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devinat1

Skillify

by devinat1
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TypeScript
Remote

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v0.1.1

  • Disambiguation5/5

    With only one tool, there is no possibility of overlap or confusion between tool purposes. An agent cannot mis-select because the entire server exposes exactly one operation.

    Naming Consistency5/5

    There is no pattern conflict with a single tool. 'skillify' is a clear, action-oriented name that accurately signals the server's sole function, so consistency is effectively perfect.

    Tool Count3/5

    One tool is a borderline count and gives the agent no supporting operations such as validation, listing generated skills, or configuration. However, the server appears intentionally scoped to a single conversion action, so it is not an extreme mismatch.

    Completeness5/5

    Within the stated domain of turning a public website into a portable skill, the single tool covers the complete workflow end-to-end. There are no obvious missing operations implied by the server's purpose.

  • Average 3.8/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 2 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the transformation outcome and does not disclose network fetching behavior, where the skill is written, whether existing files are overwritten, or any rate/auth limitations. This is a meaningful gap for a tool operating on external URLs.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single focused sentence with no filler. It communicates the operation, the input type, and the output format in minimal space.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a single-parameter tool with a complete schema and an output schema present, the description is largely sufficient for an agent to invoke it correctly. The only notable gap is the lack of operational side-effect disclosure, but the low complexity keeps the overall completeness high.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, with the URL parameter already described as a 'Public HTTP(S) website URL to turn into a portable skill.' The tool description reinforces the purpose but does not add meaningful detail beyond the schema, so the baseline of 3 is appropriate.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description names a specific action ('Turn') with a clear resource ('a public website') and a concrete outcome ('one portable Codex and Claude Code skill'). It is immediately obvious what the tool does and it does not rely on the tool name to carry meaning.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description establishes the appropriate use case: converting a public website into a portable skill. Since there are no sibling tools and the scope is tightly defined, explicit alternatives and exclusions are less necessary. The 'public' qualifier also implicitly excludes private/internal URLs.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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