Perplexity Web Search
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
Fact-Check-X 流程编排能力,依次组织各方答案汇总、各方答案聚合(未核验)、权威核验后的最终答案和各方答案测评,生成可打开、可审计、可迁移的阶段产物与完整报告包。
$ npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills fact-check-x-unified --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fact-check-x-unified .claude/skills/fact-check-x-unified && rm -rf skills-srcUse ~/.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/
Install the "fact-check-x-unified" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/fact-check-x-unified into .claude/skills/fact-check-x-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-check-x-unified", 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 install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/fact-check-x-unifiedType 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.
$ npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills fact-check-x-unified --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fact-check-x-unified .agents/skills/fact-check-x-unified && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fact-check-x-unified" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/fact-check-x-unified into .agents/skills/fact-check-x-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-check-x-unified", 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.
$ npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills fact-check-x-unified --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fact-check-x-unified .cursor/skills/fact-check-x-unified && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fact-check-x-unified" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/fact-check-x-unified into .cursor/skills/fact-check-x-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-check-x-unified", 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 https://github.com/sickn33/agentic-awesome-skills.git --path skills/fact-check-x-unified--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills fact-check-x-unified --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fact-check-x-unified .gemini/skills/fact-check-x-unified && rm -rf skills-srcUse ~/.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/
Install the "fact-check-x-unified" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/fact-check-x-unified into .gemini/skills/fact-check-x-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-check-x-unified", 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.
$ gh skill install sickn33/agentic-awesome-skills fact-check-x-unifiedInstalls 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).
$ npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fact-check-x-unified .github/skills/fact-check-x-unified && rm -rf skills-srcUse ~/.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/
Install the "fact-check-x-unified" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/fact-check-x-unified into .github/skills/fact-check-x-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-check-x-unified", 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.
$ npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills fact-check-x-unified --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fact-check-x-unified .opencode/skills/fact-check-x-unified && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fact-check-x-unified" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/fact-check-x-unified into .opencode/skills/fact-check-x-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fact-check-x-unified", 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.
fact-check-x-unifiedFact-Check-X 流程编排能力,依次组织各方答案汇总、各方答案聚合(未核验)、权威核验后的最终答案和各方答案测评,生成可打开、可审计、可迁移的阶段产物与完整报告包。
Fact Check X Unified is an agent skill from sickn33/agentic-awesome-skills. Fact-Check-X 流程编排能力,依次组织各方答案汇总、各方答案聚合(未核验)、权威核验后的最终答案和各方答案测评,生成可打开、可审计、可迁移的阶段产物与完整报告包。
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/acceptance-criteria.md` and `references/contracts.md`).
It sits in Research & Science, covering Fact-checking and source verification. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1c7bdea. It shows what the files ask for, not the result of running them.
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.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fact Check X Unified loads about 1.7k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 246 words of instructions outside code blocks.
