Cheerme
v1.2.0Cheerme - Sincere companionship, warm support, heartfelt encouragement. Provides direction when you're lost, warmth when you're down, and celebration when yo...
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by@oxoyo
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 (emotional support, motivation) align with the SKILL.md: role types, dialects, triggers and workflows are coherent. Minor metadata mismatch: the registry lists 'source: unknown' and 'homepage: none' while SKILL.md includes a GitHub homepage (https://github.com/OXOYO/cheerme). This is not a capability risk but is an inconsistency you may want to verify.
Instruction Scope
SKILL.md instructs the agent to monitor conversation for trigger phrases and to 'remember important user information' (mindful memory) and to run multi-step planning and reminders. These instructions are within the skill's stated scope but imply collection/persistence of personal conversation context—no instructions reference reading unrelated files, environment variables, or external endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is downloaded or written to disk by the skill package itself.
Credentials
The skill declares no required environment variables, credentials, binaries, or config paths. Its requested capabilities (dialog monitoring, memory) do not require additional secrets; this is proportionate to a conversational companion skill.
Persistence & Privilege
always:false (default) and disable-model-invocation:false—so the agent may autonomously invoke the skill per platform rules. SKILL.md describes an 'auto mode' (on/off) that would cause ongoing monitoring of user dialogue; this is expected for the feature but raises normal privacy considerations about how memory is stored and how often the skill is invoked.
Assessment
This skill appears to do what it says: conversational support and goal coaching with optional automatic activation and a memory-like behavior. Before installing, verify the following: (1) confirm the author/repo (SKILL.md lists a GitHub homepage but the registry shows source unknown); (2) understand the platform's memory and data retention policies—the skill asks the agent to 'remember' user info, which may persist conversation data; (3) if you are uncomfortable with continuous monitoring, keep auto-mode off or make sure you can toggle '/cheerme on' and '/cheerme off'; (4) avoid sharing highly sensitive personal data in chats with the skill unless you have assurances about storage and access; (5) if you need greater assurance, inspect the referenced GitHub repo or ask the publisher for source code or clarification on how memory and triggers are implemented.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.
