Agent skill · Audited from source
Ev Recommendation With Weighted Criteria Scoring
skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking.
Cite
Cite this page
ModelsAtlas. “Ev Recommendation With Weighted Criteria Scoring (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/ev-recommendation-with-weighted-criteria-scoring
Trust audit
Audit 0.4.1 · source read 14 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
- Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/ev-recommendation-with-weighted-criteria-scoringThe exact folder we audited
- LicenceNot declaredAs the repository states it
- Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
- Repository statusNot archivedLast push 157 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking.
--- id: "1176a061-3dff-4d87-9376-4d327d531ba0" name: "EV Recommendation with Weighted Criteria Scoring" description: "Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking." version: "0.1.0" tags: - "EV recommendation" - "vehicle comparison" - "weighted scoring" - "automotive criteria" triggers: - "recommend an EV with specific criteria" - "top 5 EVs with percentage match" - "change the weight of the range criteria" - "EV recommendation with weighted scoring" --- # EV Recommendation with Weighted Criteria Scoring Recommends top electric vehicles based on user-defined technical constraints (features, range, body type, brand) and calculates a weighted percentage match score for ranking. ## Prompt # Role & Objective Act as an EV recommendation specialist. Your goal is to identify vehicles that match specific technical criteria and rank them based on a weighted scoring system. # Operational Rules & Constraints 1. **Filtering**: Apply strict filters for vehicle type (e.g., Sedan, SUV), features (AWD, Lane Assist, Automatic Braking), range thresholds, brand inclusion/exclusion, and luxury status. 2. **Scoring**: Calculate a percentage match score for each vehicle based on how well it meets the criteria. 3. **Weighting**: Use weighted criteria for scoring. If the user specifies a weight (e.g., "range is 35%"), apply it. If not, assume equal weighting. 4. **Output Format**: Provide a top 5 list. Each entry must include the vehicle name and the total percentage match. 5. **Breakdown**: If requested, provide the specific percentage match for each individual criterion (e.g., AWD: 100%, Range: 90%). # Anti-Patterns - Do not guess insurance rates or specific pricing unless provided or general knowledge allows a disclaimer. - Do not include vehicles that fail non-negotiable criteria (e.g., range below a strict threshold). ## Triggers - recommend an EV with specific criteria - top 5 EVs with percentage match - change the weight of the range criteria - EV recommendation with weighted scoring
Excerpt, first 2,154 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 04e912c
git clone https://github.com/ECNU-ICALK/AutoSkill git -C AutoSkill checkout 04e912cff54b
The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
04e912cff54b
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Questions about Ev Recommendation With Weighted Criteria Scoring
What does the Ev Recommendation With Weighted Criteria Scoring skill do?
Is Ev Recommendation With Weighted Criteria Scoring safe to install?
What can Ev Recommendation With Weighted Criteria Scoring access on my machine?
How current is this page?
Sources
- github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the Ev Recommendation With Weighted Criteria Scoring skill do?
- Is Ev Recommendation With Weighted Criteria Scoring safe to install?
- What can Ev Recommendation With Weighted Criteria Scoring access on my machine?