Edge Cases
Checked<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
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What we know about this skill
Publisher
product-on-purpose
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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 product-on-purpose/pm-skills at 1cef1a9eae.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1cef1a9eae
- Scanned
- 6 files, 539 lines
About this skill
What it does
This skill helps identify and analyze edge cases for product development, ensuring comprehensive consideration of unusual or extreme scenarios. It can generate potential user behaviors that deviate from typical usage patterns, revealing vulnerabilities and opportunities for improved design. The tool facilitates proactive problem-solving by simulating unexpected interactions with a product.
When to use it
- During Design Reviews: To proactively surface potential issues before development begins.
- Before Launching New Features: To test the robustness of new functionality under unusual conditions.
- Investigating User Complaints: To generate hypothetical scenarios that might replicate reported problems.
- Competitive Analysis: To explore how competitors handle edge cases and identify areas for differentiation.
Key capabilities
- Generates unexpected user behaviors.
- Simulates extreme usage scenarios.
- Identifies potential vulnerabilities in product design.
- Facilitates proactive problem-solving.
Example prompts
- "Generate five edge case scenarios for a mobile payment app when the network connection is unstable."
- "What are some unusual ways users might try to exploit a file sharing feature?"
- "Simulate a user with limited technical skills attempting to complete a complex task in our software."
Tips & gotchas
The quality of edge cases generated depends on the specificity of the prompt. Providing detailed context about the product and its intended use will yield more relevant results.