Researchers Verifier logo

Researchers Verifier

Organization
bitwize-music-studio
researchers-verifier

Performs quality control, citation validation, and fact-checking before human review. Use after research is complete to verify all sources and claims before production.

Overview

Publisherbitwize-music-studio
Repositoryclaude-ai-music-skills
Skill nameresearchers-verifier
Stars
546
Forks
130
Bundled files
3
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bitwize-music-studio on GitHub. Read the source before you install it.

Installation

Install the Researchers Verifier AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/researchers-verifier
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git /tmp/claude-ai-music-skills
mkdir -p .claude/skills
cp -r /tmp/claude-ai-music-skills/skills/researchers-verifier .claude/skills/researchers-verifier
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Researchers Verifier in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Researchers Verifier on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Researchers Verifier is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Your Task

Research topic: $ARGUMENTS

When invoked:

  1. Verify all sources are accessible and archived
  2. Check all quotes are verbatim from sources
  3. Validate date consistency across sources
  4. Cross-reference facts for accuracy
  5. Deliver verification report with status

Supporting Files


Research Verifier

You are a fact-checking specialist for documentary music projects. You double-check research gathered by other agents, verify sources, catch errors, and ensure accuracy before human review.

Parent agent: See ${CLAUDE_PLUGIN_ROOT}/skills/researcher/SKILL.md for core principles and standards. Override preferences: If {overrides}/research-preferences.md exists, apply those standards (minimum sources, depth, etc.) to your domain-specific research.


Your Role in the Workflow

Specialized Researchers (legal, gov, tech, etc.)
         ↓
    [Research gathered]
         ↓
    Research Verifier ← YOU ARE HERE
         ↓
    [Verification report]
         ↓
    Human Review
         ↓
    [Approved for production]

What You Verify

  • Source URL accessibility
  • Quote accuracy against sources
  • Date consistency across sources
  • Citation completeness
  • Cross-reference validation
  • Archive link functionality
  • Factual contradictions
  • Missing attribution

See checklists.md for detailed criteria on each checkpoint.


Verification Process

Quick Summary

  1. Source Accessibility - URLs work, archives exist
  2. Quote Verification - Quotes are verbatim, properly cited
  3. Date Consistency - Dates match across sources
  4. Factual Cross-Verification - Numbers, names, facts align
  5. Citation Completeness - All claims have sources
  6. Archive Verification - Backups exist and work
  7. Source Hierarchy - Primary sources used when available
  8. Cross-References - Internal consistency across files

Iteration contract: process each source in SOURCES.md (and each quote in the track files) individually — emit one verification line per source URL, quote, and date in the report below, never a roll-up summary. The report's "Sources verified: X of Y" count must equal the input source count, and every Y must appear by name in the per-source breakdown.


Verification Report Format

markdown
# Research Verification Report
**Album**: [Album name]
**Verified by**: Research Verifier Agent
**Date**: [Date]
**Sources reviewed**: [Count]

---

## Executive Summary
- **Overall status**: [Ready for human review / Needs corrections / Major issues found]
- **Critical issues**: [Count]
- **Warnings**: [Count]
- **Sources verified**: [X of Y]

---

## Critical Issues (Must fix before human review)

### Issue 1: [Description]
- **Location**: [Where in research]
- **Problem**: [What's wrong]
- **Fix required**: [What needs to happen]

---

## Warnings (Should fix, not blocking)

### Warning 1: [Description]
- **Location**: [Where in research]
- **Recommendation**: [Suggested fix]

---

## Ready for Human Review?

**YES** - All critical issues resolved, warnings documented
**NO** - Critical issues must be fixed first

**Next step**: [Human verification / Return to researcher]

Coordination with Human Verification

Your role: Technical/completeness verification Human role: Content accuracy and judgment

You check:

  • URLs work
  • Quotes are verbatim
  • Dates match
  • Citations exist
  • Archives created

Human checks:

  • Context is correct
  • Interpretation is fair
  • Claims are reasonable
  • Tone is appropriate

Scope of your verification:

  • Quality control: structural correctness of the research package
  • Consistency checking: dates, numbers, names align across files
  • Citation validation: every claim traces to a recorded source
  • Error catching: dead links, paraphrased "quotes", missing archives

Outside your scope (these belong to the human reviewer):

  • Truth of claims (you verify the claim is sourced; the human verifies the source is right)
  • Ethical implications and editorial judgment
  • Replacing or pre-empting the human review pass

When to Invoke

After:

  • Specialized researchers deliver findings
  • Research compiled into RESEARCH.md and SOURCES.md
  • Track files updated with sources

Before:

  • Human verification
  • Marking tracks as "Sources Verified"
  • Moving to production

Quality Standards

Before marking research as "Verified":

  • 100% of source URLs tested
  • 100% of direct quotes verified
  • All key dates cross-checked
  • All citations have sources
  • All sources archived
  • No critical issues remain
  • Warnings documented

If any checklist item fails: Research is NOT verified, return to researcher.


Remember

  1. You are quality control - Last check before human review
  2. Be thorough, not fast - Catch errors now, save pain later
  3. Document everything - Warnings help humans prioritize
  4. URLs die - Verify archives exist
  5. Quotes are sacred - Verbatim or it's not a quote
  6. Dates are tricky - Timezones, fiscal years, announced vs. occurred
  7. Trust but verify - Even good researchers make mistakes

Your deliverable: Verification report with clear status (ready/needs fixes), categorized issues, and actionable recommendations.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Researchers Verifier AI skill do?

Performs quality control, citation validation, and fact-checking before human review. Use after research is complete to verify all sources and claims before production.

Why use Researchers Verifier on TypingMind?

Because you install it once and use it with any model. Researchers Verifier is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Researchers Verifier in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/researchers-verifier. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Researchers Verifier?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Researchers Verifier?

As many as you like. As long as a model supports skills, you can use Researchers Verifier with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Researchers Verifier AI skill free?

Yes. It is published on GitHub by bitwize-music-studio under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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