "done" before it's proven. A verification gate that classifies each change by risk (payment, auth, database, user-facing), picks the tests that actually cover it, demands evidence, maps regression risk, and outputs an honest pass/fail report. Turns "looks good to me" into "here's what I ran, and here's what's still unverified."

Deploy a structured, long-term memory palace for AI agents on Raspberry Pi via MCP and ChromaDB.

Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.

🗺️ Change Impact Mapper

$13

or 65 cr

Map the blast radius of a code change before you run the whole suite. For the files and functions you changed, it lists what imports or calls them, which tests cover them, flags any change with no covering test, and warns when a file has a lot of dependents. It tells an agent what its edit might break instead of making it guess. Resolves Python and JavaScript/TypeScript.

Coding Agent Quality Gate — Catch AI Written Security Bugs & Logic Errors Before Deploy

$24

or 120 cr

An adversarial senior engineer review gate that audits AI-written code for security gaps and logic errors before shipping.

Canonical Next.js bridge for secure, real-time communication between browser UIs and local agent gateways.

Agent Loop Autoresearch Optimizer

$5

or 25 cr

An iterative agent loop that optimizes any prompt, config, or artifact by making one change at a time, scoring it against a metric, and keeping only the winners.

Generate a production-ready 3D virtual office for AI agents using Next.js and React Three Fiber.

Agent Failure Recovery Protocol — Stop Infinite Loops & Escalate Broken Runs Safely

$18

or 90 cr

A structured recovery framework to stop agent loops, handle malformed output, and manage autonomous error escalation.

🧰 Tool Schema Linter

$12

or 60 cr

Lint the function-calling tool definitions your agent exposes. Flags tools with no description, parameters missing a description or a type, overlapping or near-duplicate tools, too many tools for reliable selection, an unsafe tool exposed without a guard, required parameters missing from the schema, and free-form parameters that should be bounded with an enum. Cleaner tool schemas mean an agent that picks the right tool.

🛡️ MCP Server Starter & Safety Kit

$29

or 145 cr

Scaffold and audit secure MCP servers with input schemas, confirmation gates, and safety-first tool definitions.

Ulti Next.js Agent

$7

or 35 cr

Build high-speed, full-stack React apps with Next.js 14+ App Router, Server Components, and Server Actions.

quality engineer

$5/mo

A risk-first QA agent that hunts bugs via personas, extracts BDD requirements, and drives TDD fixes.

WordPress Accessibility Auditor

$13.99

or 70 cr

A structured WCAG 2.1 AA audit and fix agent for WordPress themes, organized by block theme, Gutenberg, forms, and navigation context, with scored findings and complete before-to-after code patches.

Token Budget Officer — Cap AI Token Spend & Downshift Expensive Runs Automatically

$19

or 95 cr

Cost-aware execution planning for AI agents — estimate cost-vs-value before expensive steps, propose cheaper paths (cache, summarize once, downshift models), and track spend against a session budget with a PROCEED / OPTIMIZE / DEFER verdict.