Coordinate feedback loops to improve CTI quality across production workflows.
npx skills add https://github.com/Liberty91LTD/cti-skills --skill feedback-loops
Please help me install this Agent Skill. Skill: feedback-loops Source: https://github.com/Liberty91LTD/cti-skills/tree/main/skills/feedback-loops Command: npx skills add https://github.com/Liberty91LTD/cti-skills --skill feedback-loops
Feedback is Phase 6 of the CTI Hyperloop. Without it, the cycle is open-ended and quality degrades over time.
Instruct the system to initiate a feedback loop for a CTI project and capture the first retrospective entry.
High-intent search queries and answers about installing and using this skill.
Initiating a CTI feedback loop involves coordinating consumer feedback collection, running analyst retrospectives, and tracking source quality to enforce governance and capture lessons learned for continuous improvement.
A CTI retrospective is an analyst review session that captures lessons learned to update standard operating procedures, ensuring intelligence production and detection workflows continuously improve over time.
Yes, source quality tracking is a core feature that evaluates source reliability across intelligence products, enforcing governance to ensure feedback collection actively guides future CTI work.
The best way to integrate detection feedback is to coordinate it within your CTI workflows, applying retrospective lessons and source-quality tracking to sharpen future analyses and enforce governance.
CTI quality degrades over time without a feedback loop because the intelligence cycle becomes open-ended, lacking the consumer feedback and analyst retrospectives necessary to enforce governance and capture lessons learned.
No specific dependencies are required to run CTI feedback governance, as the skill independently coordinates feedback collection, source reliability evaluation, and retrospective tracking within your workflows.
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