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AI Agent Skill Foundry — Build Production-Ready Skills
Build production-ready AI agent skills from rough ideas through architecture, testing, security review, certification, marketplace positioning, and controlled evolution.
$5
AI Agent Skill Foundry — Build Production-Ready Skills
Example session with this skill installed
I have an idea for a 'Code Reviewer' skill. I want to architect it to focus on security vulnerabilities in Python web apps. Can you run the ARCHITECT and BUILD modes for this?
- Read your context and instructions
- Compiled the ai agent foundry
The 'Code Reviewer' skill has been architected and built. The focus is restricted to identifying OWASP Top 10 vulnerabilities in Python-based web frameworks.
AI Agent Skill: Python Security Sentinel
# Skill: Python Security Sentinel
# Version: 1.0.0
## Primary Job
Perform automated security audits on Python web application code to identify SQL injection, XSS, and broken authentication.
## Expert Mechanism
1. **Taint Analysis**: Trace user input from request objects to database sinks.
2. **Pattern Matching**: Scan for unsafe functions (e.g., `os.system`, `eval`).
3. **Context Evaluation**: Assess if middleware or decorators (e.g., `@login_required`) are correctly applied.
## Operating Workflow
INTAKE (Code Snippet) -> CLASSIFY (Framework: Django/Flask) -> SCAN (Vulnerability Patterns) -> VERIFY (Context Check) -> REPORT (Remediation Steps)
## Security Model
- Treats all input code as untrusted data.
- Never executes the provided code.
- Discloses if a library version is too old for a known CVE check.
## Reliability & Verification
- **Test Case**: Input code with intentional SQLi via string formatting.
- **Expected**: Fail gate if `cursor.execute(f"...")` is found without param binding.
Next steps
- Run BENCHMARK mode to generate a suite of vulnerable and safe code samples.
- Execute SECURITY mode to test the sentinel against prompt injection attempts.
- Move to PRODUCTIZE to generate the final Agensi marketplace description.
Connects securely to your tools. The creator never sees your data.
About this skill
AI Agent Skill Foundry is an expert workflow for turning rough AI agent skill ideas into structured, tested, security-reviewed, marketplace-ready products.
Instead of generating a simple prompt, it guides the complete skill-development lifecycle:
IDEA → DISCOVER → FOCUS → ARCHITECT → BUILD → TEST → SECURE → VERIFY → PRODUCTIZE → CERTIFY → RELEASE → EVOLVE
Use it to design new AI agent skills, audit existing skills, identify weak workflows, create evaluation tests, analyze failure modes, strengthen security boundaries, verify evidence, improve marketplace positioning, and prepare skills for release.
What it does Discover valuable AI agent skill opportunities Turn vague ideas into a focused professional job Design reusable expert workflows Define inputs, outputs, states, decision rules, and quality gates Build production-ready SKILL.md architectures Create benchmarks and evaluation criteria Analyze failure modes and edge cases Perform security and instruction-integrity reviews Apply least-privilege and data-minimization principles Verify evidence and prevent unsupported claims Assess economic value and repeatability Productize skills for marketplace buyers Create release gates and certification criteria Track changes and regression risks Improve existing skills using evidence rather than guesswork Designed for AI agent skill creators AI automation builders Prompt engineers AI consultants AI product builders Claude / Codex / Cursor / Copilot users SKILL.md developers Agent workflow designers AI marketplace sellers Technical creators building reusable AI workflows Use it when you want to Build a new AI agent skill from an idea Turn a prompt into a reusable expert workflow Audit an existing SKILL.md Improve a weak or generic skill Create skill evaluation tests Find failure modes before release Review a skill for security risks Strengthen reliability and consistency Prepare a skill for marketplace submission Improve an existing skill without breaking previous behavior Decide whether a skill is ready for release Core differentiator
Most prompt workflows focus on producing an answer.
AI Agent Skill Foundry focuses on engineering the system that repeatedly produces better answers.
It separates
Intent → Workflow → Mechanism → Testing → Evidence → Security → Product → Release → Evolution
The result is designed to be reusable, testable, explainable, and maintainable rather than being a one-off prompt.
Quality controls
The methodology includes explicit gates for
scope capability selection evidence sufficiency failure analysis security privacy authorization tool necessity regression economic viability marketplace readiness release state
It does not promise guaranteed sales, marketplace approval, rankings, or revenue. Instead, it provides a structured engineering and productization process for improving the underlying skill.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skill Creator Skills.
Does not perform external API writes, live deployment, or account actions. Requires user-provided intent or domain concepts to initiate the lifecycle.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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