Agent skill

Article Fact Checker

GPL-2.0Auto-check passedResearch & Science

Install Article Fact Checker

skills CLI

$ npx skills add digoal/blog --skill article-fact-checker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install digoal/blog article-fact-checker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/article-fact-checker .claude/skills/article-fact-checker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "article-fact-checker" agent skill from https://github.com/digoal/blog/tree/master/skills/article-fact-checker into .claude/skills/article-fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-fact-checker", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/digoal/blog/tree/master/skills/article-fact-checker

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add digoal/blog --skill article-fact-checker -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install digoal/blog article-fact-checker --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/article-fact-checker .agents/skills/article-fact-checker && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "article-fact-checker" agent skill from https://github.com/digoal/blog/tree/master/skills/article-fact-checker into .agents/skills/article-fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-fact-checker", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add digoal/blog --skill article-fact-checker -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install digoal/blog article-fact-checker --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/article-fact-checker .cursor/skills/article-fact-checker && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "article-fact-checker" agent skill from https://github.com/digoal/blog/tree/master/skills/article-fact-checker into .cursor/skills/article-fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-fact-checker", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/digoal/blog.git --path skills/article-fact-checker

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add digoal/blog --skill article-fact-checker -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install digoal/blog article-fact-checker --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/article-fact-checker .gemini/skills/article-fact-checker && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "article-fact-checker" agent skill from https://github.com/digoal/blog/tree/master/skills/article-fact-checker into .gemini/skills/article-fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-fact-checker", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install digoal/blog article-fact-checker

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add digoal/blog --skill article-fact-checker -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/article-fact-checker .github/skills/article-fact-checker && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "article-fact-checker" agent skill from https://github.com/digoal/blog/tree/master/skills/article-fact-checker into .github/skills/article-fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-fact-checker", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add digoal/blog --skill article-fact-checker -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install digoal/blog article-fact-checker --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/article-fact-checker .opencode/skills/article-fact-checker && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "article-fact-checker" agent skill from https://github.com/digoal/blog/tree/master/skills/article-fact-checker into .opencode/skills/article-fact-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "article-fact-checker", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: article-fact-checker
GitHub stars: 8.6k
Token cost: ~939 tokens
SKILL.md length: 297 words
Files: 11 (incl. scripts, references, assets)
Skills in repo: 98
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: GPL-2.0

At a glance

Works in 4 steps: 立论(一句话复述) → 隐含前提(作者没说但必须为真的假设) → 范围边界(时间 / 地域 / 对象 / 条件) → …
The user asks to fact-check
SKILL.md covers Overview, When to use this skill, Workflow(六遍通读法) and 输出报告, plus 2 more sections
Runs Python scripts from its folder

What it does

Article Fact Checker is an agent skill from digoal/blog. 三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim — including checking logical consistency, evidence chains, source reliability, fabrication, non-quantifiable conclusions, and producing a scored report with original-text citations.

Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/report-template.md` and `references/evidence-verification.md`).

It sits in Research & Science, covering Fact-checking and source verification, Social media posts and Citation management. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

The user asks to fact-check
Evaluate the credibility of an article
Social-media post
Any written claim — including checking logical consistency

Example prompts

“/article-fact-checker”

Requirements

Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

立论(一句话复述)
隐含前提(作者没说但必须为真的假设)
范围边界(时间 / 地域 / 对象 / 条件)
整体定调(严肃学术 / 媒体评论 / 营销 / 自媒体 / 营销软文 / 宣传)

What it can do on your machine

Read from SKILL.md and the folder at commit ad6fcb7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Article Fact Checker loads about 939 tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 297 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~99
When it runs · the whole SKILL.md, loaded when a task matches: ~939
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~7.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 297 words, ~939 tokens.

Download SKILL.mdSave it as .claude/skills/article-fact-checker/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.

name: article-fact-checker
description: 三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim — including checking logical consistency, evidence chains, source reliability, fabrication, non-quantifiable conclusions, and producing a scored report with original-text citations.

