result-to-claim
What this skill does
Analyzing experimental results to determine what claims they support, and what evidence is missing. It uses Codex MCP to evaluate results and route to next action (pivot, supplement, or confirm).
github/wanshuiyin - general - 14.5k stars
Threat analysis
Skill info
pkg:github/wanshuiyin/Auto-claude-code-research-in-sleep@bab594e?skill=result-to-claimAssessments
No risk patterns detected in this scan. A clean automated scan is a good signal, not a guarantee.
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How Anomity governs this at runtime
Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.
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Methodology and disputes
Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of result-to-claim? Report an issue or request a rescan.
