LazyAGI
Registry indexed
ui-safe-form-patterns
Implement or refactor UI forms with defense-in-depth validation, safe input handling, reliable submission behavior, and privacy-aware error handling. Use when building login, registration, profile, payment, admin, or file-upload forms.
Overview
Implement or refactor UI forms with defense-in-depth validation, safe input handling, reliable submission behavior, and privacy-aware error handling. Use when building login, registration, profile, payment, admin, or file-upload forms.
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UI Safe Form Patterns
Use this skill to build forms that are both secure and dependable in real user conditions.
When to use
- Creating new forms or refactoring existing form logic.
- Hardening forms that process credentials, PII, money, or privileged actions.
- Fixing flaky submission flows and duplicate-submit bugs.
Reliability and safety baseline
- Validate on both client and server.
- Treat client validation as UX, not security control.
- Normalize input before validation when format ambiguity is common.
- Prevent duplicate submissions with in-flight state and idempotent APIs.
- Use clear loading, success, retry, and failure states.
- Never leak secrets or raw backend traces in UI errors.
Implementation workflow
- Define schema and constraints per field, including max lengths and allowed character sets.
- Build controlled input handling with immediate low-cost validation and deferred heavy checks.
- Sanitize or encode displayed user-provided content in previews and confirmation screens.
- Add submit lock, timeout handling, and cancel or retry behavior where relevant.
- Map backend errors into safe user-facing messages without exposing internals.
- Add tests for invalid input, race conditions, and repeated clicks.
Sensitive field rules
- Password fields: enforce minimum policy and avoid logging or analytics capture.
- Email and phone: normalize before validation to reduce false negatives.
- File uploads: enforce MIME and size checks client-side and server-side.
- Rich text inputs: sanitize on server and encode on render.
- Numeric money fields: use decimal-safe parsing and range checks.
Suggested checks
rg -n "onSubmit|handleSubmit|Form|formik|react-hook-form|yup|zod" frontend/src
rg -n "localStorage|sessionStorage|console\.log\(|Sentry|analytics" frontend/src
rg -n "type=\"file\"|upload|multipart|FormData" frontend/src
Test minimum
- Reject malformed input with stable messaging.
- Ignore rapid double click while request is in flight.
- Preserve user input when recoverable errors occur.
- Avoid stale success state after failed retries.
- Confirm no sensitive values appear in logs or telemetry payloads.
File metadata
name: ui-safe-form-patterns description: Implement or refactor UI forms with defense-in-depth validation, safe input handling, reliable submission behavior, and privacy-aware error handling. Use when building login, registration, profile, payment, admin, or file-upload forms.
View original text
--- name: ui-safe-form-patterns description: Implement or refactor UI forms with defense-in-depth validation, safe input handling, reliable submission behavior, and privacy-aware error handling. Use when building login, registration, profile, payment, admin, or file-upload forms. --- # UI Safe Form Patterns Use this skill to build forms that are both secure and dependable in real user conditions. ## When to use - Creating new forms or refactoring existing form logic. - Hardening forms that process credentials, PII, money, or privileged actions. - Fixing flaky submission flows and duplicate-submit bugs. ## Reliability and safety baseline - Validate on both client and server. - Treat client validation as UX, not security control. - Normalize input before validation when format ambiguity is common. - Prevent duplicate submissions with in-flight state and idempotent APIs. - Use clear loading, success, retry, and failure states. - Never leak secrets or raw backend traces in UI errors. ## Implementation workflow 1. Define schema and constraints per field, including max lengths and allowed character sets. 2. Build controlled input handling with immediate low-cost validation and deferred heavy checks. 3. Sanitize or encode displayed user-provided content in previews and confirmation screens. 4. Add submit lock, timeout handling, and cancel or retry behavior where relevant. 5. Map backend errors into safe user-facing messages without exposing internals. 6. Add tests for invalid input, race conditions, and repeated clicks. ## Sensitive field rules - Password fields: enforce minimum policy and avoid logging or analytics capture. - Email and phone: normalize before validation to reduce false negatives. - File uploads: enforce MIME and size checks client-side and server-side. - Rich text inputs: sanitize on server and encode on render. - Numeric money fields: use decimal-safe parsing and range checks. ## Suggested checks ```bash rg -n "onSubmit|handleSubmit|Form|formik|react-hook-form|yup|zod" frontend/src rg -n "localStorage|sessionStorage|console\.log\(|Sentry|analytics" frontend/src rg -n "type=\"file\"|upload|multipart|FormData" frontend/src ``` ## Test minimum - Reject malformed input with stable messaging. - Ignore rapid double click while request is in flight. - Preserve user input when recoverable errors occur. - Avoid stale success state after failed retries. - Confirm no sensitive values appear in logs or telemetry payloads.
Review the source
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- Get the skill
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- License
- Apache-2.0
- Price unconfirmed
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Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Apache-2.0
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 78 GitHub stars
- Stars/forks activity: 78 stars, 52 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- LazyAGI/LazyMind
- License
- Apache-2.0
- Version
- Unknown
- Last GitHub push
- Sep 28, 2026
- Registry updated
- Sep 28, 2026
- Instruction path
- skills/.curated/ui-safe-form-patterns/SKILL.md @ 5c8df649106b
Version reported in registry metadata; check source releases before relying on it.
Quality
60/100
Promising
Trust
61/100
Sandbox only
Audit
74/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 78 GitHub stars
- Stars/forks activity: 78 stars, 52 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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}For the creator
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- Creator
- LazyAGI
- Source
- LazyAGI/LazyMind
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- OpenAgentSkill community index
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