Research-grade Tavily toolkit for OpenClaw - native Node.js, zero dependencies. Use when the user needs deep web research, multi-URL content extraction, Tavi...
--- name: tavily-search-pro-native-node description: Research-grade Tavily toolkit for OpenClaw - native Node.js, zero dependencies. Use when the user needs deep web research, multi-URL content extraction, Tavily credit usage stats, caching, or 429 backoff. Includes search/extract/stats/cache subcommands, response caching, JSONL usage logging, and rate-limit backoff. Requires TAVILY_API_KEY in the process environment. For minimal search-only use, prefer tavily-search-native-node. version: 1.0.6 --- # Tavily Search Pro (Native Node) Version: 1.0.6 / publishable utility. Research-grade Tavily helper: one dependency-free Node script with `search`, `extract`, `stats`, and `cache` subcommands. ## Risk / invocation class Risk class: **external research API / credit usage / plaintext query logging**. Use deliberately. This skill sends search queries or URLs to Tavily over HTTPS and may append plaintext queries/URLs to a local usage log unless `--no-log` is used. ## Input packet Required: - `task`: search, extract, usage stats, or cache inspection. - `query_or_urls`: search query or URL list when applicable. - `privacy_sensitivity`: normal, sensitive, client/private, or unknown. - `freshness_need`: normal cache ok, fresh/no-cache, or news/freshness-critical. - `depth`: basic unless advanced is justified. Optional: - `trusted_domains`: include/exclude domains. - `max_results`: default 5; avoid broad high-result searches unless needed. - `logging_preference`: normal log, `--no-log`, or unknown. - `output_format`: human summary or `--json`. Stop or switch tools if the query is privacy-sensitive and sending it to Tavily is not appropriate. For one known URL, prefer `web_fetch` unless extraction quality matters. ## Output packet Return compactly: - command used or planned, redacted as needed - whether cache/logging was enabled - freshness/depth choice - sources/results with URLs - credits used or expected when known - limitations/caveats - next safe research step ## Security behavior - Reads `TAVILY_API_KEY` from the process environment only. - Does not read credential files or `~/.openclaw/.env`. - Makes network calls only to Tavily's HTTPS endpoints: - `https://api.tavily.com/search` - `https://api.tavily.com/extract` - Writes cache and usage logs only under `~/.openclaw/cache/tavily-search-pro-native-node/`. - Cache filenames are SHA-256 request hashes, not plaintext queries. - Usage logs may contain plaintext search queries/URLs; use `--no-log` for sensitive calls. - Does not transmit local files or secrets. - Does not modify system configuration or auto-update. - ClawHub static-analysis `potential_exfiltration` warnings are expected because this tool combines env credentials, local cache/log file access, and Tavily network calls. ## When to use Use this Pro skill when: - the user needs thorough web research, not just a quick lookup; - multiple queries are likely and cache will save credits; - full content extraction from specific URLs is needed; - Tavily usage/stats matter; - 429 retry/backoff is useful. Prefer `tavily-search-native-node` when: - a single simple search is enough; - minimum audit surface matters; - no disk writes/caching/logging are desired. Prefer `web_fetch` for a one-off known URL read. Do not use when: - the query is privacy-sensitive and should not leave this machine; - the user has not approved a sensitive/client/private query to an external research API; - freshness requires live source browsing and cache state is uncertain, unless `--no-cache` is used. ## Commands Script: `scripts/tavily-pro.mjs` ```powershell node "<skill-dir>\scripts\tavily-pro.mjs" search "OpenClaw skills ecosystem" node "<skill-dir>\scripts\tavily-pro.mjs" extract https://example.com/ https://www.iana.org/help/example-domains node "<skill-dir>\scripts\tavily-pro.mjs" stats node "<skill-dir>\scripts\tavily-pro.mjs" cache info node "<skill-dir>\scripts\tavily-pro.mjs" cache clear # local deletion; use only after explicit approval node "<skill-dir>\scripts\tavily-pro.mjs" help ``` For full flags, cache/log behavior, troubleshooting, and publish/update checks, load `references/tavily-pro-contract.md`. ## Operating guidance - Prefer one well-crafted query over several narrow searches. - Use `basic` depth unless advanced is justified; `advanced` costs more. - Use `--include`/`--exclude` to scope sources when appropriate. - Use cache by default; use `--no-cache` when freshness matters. - Use `--no-log` for sensitive but approved external queries. - For follow-up deep reads: search -> select URLs -> extract. - Quote sources so the user/requester can verify. - Track credit usage with `stats` when research runs get large. - Treat `cache clear` as local destructive cleanup; agents should ask before running it. ## Required checks before publishing/updating Minimum no-spend checks: ```powershell node --check skills\tavily-search-pro-native-node\scripts\tavily-pro.mjs node skills\tavily-search-pro-native-node\scripts\tavily-pro.mjs help node skills\tavily-search-pro-native-node\scripts\tavily-pro.mjs stats --json ``` Also run a no-key smoke test in a temporary home/profile context when feasible to confirm credential errors without spending credits. ## Public / ClawHub exposure Classification: **publishable utility with external API + local cache/log writes**. Before public update, run sanitizer/static checks and make sure docs clearly disclose: - external calls to Tavily; - cache/log file locations; - plaintext query/URL logging; - expected static-analysis warning; - no local file/secret exfiltration. Do not include private/internal/client strategy or operator-specific operational notes in a public release. ## Changelog - `1.0.6`: Add frontmatter version metadata and align reference docs so `cache clear` is consistently marked as local deletion requiring explicit approval. - `1.0.5`: Public package wording/metadata cleanup; cache/log/security behavior unchanged. _Last reviewed: 2026-05-26; Sonnet PASS_WITH_MINOR_NOTES satisfied._
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by @clawhub