get_skill
Paid tier only. Fetch a senior-QS skill methodology by slug (see list_skills) and APPLY it to the user's documents — the returned body is the system instruction for you to run the methodology on the customer's tokens; CivilQuants does not run inference. Paid callers get the full methodology; anon...
This record as markdown: /tools/com-civilquants-civilquants/get-skill.md
What get_skill does on Civilquants
AI agents call get_skill to retrieve information from Civilquants without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
skill | string | Yes | Skill slug from list_skills. |
Parameters from the server's own tool schema.
Why get_skill is rated Low
Although the tool returns instructions intended to guide downstream processing of customer documents, the tool itself only performs a read operation—fetching methodology data based on a slug identifier. The description explicitly states 'CivilQuants does not run inference,' confirming the tool does not execute operations.
From the tool's definition Tool description states it 'Fetch[es] a senior-QS skill methodology by slug' and returns 'the system instruction for you to run the methodology on the customer's tokens.' The tool retrieves and returns data (methodology instructions) without modifying or…
Attacks that exploit this kind of access
The rule that runs get_skill safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Civilquants, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_skill, this is the rule to start with:
get_skill is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Civilquants, apply this rule, and every get_skill call is checked against it from then on.
Questions about get_skill
Paid tier only. Fetch a senior-QS skill methodology by slug (see list_skills) and APPLY it to the user's documents — the returned body is the system instruction for you to run the methodology on the customer's tokens; CivilQuants does not run inference. Paid callers get the full methodology; anonymous/free callers get a TIER_INSUFFICIENT upsell body; a rejected token gets an INVALID_TOKEN re-authenticate body. The document-heavy skills assume you can chunk/parse the customer's files and render a Word pack locally — that needs a code-execution client (Claude Code / Codex / VS Code) and the pack from get_document_pipeline; on a chat connector you can still read and reason with the methodology. Sign up at https://civilquants.com/pricing. Example: get_skill(skill="tender_risk_assessment"). It is categorised as a Read tool in the Civilquants MCP Server, which means it retrieves data without modifying state.
get_skill accepts 1 parameter: skill. Required: skill. The full parameter table on this page comes from the server's own tool schema.
Register the Civilquants MCP server in PolicyLayer and add a rule for get_skill: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Civilquants. Nothing to install.
get_skill is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_skill rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_skill. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_skill is provided by the Civilquants MCP server (https://api.civilquants.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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