Instrument Existing Agent With Prefactor Sdk
CheckedProvides AI agents guidance and assistance for orchestrating AI agents and multi-step workflows.
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 prefactordev/typescript-sdk --skill instrument-existing-agent-with-prefactor-sdk -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
prefactordev
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 prefactordev/typescript-sdk at a36ba5c3d1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- a36ba5c3d1
- Scanned
- 3 files, 252 lines
About this skill
What it does
This skill allows you to instrument an existing AI agent with the Prefactor SDK. It provides a mechanism for integrating Prefactor's observability and control features into your agent’s workflow, enabling detailed tracking of actions and state changes. This integration facilitates debugging, performance optimization, and enhanced governance over agent behavior.
When to use it
- Debugging complex agent workflows: Identify bottlenecks or unexpected behaviors within an existing agent by instrumenting its execution with Prefactor.
- Monitoring agent performance: Track key metrics like action latency and resource consumption for ongoing optimization of your agent's efficiency.
- Implementing governance controls: Gain visibility into the decisions made by an agent to ensure compliance with policies or safety guidelines.
- Integrating with existing infrastructure: Connect your agent’s data streams to Prefactor for centralized monitoring and analysis.
Key capabilities
- Integration with Prefactor SDK
- Observability of agent actions
- Tracking of agent state changes
- Debugging support
Example prompts
- "Instrument this agent with the Prefactor SDK."
- "Add Prefactor tracing to the
process_orderfunction in my agent." - "Connect my existing agent's logs to Prefactor for analysis."
Tips & gotchas
- Requires familiarity with the Prefactor SDK and its installation process.
- Ensure your agent’s codebase is compatible with the Prefactor SDK version being used.