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Test an ActivityPolicy against sample data and iterate on its rules. Use when the user wants to test, debug, or validate an existing or in-progress ActivityPolicy, or when they say "preview this policy" or "test this policy".
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Basé sur la classification professionnelle SOC
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Scan a project repository for strict AGPL-3.0 license compliance across Go, Rust, and JavaScript/React codebases. Use this skill whenever the user asks to check, audit, verify, or enforce AGPL license compliance on a project, repo, or codebase. Triggers on phrases like "check agpl compliance", "audit license headers", "is this project agpl compliant", "scan for license headers", "check my license files", "agpl audit", or any request involving ensuring a project is properly licensed under AGPL. Always use this skill — don't wing AGPL compliance checks from general knowledge.
Covers producing weekly operational reports for the Datum AI Edge. Use when asked for an ops review, traffic report, latency analysis, provisioning report, or edge performance summary. Guides metric queries, anomaly detection, and publishing to datum-cloud/engineering.
| name | preview-policy |
| description | Test an ActivityPolicy against sample data and iterate on its rules. Use when the user wants to test, debug, or validate an existing or in-progress ActivityPolicy, or when they say "preview this policy" or "test this policy". |
Test and validate an ActivityPolicy.
Load the policy: Read the ActivityPolicy YAML from the file or conversation context provided by the user.
Run preview: Call preview_activity_policy with the policy spec and
autoFetch: { limit: 20, timeRange: "24h", sources: "both" } to test
against real data.
Analyze results: For each input in the preview results:
Report coverage:
Suggest improvements: If rules have errors or many inputs are unmatched, propose new or modified rules.
Re-preview: After making changes, preview again to verify fixes.
$ARGUMENTS
