Simple Greeting
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Please follow https://skillhub.cn/install/skillhub.md and install @user_7bc7d8e4/my-first-greeting-skill.
About this skill
Problem It Solves
When first wiring an external skill into a large-model agent, the hard part is often not model quality but parameter passing, call tracing, and response shape. Simple Greeting Skill uses a tiny case to expose those issues: it accepts one string argument name and returns a fixed greeting, hello + name. It is useful as a minimal runnable example or placeholder skill to verify that the agent framework can read SKILL.md, invoke the tool, and parse the result correctly.
How It Works
The behavior is intentionally direct:
- Input:
name(string) - Output:
helloconcatenated with the providedname - Fit: deterministic short-text responses rather than open-ended generation
Callers do not need extra context or state. The model or runtime only needs to place the user-provided name into the parameter and continue with the resulting string. For debugging, this simple output is easier to assert than natural-language answers and quickly confirms that skill name, parameter name, and return type are consistent.
Boundaries and Notes
This is not a personalized greeting service and will not adapt wording by language, timezone, or relationship. If name is empty, overly long, or sensitive, the materials do not define additional handling rules, so production integrations should sanitize and fallback at the business layer. If used in a real product, treat it as a minimal skeleton and extend language, templates, error messages, and permission controls.
Use Cases
- Verify agent tool parameter passing with a deterministic hello plus name response.
- Assert a stable string output when writing tests for a minimal tool call.
- Demonstrate how the name input becomes the hello name return value in a live example.
- Check that the name parameter and output format match the SKILL.md contract.
Best For
- Engineers wiring hand-written skills, needing a stable name input to fixed string output.
- QA engineers writing integration tests, needing an assertable minimal tool output.
- Instructors building agent examples, needing the shortest SKILL.md-to-tool-return path.
- Skill marketplace reviewers, needing to check input, output, and docs alignment.
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