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    "name": "glycoengineering",
    "summary_en": "Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic antibody optimization, and vaccine design.",
    "summary_zh": "分析和工程化蛋白质糖基化。扫描序列中的N-糖基化序列基序（N-X-S/T），预测O-糖基化热点，并访问精选的糖工程工具（NetOGlyc、GlycoShield、GlycoWorkbench）。适用于糖蛋白工程、治疗性抗体优化和疫苗设计。",
    "description_en": "This Agent Skill provides capabilities for analyzing and engineering protein glycosylation. It includes functions to scan protein sequences for canonical N-glycosylation sequons (N-X-S/T, where X is not Proline), predict O-glycosylation hotspots using a heuristic based on local Ser/Thr density, and mutate sequences to eliminate or introduce glycosylation sites. The skill also references external glycoengineering tools and databases, such as NetOGlyc 4.0, GlycoShield-MD, GlycoWorkbench, GlyConnect, and UniCarbKB, with usage examples. The skill content is derived from a single SKILL.md file (12480 bytes) that was fetched and inspected; no runtime behavior or tool execution was observed.",
    "description_zh": "该Agent技能提供分析和工程化蛋白质糖基化的能力。包括扫描蛋白质序列中的经典N-糖基化序列基序（N-X-S/T，其中X不为脯氨酸）、基于局部Ser/Thr密度的启发式方法预测O-糖基化热点，以及通过突变消除或引入糖基化位点的功能。该技能还引用了外部糖工程工具和数据库，如NetOGlyc 4.0、GlycoShield-MD、GlycoWorkbench、GlyConnect和UniCarbKB，并提供了使用示例。技能内容来源于单个SKILL.md文件（12480字节），该文件已被获取和检查；未观察到运行时行为或工具执行。",
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      "developer-tools"
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      "signals": {
        "yellow": 0,
        "red": 0
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    "review_summary": {
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              "source-inspection"
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      "capability_units": [
        {
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          "open_world": false,
          "idempotency": "idempotent",
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          "input_contract": "natural_language",
          "output_contract": "natural_language",
          "accepts": [
            "protein sequence",
            "task context"
          ],
          "produces": [
            "glycosylation site analysis",
            "mutated sequences",
            "tool references"
          ],
          "runtime_auth": {},
          "pricing": {},
          "evidence_ids": [
            "source-inspection"
          ],
          "metadata": {}
        }
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      "trust": {
        "signal": "none",
        "evidence_ids": [
          "source-record",
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        ],
        "reason": "No suspicious or malicious evidence found."
      },
      "fit": {
        "good_for": [
          "Analyzing protein sequences for N-glycosylation sequons",
          "Predicting O-glycosylation hotspots heuristically",
          "Engineering glycosylation sites via mutation",
          "Guiding users to external glycoengineering tools and databases"
        ],
        "not_for": [
          "Executing external tools directly (e.g., NetOGlyc, GlycoShield) without user interaction",
          "Providing experimentally validated glycosylation predictions",
          "Handling non-protein inputs or tasks outside glycosylation analysis"
        ]
      },
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          "payload": {}
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        "Actual runtime behavior of the skill when invoked by an agent",
        "Whether the skill can successfully call external web services (e.g., NetOGlyc, GlyConnect) from the agent environment",
        "Compatibility with specific agent frameworks or runtimes",
        "The exact input/output schema expected by the skill, as it is described in natural language only",
        "Whether the skill has been tested in real-world use cases"
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}