Llm Fallback Chains
CheckedProvides LLMs guidance and assistance for building AI and machine learning applications.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add latestaiagents/agent-skills --skill llm-fallback-chains -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
latestaiagents
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned latestaiagents/agent-skills at 6120c5539d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6120c5539d
- Scanned
- 1 file, 420 lines
About this skill
What it does
The llm-fallback-chains skill provides a mechanism for AI agents to gracefully handle situations where the primary Large Language Model (LLM) fails or is unavailable. It allows an agent to automatically switch to a secondary, pre-configured LLM when errors occur during task execution, ensuring continued operation and minimizing disruption. This improves robustness and reliability in complex agent workflows.
When to use it
- Critical tasks: Use this skill for tasks where failure isn't an option, such as financial transactions or medical diagnoses.
- Unreliable LLMs: Employ the fallback when dealing with LLMs that have known instability issues or rate limits.
- Complex workflows: Integrate it into multi-step agent processes to prevent a single LLM error from halting the entire workflow.
- Resource constraints: Utilize this skill when primary LLM resources are limited and a secondary option is available for less demanding tasks.
Key capabilities
- Automatic fallback to a secondary LLM on failure.
- Pre-configured secondary LLM selection.
- Error handling during LLM execution.
- Seamless transition between LLMs.
Example prompts
- "Agent, please summarize this document and if you encounter an error, use the backup model."
- “Run this complex query using the primary LLM; if it fails, switch to the secondary.”
- "Execute these instructions, ensuring a fallback is available in case of any issues with the main LLM."
Tips & gotchas
- Ensure the secondary LLM has sufficient capabilities for the tasks it might handle. A less capable fallback may produce lower-quality results.