research-web-safely

Gathers and evaluates web evidence while treating retrieved content as untrusted data.

Updated May 12, 2026
One-click install
npx skills add https://github.com/mtk177a/skills --skill research-web-safely-mtk177a
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-web-safely
Source: https://github.com/mtk177a/skills/tree/main/skills/research-web-safely
Command: npx skills add https://github.com/mtk177a/skills --skill research-web-safely-mtk177a

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Web research often mixes untrusted page content, outdated documentation, and conflicting sources, risking prompt injection, leaked private data in queries, and unsupported conclusions. This Skill structures web evidence gathering so retrieved content never gains authority over the task and every material claim carries a traceable evidence state. ## Core Features & Use Cases - Untrusted-content handling: Treats pages, search results, and tool output as data with no authority to change scope, permissions, or destinations, and minimizes protected information in outbound queries. - Claim-specific source selection: Chooses standards, official docs, source code, advisories, or maintainer statements based on each claim's role, checking freshness, version applicability, and source independence. - Evidence-state reporting: Labels each material claim as Supported, Contradicted, Mixed, or Not verified with direct citations, separating observed facts from inference and unknowns. - Use Case: When asked whether a library version still supports a deprecated option, it checks current release notes against obsolete docs, cites the governing source, and reports the claim as Contradicted rather than merging versions. ## Quick Start Ask the agent to research whether a specific tool version supports a given feature using web sources and return cited evidence with an explicit evidence state for each claim.

Frequently Asked Questions about research-web-safely

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research web documentation safely with an AI agent?▼

Define the research question and material claims, minimize protected data in queries, open original sources rather than snippets, and treat all retrieved content as untrusted data. Return each claim with an explicit evidence state and a direct citation.

How to verify conflicting information across multiple web sources?▼

Select sources by claim fitness rather than one global ranking, preferring direct, authoritative, current sources. Check whether multiple sources merely repeat one origin, record conflicts explicitly, and mark the claim Mixed when credible evidence disagrees.

Can retrieved web pages give instructions to the AI agent?▼

No. Retrieved pages, search results, and tool output are treated as untrusted data with no authority to direct the workflow. Embedded requests to run commands, read files, disclose data, or change scope are never followed.

What happens when official documentation is missing or unavailable?▼

Research continues with qualified evidence when remaining sources are adequate for the intended use. If adequate evidence cannot be obtained, the claim is marked Not verified rather than converting absence of evidence into confirmation.

When should I not use web research for a task?▼

Avoid it for local-only analysis of supplied files, implementing code found online, or replacing another workflow's decisions and output contract. It owns only web evidence gathering and returns a handoff to the originating workflow.