radar-explore
Discover important work the radar does NOT yet track, by iterating the discovery-venue list in SOURCES.md every run — significance-first: read the top /…
Search the web with LLM-optimized results via the Tavily CLI. Use this skill whenever a scan needs to find papers, releases, announcements or articles, discover sources on a topic, or check what is new — i.e. whenever there is no specific URL yet. Returns relevant results with
$ npx -y skills add Neetx/ai-security-research-radar --skill tavily-search --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tavily-searchContext preview
The summary Claude sees to decide when to auto-load this skill.
Search the web with LLM-optimized results via the Tavily CLI. Use this skill whenever a scan needs to find papers, releases, announcements or articles, discover sources on a topic, or check what is new — i.e. whenever there is no specific URL yet. Returns relevant results with
name: tavily-search description: | Search the web with LLM-optimized results via the Tavily CLI. Use this skill whenever a scan needs to find papers, releases, announcements or articles, discover sources on a topic, or check what is new — i.e. whenever there is no specific URL yet. Returns relevant results with content snippets, relevance scores and metadata. Supports domain filtering, time ranges and multiple search depths. allowed-tools: Bash(tvly *)
Web search returning LLM-optimized results with content snippets and relevance scores.
Check `tvly --status`. If `tvly` is not on PATH:
pip install -q tavily-cli || uv tool install tavily-cli
Auth comes from the `TAVILY_API_KEY` environment variable (already set in this environment). Never print it. If it is unset, report that and fall back to the built-in web tools.
# Basic search tvly search "your query" --json # Precision search with more results tvly search "trellis coded quantization LLM" --depth advanced --max-results 10 --json # Recent items only tvly search "open-weight model release" --time-range week --topic news --json # Primary sources only tvly search "KV cache quantization" --include-domains arxiv.org,github.com --json # Full page content inline (saves a separate extract call) tvly search "vLLM disaggregated serving" --include-raw-content --max-results 3 --json
| Option | Description | |--------|-------------| | `--depth` | `ultra-fast`, `fast`, `basic` (default), `advanced` (highest relevance) | | `--max-results` | 0–20 (default 5) | | `--topic` | `general` (default), `news`, `finance` | | `--time-range` | `day`, `week`, `month`, `year` | | `--start-date` / `--end-date` | Bound results by date (YYYY-MM-DD) | | `--include-domains` / `--exclude-domains` | Comma-separated domain filters | | `--include-raw-content` | Full page content (`markdown` or `text`) | | `--chunks-per-source` | Chunks per source (advanced/fast depth) | | `--json` / `-o FILE` | Structured output / save to file |
the `tavily-extract` skill first (see `radar-source-verify`).
Autonomous tracker of the offensive AI-security frontier — AI for offense and attacks against AI — for a security researcher; generated from TRENDS.md.
Repo: Neetx/ai-security-research-radar
Discover important work the radar does NOT yet track, by iterating the discovery-venue list in SOURCES.md every run — significance-first: read the top /…
Sweep the primary security feeds — vendor/lab red-team & security blogs, research venues, and advisory feeds — on EVERY daily run (not rotated) so no…
Safely update TRENDS.md (the AI Radar ledger): append evidence, move stages, manage observation_queue, source_rotation and strategy_notes without breaking the…
Iterate the FULL social/community + trusted-curator source lists in SOURCES.md (Reddit, Hacker News, YouTube curators, explainer/digest pointer blogs, Hugging…
Regenerate README.md, the repo's landing page and only output surface: badges, a 3-4 bullet "since last scan" digest with inline links, a clickable trend…
Watch GitHub every daily run for behind-the-scenes movement — across watched REPOS (releases, merged PRs, hot issues), watched PROFILES/USERS (what a key…