agentleFS
yasdelayuyasdelayu/agent-x-cc/skills/jarvis-fact-checker/SKILL.md

fact-checker

Skill0 starsChanged 4 months agoMITView on GitHub

Проверка фактов по нескольким независимым источникам

21 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use qa-expert, prompt-master and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • belokonmSkill

    qa-expert

    Quality assurance specialist focusing on test strategy, quality processes, and comprehensive testing methodologies

    Also in 3 projects that use this

  • ttmouseSkill

    prompt-master

    提示词主控 - 智能选择合适的领域skill并生成提示词,支持自动领域分类和调度

    Also in 3 projects that use this

  • NVIDIASkill

    deep-research

    Queue deep, multi-step research and analysis tasks to the DeepAgents worker. Supports execution depth presets, request-specific rubrics, SubAgent delegation, and RubricMiddleware cross-validation.

    Also in 4 projects that use this

  • Microsoft AzureSkill

    humanizer

    Tone enforcement patterns for external-facing community responses

    Also in 4 projects that use this

  • AnthropicSkill

    xlsx

    Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

    Also in 3 projects that use this

  • VercelSkill

    find-skills

    Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

    Also in 3 projects that use this

The file

Files
SKILL.md

Fact Checker

Назначение

Декомпозирует утверждения на атомарные факты, проверяет каждый по 2+ источникам, присваивает оценку достоверности.

Алгоритм (SAFE паттерн)

  1. Split — разбить текст на атомарные утверждения (1 факт = 1 проверка)
  2. Assess — для каждого факта сформулировать поисковый запрос
  3. Find — найти 2+ независимых источника (web_search.py)
  4. Evaluate — сопоставить с найденным:
    • ✅ Verified — 2+ источника подтверждают
    • ⚠️ Unverified — 0-1 источник, нет противоречий
    • ❌ Contradicted — источники опровергают

Формат результата

Факт: [утверждение]
Статус: ✅/⚠️/❌
Источники: [URL1], [URL2]
Комментарий: [если есть]

Инструменты

  • web_search.py — поиск подтверждений
  • Fetch MCP — загрузка страниц для детальной проверки

Правила

  • Не пропускать ❌ факты в финальный текст
  • ⚠️ факты помечать как неподтверждённые
  • Для контент-фабрики — обязательная проверка ключевых цифр и дат

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.