ask-questions-if-underspecified
CheckedClarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Install on your platform
Showing OpenClaw.
- 1
Run this in your terminal
terminal$
What we know about this skill
Publisher
skillcreatorai
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 skillcreatorai/ai-agent-skills at 6d95c788aa.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6d95c788aa
- Scanned
- 1 file, 81 lines
About this skill
What it does
This skill allows an AI agent to proactively seek clarification on ambiguous or underspecified requests before proceeding with a task. Instead of making assumptions or generating potentially incorrect outputs, the agent will ask clarifying questions to ensure complete understanding of the user's intent. This ensures more accurate and relevant results by confirming requirements upfront.
When to use it
- Vague instructions: When a request lacks detail (e.g., "Write a report" without specifying topic or format).
- Open-ended tasks: For assignments that could be interpreted in multiple ways (e.g., “Create a marketing campaign”).
- Complex projects: Before undertaking large, multifaceted projects where misunderstandings can have significant consequences.
- Uncertain requirements: When the user's goals are not immediately clear or require further exploration.
Key capabilities
- Identifies underspecified requests.
- Generates clarifying questions.
- Pauses task execution to solicit additional information.
- Requires explicit invocation by the user.
Example prompts
- "Create a presentation." (The agent should respond with questions like "What is the topic of the presentation?" and "Who is the intended audience?")
- "Write some code for me." (The agent might ask: “What programming language do you need? What functionality should the code provide?”)
- “Design a website.” (The agent could inquire about desired features, target users, and overall aesthetic.)
Tips & gotchas
- This skill is designed to be invoked explicitly. It's not intended for automatic use as it can interrupt workflows unnecessarily.
- Be prepared to answer the clarifying questions thoroughly to ensure the AI agent fully understands your needs.