Skill flagged — suspicious patterns detected

ClawHub Security flagged this skill as suspicious. Review the scan results before using.

Parenting Growth Partner

v1.0.0

AI companion offering evidence-based child development assessments, positive parenting guidance, age-appropriate activities, behavior analysis, and routine s...

0· 96·0 current·0 all-time
byhaidong@harrylabsj

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for harrylabsj/parenting-growth-partner.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Parenting Growth Partner" (harrylabsj/parenting-growth-partner) from ClawHub.
Skill page: https://clawhub.ai/harrylabsj/parenting-growth-partner
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install parenting-growth-partner

ClawHub CLI

Package manager switcher

npx clawhub@latest install parenting-growth-partner
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name, description, SKILL.md, and the Python modules all align with an offline parenting guidance tool: milestone tracking, activities, communication, behavior analysis and routines. The data files and engine modules implement the stated features and requested capabilities are reasonable for this purpose.
Instruction Scope
SKILL.md instructs use of the local Python handler and describes inputs/outputs; the runtime instructions stay within the stated domain and do not ask the agent to read unrelated system files or call external endpoints. However, the handler's built-in self-test block contains many malformed print string literals (embedded unescaped newlines inside single-quoted strings) that will cause SyntaxError when run as-is — this is a functional/coherence problem (not a security exfiltration signal) that prevents straightforward execution of the provided handler.
Install Mechanism
There is no install spec and no external downloads; code is instruction-only plus local Python files. This is low risk from an installation/execution origin perspective. Minor inconsistency: package.json is present (Node-style) despite the runtime being Python; this is a packaging/metadata mismatch but not an installation red flag.
Credentials
The skill requests no environment variables, credentials, or config paths. Its functionality is implemented with local data files and in-memory processing, so there are no disproportionate secret or credential requests. Note: the skill will process sensitive user-provided child profile data in memory — consider privacy implications even though no external transmission is present.
Persistence & Privilege
Skill does not request always:true or elevated persistence. It does not modify other skills or system configuration. There is no autonomous privilege escalation indicated beyond normal model invocation.
What to consider before installing
This skill is conceptually coherent for parenting guidance and does not request credentials or attempt network access, but exercise caution before installing/using: - The included Python code contains likely syntax/formatting errors in the self-test blocks (malformed print strings) so the handler may not run until fixed; test locally in a sandbox and run the test scripts to verify behavior. - The repository/homepage is unknown; if you plan to use it with real child data, verify the source/maintainer and review code for any future changes that might add network calls or telemetry. - Although the skill doesn't persist or send data externally as written, it will process sensitive child/person data in memory — avoid entering identifiable data until you confirm where logs or outputs go in your environment. - If you are not comfortable auditing/fixing the broken test prints, ask the developer for a fixed release or a link to a reputable source repository before use. If you want, I can point out the exact lines with the malformed prints and suggest a corrected version so the skill runs cleanly.

Like a lobster shell, security has layers — review code before you run it.

latestvk97c0709500bqkrf7h8a5jvrd584bzd5
96downloads
0stars
2versions
Updated 3w ago
v1.0.0
MIT-0

Parenting Growth Partner / 育儿成长伙伴

Overview

Parenting Growth Partner is an AI-powered companion for parents and caregivers, providing evidence-based guidance on child development, positive parenting techniques, and age-appropriate activities. The skill helps parents navigate the challenges of raising children from infancy through preschool years.

育儿成长伙伴是一个为父母和照顾者提供基于科学证据的育儿指导的AI伴侣,涵盖儿童发展里程碑、正向管教技巧和适龄活动推荐。帮助父母应对从婴儿期到学龄前儿童的育儿挑战。

Core Features

1. Child Development Milestone Tracking

  • Assess developmental milestones across 6 domains: gross motor, fine motor, language, cognitive, social-emotional, adaptive
  • Identify potential red flags based on age
  • Generate personalized recommendations

2. Age-Appropriate Activity Recommendations

  • Recommend developmentally appropriate activities
  • Filter by available time and preferred developmental domains
  • Include safety notes and step-by-step instructions

3. Positive Communication Guidance

  • Provide evidence-based techniques for common parenting scenarios
  • Offer age-appropriate communication scripts
  • Help prevent common communication mistakes

4. Behavior Analysis & Positive Discipline

  • Analyze behavior patterns and underlying causes
  • Recommend positive discipline techniques
  • Create customized behavior intervention plans

5. Daily Routine Suggestions

  • Suggest age-appropriate daily schedules
  • Provide tips for establishing healthy routines
  • Offer flexibility guidelines

