OpenAgentSkill Registry Manifest
Skill: Sparse To Dense
Slug: fangchangma-sparse-to-dense
Category: robotics-iot
Description: ICRA 2018  "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

Agent fit:
- Decision: 38/100 Needs manual review
- Primary fit: Sports analytics
- Role: Needs validation

Supply profile:
- Track: Coding and developer agents
- Scenario: Coding agents
- Applicable agents: Claude Code, CLI, Codex, Cursor, Lua
- Maintenance: 8y since push
- Risk: Needs review

Trust:
- Trust score: 69/100 Manual review
- Audit: 61/100 Needs review

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: fangchangma
- Claim URL: https://www.openagentskill.com/skills/fangchangma-sparse-to-dense#claim-this-skill

Install:
npx skills add fangchangma/sparse-to-dense

URLs:
- Web: https://www.openagentskill.com/skills/fangchangma-sparse-to-dense
- API: https://www.openagentskill.com/api/agent/skills/fangchangma-sparse-to-dense
- Install API: https://www.openagentskill.com/api/skills/fangchangma-sparse-to-dense/install
- Repository: https://github.com/fangchangma/sparse-to-dense