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Edge Cases

Checked
rohunj·vlatest·cloud

Identifies potential unexpected scenarios & risks within data or processes, proactively mitigating problems and improving robustness.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rohunj/claude-build-workflow --skill edge-cases -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rohunj

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 rohunj/claude-build-workflow at 91f884e2dd.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
91f884e2dd
Manifest
skills/edge-cases/SKILL.md
Scanned
1 file, 163 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps identify and address unusual or unexpected scenarios (edge cases) in a given process or dataset. It focuses on uncovering situations that deviate from typical patterns, potentially revealing errors, inefficiencies, or areas needing further investigation. The skill aims to improve robustness and reliability by proactively handling these less common occurrences.

When to use it

  • Debugging complex workflows: Use this when troubleshooting an automated process where unexpected failures occur sporadically.
  • Data validation & cleaning: Employ it to find outliers or anomalies in datasets that might skew analysis or model training.
  • Testing software applications: Identify edge cases during testing to ensure the application behaves predictably under all conditions.
  • Improving system resilience: Proactively discover and mitigate potential failure points by anticipating unusual inputs or circumstances.

Key capabilities

  • Edge case identification
  • Anomaly detection
  • Workflow debugging
  • Data outlier analysis

Example prompts

  • "Analyze this log file for edge cases related to order processing."
  • "Find any data entries in this customer list that deviate significantly from the average profile."
  • "Identify potential failure points in this automated deployment script."

Tips & gotchas

This skill is most effective when provided with detailed context or a specific area of focus. It may require iterative prompting to refine results and pinpoint relevant edge cases.