extract
Extract Clean Web Content with Tavily
Clean webpage content is hard to collect when pages include navigation, scripts, and formatting noise. This skill extracts readable markdown or text from known URLs through Tavily.
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Review the plan and obtain explicit user consent before changing files.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "extract" from https://skillstore.io/skills/tavily-ai-extract.md and its manifest at https://skillstore.io/api/skills/tavily-ai-extract/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "extract". Extract a documentation page about authentication.
Expected outcome:
A readable markdown page with the title, sections, examples, and the original source URL.
Using "extract". Extract five product pages and focus on pricing details.
Expected outcome:
A source-by-source summary with relevant pricing text, extracted page content, and any failed URLs.
Using "extract". Extract a JavaScript-heavy dashboard page with images.
Expected outcome:
Advanced extraction results with visible text, available image URLs, and notes about missing content.
Security Audit
High RiskThe skill performs a legitimate Tavily extraction workflow through an included shell script. Confirmed risks are OAuth token cache reads, environment secret handling, bearer token transmission, and unpinned npx execution. Most Markdown backtick, example URL, and /dev/null findings are false positives, and I found no prompt injection text.
Confirmed security concerns (1)
Capability review items (18)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
โ๏ธ External commands (52)
๐ Network access (32)
๐ Filesystem access (16)
๐ Env variables (16)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
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https://skillstore.io/skills/tavily-ai-extract/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/tavily-ai-extract?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/tavily-ai-extract?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/tavily-ai-extract/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/tavily-ai-extract.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA ยท BibTeX ยท CFF)
APA citation
tavily-ai. (2026). extract security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tavily-ai-extract/audits/4BibTeX citation
@techreport{tavily-ai-tavily-ai-extract-2026,
author = {tavily-ai},
title = {extract security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/tavily-ai-extract/audits/4},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "extract security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
- name: "tavily-ai"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/tavily-ai-extract/audits/4"
identifiers:
- type: other
value: "skillstore:tavily-ai-extract:audit:4"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
pbakaus-extract
2026-08-21
tavily-ai-extract
2026-08-21
actionbook-extract
2026-08-21
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Collect Research Sources
Extract readable content from known articles before summarizing or comparing them.
Review Documentation Pages
Pull clean sections from API docs for implementation planning or support answers.
Monitor Public Pages
Extract content from public product pages for audits, comparisons, and update tracking.
Try These Prompts
Use the extract skill to extract markdown from this URL: [URL]. Return headings, key points, and the source URL.
Extract content from these URLs: [URL list]. Return one section per source and note any failed pages.
Extract these documentation pages with query focus: [topic]. Keep only the most relevant chunks and cite each source URL.
Use advanced extraction for these JavaScript-heavy pages. Include image URLs when available and summarize missing or failed content.
Best Practices
- Extract only URLs that you are allowed to share with Tavily.
- Use query focus when you need specific sections from long pages.
- Start with basic extraction, then use advanced mode for missing content.
Avoid
- Do not send private, paid, or confidential URLs without approval.
- Do not treat extracted content as verified facts without source review.
- Do not batch more URLs than the API limit supports.
Frequently Asked Questions
Does this skill require a Tavily account?
Does it search the web?
What data is sent to Tavily?
Can it handle JavaScript-rendered pages?
Where does authentication come from?
Is it safe for private pages?
Developer Details
Author
tavily-aiLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
36e07d5e13068e5be64447e8f20b427cf2cbd21a
Maintenance freshness
7/18/2026
Usage
6 downloads ยท 248 views
File structure