Life Analyzer

v1.0.0

Analyzes your thoughts or journal entries to identify emotional tones, patterns, root issues, blind spots, and suggests specific improvement steps.

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Benign
high confidence
Purpose & Capability
Name/description match the SKILL.md instructions (detect tone, identify patterns/blind spots, extract root issue, produce actionable steps). No unrelated env vars, binaries, or installs are requested.
Instruction Scope
Instructions are narrowly scoped to the provided text and do not instruct reading files, env vars, or contacting external endpoints, but they are vague about safety boundaries (e.g., no guidance for crisis language) and include subjective directives ('extract root problem', 'be honest, not comforting') that could produce blunt or harmful feedback.
Install Mechanism
No install spec, no code files — instruction-only. That minimizes disk-level risk; nothing is downloaded or written by the skill itself.
Credentials
Skill requests no environment variables, credentials, or configuration paths. The requested capabilities are proportional to the stated task.
Persistence & Privilege
Skill is not marked always:true and uses normal agent invocation. It does not request persistent privileges or modify other skills' configs.
Assessment
This skill appears internally coherent, but it will process sensitive personal writing. Before installing: 1) Confirm how the platform handles and stores user inputs and logs (are entries sent to external servers, retained, or logged?). 2) Don’t submit crisis content or suicidal ideation to this skill — it has no crisis-handling instructions; use emergency/professional resources instead. 3) Because the publisher is unknown and there is no homepage, prefer testing with non-sensitive sample text first. 4) If you plan to use it regularly, check the platform’s retention and deletion policies and consider whether you need an audited skill from a known publisher. 5) Consider adding explicit safety constraints (ask user about consent to analyze sensitive material; include a warning/disclaimer) before relying on its output for important decisions.

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

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54downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

name: Deep Life Analyzer description: Analyzes user thoughts or journal entries and extracts patterns, blind spots, and actionable improvements.

trigger: when: - user shares thoughts, problems, or journal entries - user asks for self-improvement or clarity avoid: - factual questions - technical tasks

input_schema: text: string

execution:

  • detect emotional tone
  • identify repeating patterns or beliefs
  • highlight contradictions or blind spots
  • extract root problem (not surface-level)
  • generate 3 actionable steps

output_format: CORE PATTERN:

ROOT ISSUE:

BLIND SPOTS:

ACTION STEPS: 1. 2. 3.

constraints:

  • be honest, not comforting
  • avoid generic advice
  • insights must be specific to the input

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