dimension-assessment

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/dimension-assessment

Scores a single feasibility dimension for a candidate based on evidence and gaps

  • Identifies relevant evidence from various sources to assess the candidate's readiness in a specific dimension.
  • Deploys APIs and services to gather data related to the candidate's experience, skills, and background in the specified dimension.
  • Applies TRL-style scoring criteria adapted for the given dimension to evaluate the candidate’s current state of readiness.
  • Generates a structured score with supporting evidence and identified gaps between the candidate's current state and full readiness.

SKILL.md

.github/skills/dimension-assessmentView on GitHub ↗
---
name: dimension-assessment
description: Score a single readiness dimension for a candidate with evidence and gap analysis.
execution: subagent
prompt: ./prompt.md
input: candidate, dimension
used-by: feasibility-assessment
---

# Dimension Assessment

Score a single feasibility dimension (e.g., technical, market, regulatory, resource, organizational) for a given candidate. Produces a readiness score on a 1-9 scale with supporting evidence and identified gaps.

## Execution

Spawns a subagent that:
1. Receives the candidate description and target dimension
2. Searches for evidence relevant to that dimension
3. Applies TRL-style scoring criteria adapted to the dimension
4. Identifies gaps between current state and full readiness
5. Returns structured score with evidence and gaps

## Why Subagent

Each dimension assessment is independent and can run in parallel. The scoring requires focused analysis of dimension-specific evidence without cross-contamination from other dimensions.

## HARD-GATE

Output MUST include: numeric score (1-9), at least 2 evidence items, and at least 1 identified gap. Reject outputs missing any of these.

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