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Mood Tracker Audit Report | OpenAgentSkill | OpenAgentSkill

OpenAgentSkillRegistry

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Development
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Find the format you need.

Websites & UI
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Data & tables

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Explore skills for your tools.

Codex
Claude Code
Cursor · code review
More agents

Browse all skills With examples AI Skill Finder

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Skills/Mood Tracker/Audit

Skill audit report

Mood Tracker Audit report.

Track, view, and analyze daily mood scores locally.

REVIEWED · REVIEWNeeds reviewGenerated Oct 4, 2026Heuristic metadata audit

79

Audit

72

Trust

67

Quality

83

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

72

Strong shortlist

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

Explore

Skills Gallery New submissions Agent Skills

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What Is an Agent Skill?AI Agent Skills Tasks Packs Best Skills New & Trending Workflow Recipes Use Cases Agents Agent Entry

Trust

Compare Safety Gate Skills Registry Rankings

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Build

Docs About Contact Sponsor API

More links

llms.txt OpenAPI CLI Creator Kit Skill Creators X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

Privacy Contact SponsorBuilt for agent-native discovery

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

108 GitHub stars

Stars/forks activity

WARN

57

108 stars, 24 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

27d since push

License clarity

PASS

86

AGPL-3.0

README/SKILL.md completeness

WARN

60

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add loomax-labs/InferrLM --skill Mood Tracker

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/loomax-labs/InferrLM/tree/main/assets/skills/mood-tracker

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 7 Needs review

Install path

92

PASS

npx skills add loomax-labs/InferrLM --skill Mood Tracker

Repository

88

PASS

https://github.com/loomax-labs/InferrLM/tree/main/assets/skills/mood-tracker

License

86

PASS

AGPL-3.0

Maintenance

100

PASS

27d since push

AI review

55

CHECK

The skill does not explicitly mention error handling for invalid scores (e.g., out of range) or malformed dates, which could lead to unexpected behavior.

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

57

FIX

108 stars, 24 forks; issue activity unavailable in current metadata

Adoption

68

INFO

108 GitHub stars

Warnings

The skill does not explicitly mention error handling for invalid scores (e.g., out of range) or malformed dates, which could lead to unexpected behavior.
The SKILL.md does not specify the underlying storage mechanism (e.g., localStorage) or that data is device-local only, though it does state privacy.
Quality score needs review
Stars/forks activity: 108 stars, 24 forks; issue activity unavailable in current metadata
README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

$ npx skills add loomax-labs/InferrLM --skill Mood Tracker

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 79/100
Quality: 67/100
Trust: 72/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 27d since push
Events: No events yet
GitHub stars: 108
Last push: Sep 6, 2026

Agent safety v2

67/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

The skill does not explicitly mention error handling for invalid scores (e.g., out of range) or malformed dates, which could lead to unexpected behavior.
67/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

The skill does not explicitly mention error handling for invalid scores (e.g., out of range) or malformed dates, which could lead to unexpected behavior.

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