Agent skill · Content & Marketing

information-evaluation

Evaluating online information for credibility, accuracy, and context. Covers the SIFT method (Stop, Investigate, Find, Trace), lateral reading, reverse image search, primary source verification, and common misinformation tactics. Use when assessing the trustworthiness of a web page, article, video, social media post, or any digital claim before relying on it or sharing it.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill information-evaluation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/analysis/information-evaluation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Information Evaluation Information evaluation is the discipline of deciding whether a piece of online information deserves your belief, your share, or your further attention. On the open web there is no gatekeeper: anyone can publish, anyone can amplify, and anything can look professional. The practical question is never "is this true?" in the abstract but "how much weight should I put on this before I act?" This skill catalogs the evaluation techniques that produce reliable answers quickly, grounded in the work of Mike Caulfield (SIFT), Sam Wineburg and Sarah McGrew (lateral reading), and the fact-checking community. **Agent affinity:** rheingold (crap detection, net smart), palfrey (source analysis), noble (algorithmic framing of what you find) **Concept IDs:** diglit-source-credibility, diglit-fact-checking, diglit-misinformation-tactics, diglit-search-strategies ## The SIFT Method Mike Caulfield's SIFT method is the most important evaluation framework taught in undergraduate information literacy courses. It is designed to take 30-90 seconds per claim, which is the only time budget most users actually have. | Step | Action | What it replaces | |---|---|---| | **Stop** | Recogn

What's inside
Steps it walks through
  1. The SIFT Method
  2. Stop
  3. Investigate the source
  4. Find better coverage
  5. Trace claims, quotes, and media
  6. Lateral Reading
  7. Reverse Image Search
  8. Primary Source Verification
  9. Common Misinformation Tactics
  10. False context
  11. Manipulated content
  12. Impostor content
  13. Fabricated content
  14. Emotional amplification
Ships with 1 file
  • metadata.json
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About this skill
What does the information-evaluation skill do?

Evaluating online information for credibility, accuracy, and context. Covers the SIFT method (Stop, Investigate, Find, Trace), lateral reading, reverse image search, primary source verification, and common misinformation tactics. Use when assessing the trustworthiness of a web page, article, video, social media post, or any digital claim before relying on it or sharing it.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill information-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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