Fashion
v1.0.0Style outfits, decode dress codes, and shop smart with body-aware advice, trend intelligence, and practical constraints.
⭐ 5· 765·1 current·2 all-time
byIván@ivangdavila
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name, description, and included guidance files (users.md, styling.md, etc.) are consistent with a styling/shop-intelligence skill. It requests no binaries, env vars, or access outside of the agent context — nothing appears extraneous for the stated purpose.
Instruction Scope
SKILL.md instructs the agent to solicit detailed, often sensitive user context (height, proportions, wardrobe inventory, nursing/medical constraints). That is appropriate for tailored outfit advice, but it means the agent will ask for and process personal data. There are no instructions to read local files, environment variables, or to contact external endpoints beyond normal model usage.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to execute. That minimizes supply-chain risk — nothing is downloaded or written to disk as part of installation.
Credentials
The skill declares no required environment variables, credentials, or config paths. The lack of requested secrets is proportionate to its functionality.
Persistence & Privilege
always:false (not forced into every agent), and disable-model-invocation:false is the normal default allowing autonomous invocation. The skill does not request system-wide changes or cross-skill credentials.
Assessment
This skill is internally coherent and low-risk from a technical standpoint: it has no installers, no code to execute, and it doesn't ask for credentials. However, it is designed to collect personal body and wardrobe details (measurements, proportions, photos, medical/adaptive needs) to generate recommendations. Before using it, consider: 1) Are you comfortable sharing precise measurements or photos with the agent/model? If not, provide ranges or descriptions instead of exact numbers. 2) Avoid uploading identity-bearing photos or files unless you trust the platform's privacy policy — the skill itself does not declare storage/endpoint behavior, so data will be handled by the hosting agent/model. 3) Prefer textual descriptions (e.g., '5'4", long torso, broad shoulders') over full-name or photo if privacy is a concern. 4) Note the skill source is unknown; while instruction-only skills are low technical risk, check the platform's policy about where user data is sent and retained. If you need stronger guarantees, ask the provider about data retention or run similar advice locally without sharing sensitive details.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
👗 Clawdis
OSLinux · macOS · Windows