Article Fact Checker

Overview

对任意文章做三层审查(L1 整体立论 / L2 段落论证 / L3 句子证据),产出可重复使用的带原文引用的评分报告。覆盖逻辑、证据链、可考、源头、不可量化结论的判定。

When to use this skill

触发场景(满足任一即可):

用户明确要求 fact-check / 验证 / 鉴定 / 审查一篇文章
用户问"这段文字/这篇报道可信吗"
用户要求评估某观点的证据链
用户要求做信息溯源、源头考证
用户问"这个数据/引文是真的吗"
用户提供一段或一篇文字,要求做真伪评估并打分

不适用:

用户只是要求改写、翻译、总结(改用对应 skill)
用户要求从零写文章(用写作类 skill)

Workflow(六遍通读法)

按顺序执行,每遍只解决一层问题。先粗后细,不要从证据找起。

Pass 1 — L1 整体层(5 min)

只回答:作者在主张什么?前提是什么?

提取 4 项:

立论(一句话复述)
隐含前提(作者没说但必须为真的假设)
范围边界(时间 / 地域 / 对象 / 条件)
整体定调(严肃学术 / 媒体评论 / 营销 / 自媒体 / 营销软文 / 宣传)

详见 references/layer1-overall.md。

Pass 2 — L2 段落层(15 min)

逐段标注:主题句、段落主张、段落间关系(并列/递进/对比/回扣/游离)。

标记每段的推理类型:演绎 / 归纳 / 类比 / 直觉。

扫描常见逻辑谬误。详见 references/layer2-paragraph.md 和 references/logical-fallacies.md。

Pass 3 — L3 句子/证据层(30 min)

抽取所有具体证据进 evidence list:

类型	例子	反向搜证命令
数据	"73.8% 的用户…"	`data:"<具体数字>"`
引文	"XX 研究表明…"	`<作者> <期刊> <年份>`
事件	"2024 年 3 月 X 公司…"	`<主体> <日期> <事件关键词>`
概念	"根据 Y 理论…"	`<理论名> site:.edu OR site:.org`

详见 references/layer3-sentence.md 和 references/evidence-verification.md。

自动化辅助:运行 scripts/evidence-extractor.py 从粘贴的文章自动抽取候选证据。

Pass 4 — 横向验证(45 min)

每个高风险证据做一次反向搜证;每个核心主张找 ≥2 个独立(无相互引用)来源做三角验证。

工具链:

Google Scholar / PubMed / 知网 — 学术
TinEye / Google Images — 反向搜图
Wayback Machine — 查历史快照
Factiva / 主流媒体 — 新闻事件

方法论:见 references/methodology.md。

Pass 5 — 不可量化结论判定

如果结论是定性的(不可量化),套 6 维定性评估法:

维度	评估问题
① 内部一致性	与文章所有事实陈述是否自洽?
② 既有事实兼容性	与已确认的共识/物理规律是否相容?
③ 共识程度	主流学界/业界是否认可?
④ 可证伪性	能否举出"如果 X 发生则结论失败"的反例?
⑤ 替代解释覆盖	作者是否主动列出并反驳其他解释?
⑥ 时间检验	1 年 / 5 年 / 10 年回看是否仍成立?

关键洞察:任何定性结论,作者说不出"什么情况下我会承认我错了" = 营销文/信仰文,不是知识。

详见 references/qualitative-assessment.md。

Pass 6 — 证据链完整性检查

对每条核心主张画证据链:

主张 P
├─ 证据 E1 → 直接支持 P? ☐ 全 ☐ 部分 ☐ 否
├─ 证据 E2 → 直接支持 P? ☐ 全 ☐ 部分 ☐ 否
├─ 证据 E3 → ……
├─ 缺失环节 G1: 需要的额外假设是什么?
├─ 缺失环节 G2: ……
└─ 反证 R: 被忽略的支持否定 P 的证据?

常见缺口:关键假设未声明 / 反证被剔除 / 第三变量未控制 / 样本迁移。

输出报告

复制 assets/report-template.md 模板,产出:

立论复述 + 整体定调判断
L1 / L2 / L3 三层评分(各维 1-5 分)
加权总分(默认 L1=30% / L2=30% / L3=40%,可按文章类型调整)
问题清单(每条引用原文,标严重度高/中/低)
采纳建议:推荐采纳 / 谨慎采纳 / 不予采纳 / 需进一步核查

Resources

scripts/

evidence-extractor.py — 从粘贴的文章中按正则模式自动抽取候选证据(数据/引文/事件),输出 evidence-list.json。Pass 3 自动化辅助。

references/

layer1-overall.md — L1 整体层 8 项检查清单
layer2-paragraph.md — L2 段落层 5 项结构检查 + 段落关系矩阵
layer3-sentence.md — L3 句子层 6 项动作 + 模糊归因红榜
logical-fallacies.md — 常见逻辑谬误分类清单(供 L2 排查)
evidence-verification.md — 证据可考性 / 捏造识别 / 源头可信度评估
qualitative-assessment.md — 不可量化结论的 6 维定性评估法(详细)
methodology.md — SIFT / CRAAP / 横向阅读 / 三角验证方法论

assets/

report-template.md — Markdown 评分报告模板(直接复制使用)

