Essence Distiller
v1.0.3Find what actually matters in your content — the ideas that survive any rephrasing.
⭐ 6· 2.4k·9 current·9 all-time
byLee Brown@leegitw
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description align with the SKILL.md: the skill describes extracting core ideas and normalization. It requests no binaries, env vars, or config paths, which is proportionate to a text-analysis/summarization helper.
Instruction Scope
SKILL.md instructs the agent to analyze provided content using the agent's configured model and explicitly states it does not call external third-party services itself or write files to disk. This is consistent, but the skill relies on whatever model the agent is configured to use — if that model is cloud-hosted, user data will be processed by that external provider as part of normal agent operation. Also the skill refers to a separate 'pattern-finder' skill for cross-source validation; that external interaction is optional but worth noting.
Install Mechanism
No install spec and no code files (instruction-only). This minimizes disk writes and reduces supply-chain risk.
Credentials
No required environment variables, credentials, or config paths are declared. The SKILL.md doesn't instruct access to unrelated secrets or files.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or modify other skills/configurations.
Assessment
This skill appears internally consistent and low-risk because it is instruction-only and asks for no credentials or installs. Before using it, be mindful that any content you submit will be processed by whichever model your agent is configured to use — if that model runs in the cloud (GPT, Claude, etc.), your data will be transmitted to that provider under their terms. Avoid sending highly sensitive or regulated data unless you confirm the model and agent's privacy settings. Also review outputs (normalizations and inferred principles) before acting on them; the skill explicitly finds patterns and does not verify factual correctness.Like a lobster shell, security has layers — review code before you run it.
analysisvk97b80j7my10bqxpvz4dy3h07583j7gwclarityvk97b80j7my10bqxpvz4dy3h07583j7gwdistillationvk97b80j7my10bqxpvz4dy3h07583j7gwextractionvk97b80j7my10bqxpvz4dy3h07583j7gwkey-pointsvk97b80j7my10bqxpvz4dy3h07583j7gwlatestvk97b80j7my10bqxpvz4dy3h07583j7gwopenclawvk97b80j7my10bqxpvz4dy3h07583j7gwsimplificationvk97b80j7my10bqxpvz4dy3h07583j7gwsummarizationvk97b80j7my10bqxpvz4dy3h07583j7gwtldrvk97b80j7my10bqxpvz4dy3h07583j7gwwritingvk97b80j7my10bqxpvz4dy3h07583j7gw
License
MIT-0
Free to use, modify, and redistribute. No attribution required.