EV Recommendation with Weighted Criteria Scoring
100 / 100 · Low risk
Fine to try.
Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking.
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'ev-recommendation-with-weighted-criteria-scoring' ] || [ -L ~/.agents/skills/'ev-recommendation-with-weighted-criteria-scoring' ]; then echo 'A skill folder named ev-recommendation-with-weighted-criteria-scoring already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ECNU-ICALK/AutoSkill' "$d" && git -C "$d" checkout --quiet '94c47ca488d4ba4117d20272e66d49b9877e68cf' -- 'SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/ev-recommendation-with-weighted-criteria-scoring' && mkdir -p ~/.agents/skills && cp -R "$d"/'SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/ev-recommendation-with-weighted-criteria-scoring' ~/.agents/skills/'ev-recommendation-with-weighted-criteria-scoring' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'ev-recommendation-with-weighted-criteria-scoring' ~/.claude/skills/'ev-recommendation-with-weighted-criteria-scoring' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/ECNU-ICALK/AutoSkill/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | 94c47ca | 100 |
| 2026-11-07 | 94c47ca | 100 |