spacex-telemetry

Computes a trust score for SpaceX mission telemetry data across four observability axes.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/kentoku24/project-guild --skill spacex-telemetry
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spacex-telemetry
Source: https://github.com/kentoku24/project-guild/tree/main/docs/skills/spacex-telemetry
Command: npx skills add https://github.com/kentoku24/project-guild --skill spacex-telemetry

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SpaceX mission telemetry quality is monitored by computing a trust score and surfacing concrete concerns to accelerate outcomes and reduce cycle time.

Core Features & Use Cases

  • Continuous quality observation across cycles, evaluating accuracy, robustness, integrity, and durability.
  • Cycle-aware triggering after OBSERVE phases and on final verification requests to generate early warnings and a final report.
  • Evidence-backed decision making, with structured reporting and actionable recommendations for Mission Control.

Quick Start

Trigger the Telemetry agent after each Cycle OBSERVE phase to generate a trust score, surface concerns, and prepare the final report.

Frequently Asked Questions about spacex-telemetry

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compute a trust score for SpaceX mission telemetry data?▼

To compute a trust score for SpaceX mission telemetry, trigger the telemetry agent after each Cycle's OBSERVE phase. It evaluates accuracy, robustness, integrity, and durability to generate a final report with actionable recommendations.

What is continuous quality observability for mission control cycles?▼

Continuous quality observability for mission control cycles is a process of evaluating telemetry data across four axes: accuracy, robustness, integrity, and durability. It provides evidence-backed completion criteria and early warnings to accelerate mission outcomes.

How do I generate early warnings during a mission observe phase?▼

You generate early warnings during a mission observe phase by triggering cycle-aware execution after the OBSERVE phase completes. This surfaces concrete telemetry concerns and computes a trust score before final verification is requested.

Does this telemetry quality monitoring require external dependencies?▼

This telemetry quality monitoring requires no external dependencies. It operates independently to apply structured reporting and evidence-backed decision making directly within your existing cycle-based observability workflows.

What is the best way to surface concrete concerns in cycle-based observability workflows?▼

The best way to surface concrete concerns in cycle-based observability workflows is to trigger telemetry evaluation after each OBSERVE phase. This produces a final report with a computed trust score and actionable recommendations for mission control.

When should I not use automated telemetry trust score reporting?▼

You should not use automated telemetry trust score reporting outside of cycle-based observability workflows. It is specifically designed to trigger after OBSERVE phases and on final verification requests, meaning non-cyclical processes lack the required execution context.