时间预算参考

文章长度	完整审查耗时
推文 / 短帖(< 500 字)	15-30 min
媒体评论 / 博客(500-3000 字)	1-2 h
深度报道 / 学术综述(3000-10000 字)	3-5 h
长篇报告 / 书籍章节(> 10000 字)	8+ h

如时间不允许,至少做 Pass 1 + Pass 2 + Pass 3 证据抽查 → 输出简化版报告。

Files

SKILL.md and 10 other files (scripts, references, assets) in skills/article-fact-checker of digoal/blog.

SKILL.md
agents/openai.yaml
assets/report-template.md
references/evidence-verification.md
references/layer1-overall.md
references/layer2-paragraph.md
references/layer3-sentence.md
references/logical-fallacies.md
references/methodology.md
references/qualitative-assessment.md
scripts/evidence-extractor.py

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Article Fact Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Article Fact Checker compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Article Fact Checker this skilldigoal/blog	8.6k	—	~939	Automated safety check: Pass	GPL-2.0	yesterday
Citation Verification GuideGalaxy-Dawn/claude-scholar	5.7k	2 repos	~1.9k	Automated safety check: Pass	MIT	17 days ago
Grounded CitationsNousResearch/hermes-agent	252k	—	~3.1k	Automated safety check: Pass	MIT	today
Fact Checkelvisun/newsjack	1.5k	—	~5.6k	Automated safety check: Pass	MIT	3 days ago
Citation VerificationLight0305/Light-skills	640	—	~3.4k	Automated safety check: Pass	MIT	3 mo ago
Reference VerifierYuan1z0825/nature-skills	47k	2 repos	~1.4k	Automated safety check: Pass	Apache-2.0	today

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Questions about Article Fact Checker

What does Article Fact Checker do?

三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…. Article Fact Checker is an agent skill from digoal/blog. 三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim — including checking logical consistency, evidence chains, source reliability, fabrication, non-quantifiable conclusions, and producing a scored report with original-text citations.

When should I use Article Fact Checker?

Article Fact Checker fits situations like: the user asks to fact-check; evaluate the credibility of an article; social-media post; any written claim — including checking logical consistency.

How do I install Article Fact Checker in Claude Code?

Run `npx skills add digoal/blog --skill article-fact-checker -a claude-code`. Or copy the skill folder (skills/article-fact-checker in digoal/blog) into .claude/skills/article-fact-checker in your project. Claude Code loads it when a task matches its description.

How do I install Article Fact Checker in Codex?

Run `npx skills add digoal/blog --skill article-fact-checker -a codex`. Or copy the skill folder (skills/article-fact-checker in digoal/blog) into .agents/skills/article-fact-checker in your project. Codex loads it when a task matches its description.

Can I use Article Fact Checker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add digoal/blog --skill article-fact-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/article-fact-checker, .gemini/skills/article-fact-checker, .github/skills/article-fact-checker and .opencode/skills/article-fact-checker in your project.

What does Article Fact Checker need to run?

Going by SKILL.md and its folder, Article Fact Checker needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Article Fact Checker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Article Fact Checker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Article Fact Checker use?

Article Fact Checker is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Article Fact Checker use?

About 939 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.7k tokens, read only when the agent opens those files.

What are the alternatives to Article Fact Checker?

Skills that share tags, products or a category with Article Fact Checker: Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Grounded Citations (NousResearch/hermes-agent, 252k stars), Fact Check (elvisun/newsjack, 1.5k stars) and Citation Verification (Light0305/Light-skills, 640 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Article Fact Checker?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,588 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.

Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Article Fact Checker

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Article Fact Checker

Overview

When to use this skill

Workflow(六遍通读法)

Pass 1 — L1 整体层(5 min)

Pass 2 — L2 段落层(15 min)

Pass 3 — L3 句子/证据层(30 min)

Pass 4 — 横向验证(45 min)

Pass 5 — 不可量化结论判定

Pass 6 — 证据链完整性检查

输出报告

Resources

scripts/

references/

assets/

时间预算参考

Files

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Questions about Article Fact Checker