Morning Briefing AI News

v0.1.0

AI industry news aggregation from curated RSS feeds. Catches model releases from major labs.

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
high confidence
Purpose & Capability
The skill is an RSS-based news aggregator and only requires access to a curated list of feed URLs (feeds.json). It declares no binaries, credentials, or unrelated resources, which is appropriate for the stated purpose.
Instruction Scope
Runtime instructions are limited to reading feeds.json, fetching RSS/Atom feeds via web_fetch, parsing and filtering items, optional deduplication/categorization, and optionally writing briefing files when the user explicitly requests --save. There are no instructions to read unrelated system files, access credentials, or post data to unexpected endpoints. It will contact external feed URLs (including raw.githubusercontent.com for some feeds) — expected for an RSS aggregator.
Install Mechanism
There is no install spec and no code files to write or execute. Being instruction-only minimizes install-time risk.
Credentials
The skill declares no environment variables, credentials, or config paths. The only filesystem access is to feeds.json in the skill directory and optional user-specified save paths, which matches the documented save behavior.
Persistence & Privilege
The skill is not always-on and does not request system-wide persistence. Saving to disk is explicitly gated behind user request (--save or explicit phrasing). It does not modify other skills or global agent settings in the instructions.
Assessment
This skill looks coherent for an RSS-based AI-news briefing. Before installing or enabling it: (1) review feeds.json and the listed feed URLs (some are proxied via raw.githubusercontent.com/Olshansk), because those remote files can change and will be fetched by the agent; (2) note that fetching feeds will make outbound requests to those feed hosts (server logs/IPs), which is normal for aggregators; (3) the skill only writes briefing files when you explicitly request --save — if you automate it (cron/job), double-check the save path and delivery channel configuration (e.g., Telegram chat IDs) so you don't inadvertently publish private data; (4) if you want tighter control, restrict autonomous invocation for the agent or review/approve runs before saving or announcing; and (5) if you require higher assurance, inspect the upstream GitHub repo (https://github.com/tensakulabs/ai-news-skill) and the Olshansk feed sources to confirm they meet your trust criteria.

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.

Runtime requirements

📰 Clawdis

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