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get_skill

Retrieves the complete SKILL.md content for a given cybersecurity skill slug, enabling the client to load the skill as a system prompt.

Instructions

Return the full SKILL.md content for one skill. Use this to load a skill as a system prompt in the client's LLM context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe skill slug, e.g. 'vuln-scan' or 'threat-hunting'
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral details such as error handling, permissions, or what happens for invalid slugs, leaving the agent with incomplete information for a safe invocation.

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 extremely concise with two sentences that front-load the core action and usage context, containing zero wasted words.

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?

Given the tool's simplicity (one parameter, no output schema, no annotations), the description covers the key purpose and use case. It lacks detail on return format or error states but is generally adequate.

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 coverage is 100% and the one parameter's description is clear. However, the description adds no additional meaning beyond the schema, so it meets the baseline but doesn't enhance understanding.

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 clearly states the tool returns the full SKILL.md content for one skill and specifies its use case for loading as a system prompt, effectively distinguishing from sibling tools like list_skills.

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 provides explicit guidance on when to use the tool ('to load a skill as a system prompt'), but does not mention when not to use it or alternatives beyond implication from sibling names.

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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