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How to harden a customer-facing agent before launch with Awesome Fde Resources

Review an agent for reliability and prompt injection using listed guidance and tools.

Authorization notice. Awesome Fde Resources is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Credentials. Scanning an agent may require access to its tools, MCP servers, or skills, so use test credentials and never production secrets.

Who it is forAn FDE preparing a customer-facing agent for production who must address reliability and security.

The problemAgents can fail, be manipulated through prompt injection, or act outside their intended scope.

The outcomeA launch checklist that marks each principle or finding as pass, fail, or not tested.

What you need first

  • A web browser and GitHub access
  • A target customer workflow or AI system to focus on
  • Setup for each linked tool, which the README does not describe

Steps

  1. Read the 12-factor-agents repo for its reliability principles.
  2. Review the Best practices entries on MCP security and red teaming.
  3. Open NVIDIA-NeMo Guardrails and decide which guardrails apply to the agent.
  4. With the owner's permission, scan the agent, its MCP servers, or its skills with snyk/agent-scan.
  5. Record findings in the launch checklist and list open gaps.

Prompt for your agent

Using the 12-factor-agents and snyk/agent-scan repos listed in global-fde/awesome-fde-resources, review the agent at <agent path or repo>. Produce a checklist where each principle or finding is marked pass, fail, or not tested. Verify that you scanned only targets the owner authorized.

Caveat. The README gives only a one-line description of each scanner, so confirm its coverage in the tool's own documentation.

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Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page