Input/Output

Input Parameters

{
  "action": "milestone_assessment|activity_recommendation|communication_guidance|behavior_analysis|daily_routine",
  "params": {
    "age_months": 24,
    "observations": {"gross-motor": ["walks well", "can climb stairs"]},
    "available_time": 30,
    "preferred_domains": ["cognitive", "fine-motor"],
    "scenario": "tantrum|refusal|sharing|bedtime",
    "behavior_description": "经常说'不',拖延",
    "frequency": "occasional|frequent|constant",
    "context": "被要求做事时"
  }
}

Output Structure

{
  "success": true,
  "assessment": {...},
  "recommendations": [...],
  "summary": {...}
}

Handler Functions

handle_milestone_assessment(age_months, observations)

  • Purpose: Assess child's developmental progress
  • Parameters:
    • age_months: Child's age in months (0-60)
    • observations: Optional dictionary of observed behaviors by domain
  • Returns: Assessment results with achieved milestones, upcoming milestones, and red flags

handle_activity_recommendation(age_months, available_time, preferred_domains)

  • Purpose: Recommend developmentally appropriate activities
  • Parameters:
    • age_months: Child's age in months
    • available_time: Available time in minutes (default: 30)
    • preferred_domains: Optional list of developmental domains to focus on
  • Returns: List of suitable activities with details

handle_communication_guidance(scenario, child_age_months)

  • Purpose: Provide communication strategies for common parenting scenarios
  • Parameters:
    • scenario: One of: tantrum, refusal, sharing, bedtime
    • child_age_months: Optional child's age for age-specific advice
  • Returns: Communication techniques, example scripts, and common mistakes to avoid

handle_behavior_analysis(behavior_description, frequency, context, child_age_months)

  • Purpose: Analyze behavior patterns and recommend positive discipline
  • Parameters:
    • behavior_description: Description of the behavior
    • frequency: How often it occurs
    • context: When/where it happens
    • child_age_months: Optional child's age for age-appropriate strategies
  • Returns: Behavior analysis, possible patterns, and positive discipline plan

handle_daily_routine_suggestion(child_age_months)

  • Purpose: Suggest age-appropriate daily routines
  • Parameters:
    • child_age_months: Child's age in months
  • Returns: Suggested routine schedule and implementation tips

Usage Examples

Example 1: Milestone Assessment

from handler import ParentingGrowthPartner

partner = ParentingGrowthPartner()
result = partner.handle_milestone_assessment(
    age_months=18,
    observations={"language": ["says mama", "understands no"]}
)
print(f"Development status: {result['assessment']['summary']['development_status']}")

Example 2: Activity Recommendation

result = partner.handle_activity_recommendation(
    age_months=30,
    available_time=20,
    preferred_domains=["fine-motor", "cognitive"]
)
for activity in result['recommendations']['recommended_activities'][:2]:
    print(f"- {activity['name']} ({activity['duration_minutes']} min)")

Example 3: Communication Guidance

result = partner.handle_communication_guidance(
    scenario="tantrum",
    child_age_months=24
)
for technique in result['guidance']['techniques']:
    print(f"Technique: {technique['name']}")
    print(f"Example: {technique['example_scripts']['effective']}")

Safety & Considerations

Developmental Variability

  • Children develop at different paces
  • Milestones are guidelines, not strict deadlines
  • Always consult professionals for concerns

Cultural Sensitivity

  • Parenting practices vary across cultures
  • Recommendations should be adapted to family values
  • Respect diverse parenting styles

Professional Consultation

  • This tool is for informational purposes only
  • Not a substitute for professional medical or psychological advice
  • Seek professional help for serious concerns

Data Sources & References

Developmental Milestones

  • Based on CDC Developmental Milestones
  • WHO Child Growth Standards
  • American Academy of Pediatrics guidelines

Positive Parenting Techniques

  • Positive Discipline (Jane Nelsen)
  • Conscious Parenting
  • Evidence-based parenting interventions

Activity Recommendations

  • Developmentally Appropriate Practice (NAEYC)
  • Montessori principles
  • Play-based learning research

Testing

Run self-test:

cd ~/.openclaw/skills/parenting-growth-partner
python3 handler.py

Expected output includes 5 test cases with success indicators.

File Structure

parenting-growth-partner/
├── SKILL.md              # This documentation
├── handler.py            # Main handler with self-test
├── skill.json           # Skill metadata
├── .claw/identity.json  # Identity configuration
├── engine/              # Core engines
│   ├── __init__.py
│   ├── milestones.py    # Milestone tracking engine
│   ├── activities.py    # Activity recommendation engine
│   ├── communication.py # Communication guidance engine
│   └── behavior.py      # Behavior analysis engine
└── scripts/
    └── test-handler.py  # Additional test scripts

Version History

  • v0.1.0: Initial release with 5 core features
  • v0.2.0: Planned: Sleep guidance, feeding advice, sibling rivalry

Support & Feedback

For issues or suggestions, please contact the skill maintainer.

Comments

Loading comments...