Evaluating Heuristics
CheckedThis skill assesses if proposed heuristics align with best practices and desired outcomes, improving decision-making accuracy.
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 foundation-for-puerto-rico/fpr-marketplace --skill evaluating-heuristics -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
fulanoxpr
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 fulanoxpr/fpr-marketplace at db4bf57c92.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- db4bf57c92
- Scanned
- 3 files, 407 lines
About this skill
What it does
This skill allows an AI agent to evaluate the effectiveness of heuristics. It can analyze a set of rules or guidelines and determine how well they achieve a specific goal, providing insights into their strengths and weaknesses. The skill assesses heuristic performance based on predefined criteria and offers suggestions for improvement. Ultimately, this helps refine decision-making processes within the agent.
When to use it
- Optimizing Search Algorithms: Evaluate heuristics used in pathfinding or search problems to improve efficiency.
- Refining Rule-Based Systems: Assess the effectiveness of rules governing an AI's behavior and identify areas for adjustment.
- Improving Decision-Making: Analyze heuristics guiding choices made by the agent, leading to more optimal outcomes.
- Debugging Agent Behavior: Pinpoint why an agent is making suboptimal decisions by evaluating the underlying heuristics.
Key capabilities
- Heuristic performance assessment
- Identification of heuristic strengths and weaknesses
- Suggestion generation for heuristic improvement
- Analysis based on predefined criteria
Example prompts
- "Evaluate the following heuristic for sorting files: 'Prioritize files modified recently.'"
- "Analyze this set of rules for prioritizing customer support tickets and suggest improvements."
- "How effective is the heuristic 'Always choose the option with the fewest steps' in a maze-solving scenario?"
Tips & gotchas
The quality of the evaluation depends on clearly defined criteria. Providing specific goals or desired outcomes will improve the accuracy and usefulness of the skill’s analysis.