mcpbeat

Nw Source Verification

nwave-ai/nw-source-verification

Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements

627 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
588
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nWave-ai/nWave --skill nw-source-verification

The instruction itself

8 sections, as written by the author

Source Verification

Source Reputation Tiers

Validate every source against the trusted source domains provided via prompt context.

| Tier | Score | Examples | Verification |

|------|-------|---------|-------------|

| High | 1.0 | Academic (*.edu, arxiv.org, ieee.org), Official (*.gov, w3.org, ietf.org), Tech docs (developer.mozilla.org), OSS foundations (apache.org, cncf.io) | Standard citation |

| Medium-High | 0.8 | Industry leaders (martinfowler.com, stackoverflow.com, infoq.com) | Cross-ref with 1+ high-tier |

| Medium | 0.6 | Community (medium.com verified experts, dev.to, hashnode.com) | Author verification + 3-source cross-ref |

| Excluded | 0.0 | Unverified blogs (*.blogspot.com, wordpress.com), quora.com, pastebin.com | Reject, log warning, find alternative |

Cross-Referencing Methodology

  • Identify the specific assertion to verify
  • Find 2+ independent sources not citing each other (avoid circular refs)
  • Verify independence: different authors, publishers, organizations
  • Compare: agree on substance (minor wording differences OK)
  • Document: verified / partially verified / unverified per finding

Circular Reference Detection

  • Source B cites Source A = one source, not two
  • Multiple sources referencing single study = cite the original
  • Prefer primary over secondary sources

Bias Detection Checklist

Evaluate before citing:

  • Commercial interest: selling related product/service?
  • Sponsorship: sponsored/funded content?
  • Conflict of interest: author benefits from conclusion?
  • Geographic/cultural bias: limited to single region?
  • Temporal bias: publication dates skewed to specific era?
  • Cherry-picking: contradictory evidence acknowledged?
  • Logical fallacies: correlation as causation, authority without evidence

When bias detected: note in Source Analysis, reduce confidence.

Citation Format

[1] {Author/Organization}. "{Title}". {Publication/Website}. {Date}. {Full URL}. Accessed {YYYY-MM-DD}.

Required Metadata Per Source

Source URL | Domain | Access date | Reputation score (from tiers) | Verification status

Paywalled or Restricted Sources

Mark "[Paywalled]"/"[Restricted Access]" | Provide URL | Find open-access alternative | Note in Knowledge Gaps

How to use it

Copy the folder

Take nwave-ai/nw-source-verification from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.