ai-github-radar
v1.0.0Tracks and analyzes AI-native tools and GitHub repos with fast growth or major updates to reveal emerging trends in AI workflows and ecosystems.
⭐ 2· 1.1k·7 current·8 all-time
byYuri@lopushok9
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name and description match the instructions: the skill focuses on AI tools and GitHub repo momentum and requires only public data (trending lists, star history, news links). No credentials, binaries, or unusual filesystem access are requested, which is proportionate for the stated purpose.
Instruction Scope
SKILL.md instructs the agent to fetch trending GitHub lists and news links and to cite URLs and metrics. This stays within scope, but the instructions are somewhat open-ended about selection/prioritization and rely on external web queries — so the agent could produce incorrect or hallucinated URLs/metrics if not actually verifying sources.
Install Mechanism
Instruction-only skill with no install spec and no code files, which is the lowest-risk model: nothing is written to disk by an installer.
Credentials
No environment variables, credentials, or config paths are requested. For public GitHub and news data this is appropriate; note that lack of a GitHub token limits access to authenticated rate-limited APIs but is not a security concern.
Persistence & Privilege
always:false and default autonomous invocation are set; the skill does not request elevated or cross-skill privileges and does not modify other skills or system configs.
Assessment
This skill appears coherent and low-risk because it only uses public web/GitHub signals and asks for no secrets. Before installing, consider: 1) the agent will need network access to fetch news and GitHub pages — expect rate limits and possible gaps without a GitHub token; 2) LLMs can fabricate or misquote URLs, star counts, or funding amounts — always verify cited links and metrics manually; 3) if you do not want background web crawling, restrict autonomous invocation or audit runs interactively; and 4) if you need high-confidence historical star graphs or API-level data, provide a scoped GitHub token and document why that credential is needed.Like a lobster shell, security has layers — review code before you run it.
latestvk97fntgt4z6a1rvfmyv7c4y80d81qssdlatest news ai github research toolsvk97fntgt4z6a1rvfmyv7c4y80d81qssd
License
MIT-0
Free to use, modify, and redistribute. No attribution required.