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.
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.
The full file from sickn33/agentic-awesome-skills at commit 1c7bdea, republished under its Apache-2.0 licence (© sickn33). 246 words, ~1,653 tokens.
.claude/skills/fact-check-x-unified/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.本技能只做编排,不内嵌三个业务层。它按以下顺序调用兄弟技能:
llm-answer-reference-compare:多平台回答、引用与现场存证采集。fact-check-x-knowledge-compare:本地知识点结构化对比,可选。fact-check-x-authoritative-verify:逐知识点并发权威核验与平台表现报告。所有语义拆解和证据裁决由当前承载技能的智能体完成。脚本不调用任何模型 API。
四个技能放在同一目录时可直接运行。也可设置:
export FACTCHECK_SKILLS_DIR="<四个技能的父目录>"检查依赖:
python3 scripts/fact_check_x.py locate先采集 results.json,然后准备知识点对比:
python3 scripts/fact_check_x.py prepare-comparison \
--results <results.json> \
--run-dir <run>命令会同步生成“各方答案汇总”,在运行目录顶层生成 01-capture-report.html。每个 deliverables 条目同时返回已验证存在的本机 path、标准 fileUri 和可直接展示的 markdownLink。调用方必须原样展示 markdownLink,不得自行拼接 Windows 路径或把 path 直接塞进 Markdown;产物不存在时命令会在当前阶段失败。
默认交互模式下,程序会把阶段状态写入 stage-checkpoints.json。调用方发送本阶段产物并收到用户“继续下一步”后,必须使用 checkpoint.acknowledgement.token 执行:
python3 scripts/fact_check_x.py acknowledge-stage \
--run-dir <run> --stage <checkpoint.stage> \
--token <checkpoint.acknowledgement.token> --decision continue未确认时,下一阶段命令会直接失败。即使用户最初要求完整连续执行,也必须依次展示每个阶段产物并取得确认;不存在可绕过确认的自动推进模式。
当前智能体读取 <run>/comparison-task.json,写入 <run>/comparison-analysis.json,再执行:
comparison-task.json 是自包含的紧凑工作集。阶段确认后只允许“读取任务包一次、写入分析一次、执行验收一次”,最多三次工具调用;不得读取技能源码、契约或完整 results.json 探路,不得打印或转储完整任务包。capturedText 只是有界原文预览,完整正文由程序在验收时从 results.json 校验和重建。
拆解时,原子性同时约束知识点和各平台 claim。一个原句包含多个独立义务、条件、对象、数值或后果时必须拆点,每个 claim 只保留当前事实;平台独有的实质新增事实也要另起无锚点知识点,不能并入宽泛知识点后复用深知晓锚点免查。每个知识点同时标明 claimType=fact|recommendation:纯操作建议可标为 recommendation,不因缺少逐句脚标而判引用不忠实;建议中包含的制度事实、条件、数字或时效必须拆成独立 fact。
python3 scripts/fact_check_x.py complete-comparison \
--results <results.json> \
--run-dir <run>命令会在运行目录顶层生成 02-comparison-report.html,并通过 deliverables[].markdownLink 返回可点击链接;调用方必须原样展示。报告必须包含明确标为“未核验”的综合草案。默认交互模式下,用户确认继续后才能进入权威核验。
生成每个知识点的独立云端请求并并发取证:
python3 scripts/fact_check_x.py prepare-authority --run-dir <run>
python3 scripts/fact_check_x.py search-authority --run-dir <run> --max-workers 12深知晓采集同时保留回答内逐句脚标和“知识专库”中的回答级来源;相同 URL 合并为 inline_and_global。回答级来源只有经当前知识点逐条语义匹配且原文可定位时才可支持该事实,不得整库继承。知识点已有深知晓/深知晓(深度溯源)本次回答所附的官方材料,或其他平台本次回答所附的 gov.cn 材料,且原文确实支持当前事实主张时,直接复用为官方证据,不调用可信搜索。纯操作建议同样不调用可信搜索;除此之外,已有材料不足以裁决的事实知识点才是非免查知识点。
若存在非免查知识点但本机尚无可信搜索配置,prepare-authority 和 search-authority 会返回 status=configuration_required、userPrompt 与 configuration.command 并以非零状态退出。调用方先展示登录提示,再前台执行该命令。用户只需在自动打开的深知 MaaS 页面完成登录;组件会自动复用已有完整 Key,没有时创建 Fact-Check-X 专用 Key,验证后保存到 ~/.fact-check-x/credentials/trusted-search-key。Codex、Claude Code、WorkBuddy 等载体共享该配置,检测到已有 Key 时直接跳过登录。配置成功后调用方自动重跑 prepare-authority,不得要求用户复制 Key、编辑 shell 配置、回复“已配置”,也不得改用深知晓来源或普通搜索绕过。
只有可信搜索返回 401/403 时才把现有 Key 视为失效并进入自动配置。超时、断网或服务异常保留现有配置并自动重试;重试后仍失败则停留在搜索阶段返回技术错误,不要求用户重新登录,也不转成人工事实复核。
prepare-authority 会写入 authority-gate.json。只有可信搜索批次正常完成、门禁状态变为 searched 后,finalize-authority 才允许运行;手工写 evidence 或 result 不能绕过。
当前智能体逐个读取 authority/requests 与 authority/evidence,把裁决写入 authority/assessments/<知识点ID>.json,然后:
免查模式下,trustedAnchor.officialAnswer 是当前事实知识点的权威结论;锚点证据列表用于来源追溯。无论来自深知晓还是 gov.cn,都必须确认已捕获正文实际支持该结论,不得仅凭官方属性自动判定。trustedAnchor.claimEvidenceMap 记录各平台已经逐主张绑定的官方原文;命中该映射的平台直接复用本次回答自带证据,不得因另一轮可信搜索未召回同一材料而降为证据不足。其他平台主张与 officialAnswer 语义一致或可由其直接推出时,裁决为 supported 并引用有效锚点证据 ID。仅当平台主张增加了权威结论不能支持的实质事实,或确实无法判定时,才使用 insufficient。知识点对比阶段的引用忠实性与本阶段的事实正确性分别保留,不能因平台自身引用不足而拒绝判断已经被权威结论证实的主张。recommendation 作为“操作建议”单独展示,不进入事实准确率或幻觉率;若权威证据证明建议会误导,仍可判为 contradicted。
{
"authoritativeFinding": "由权威证据支持的知识点结论",
"verdicts": {
"<平台ID>": {
"verdict": "supported",
"reason": "主张与 E1 一致",
"evidenceIds": ["E1"]
}
}
}verdict 只能使用 supported、contradicted 或 insufficient,证据 ID 必须存在于当前 evidence 文件中。旧式顶层 verdict、officialAnswer、platformAssessment 会被拒绝。
python3 scripts/fact_check_x.py finalize-authority --run-dir <run>第三步完成后如需修正 assessment,禁止手工清空结果或修改 gate。先执行 python3 scripts/fact_check_x.py reopen-authority --run-dir <run> --reason "<原因>";程序校验锁定摘要并归档旧裁决后回退到 searched,再修改 assessment、重新 finalize-authority 并重新确认第三步产物。
finalize-authority 生成“权威核验后的最终答案”,只将证据充分的直接知识点纳入 finalAnswer,将补充参考单独写入 supplementalFindings,将证据不足项写入 evidenceGaps。第三步只展示直接答案、证据边界和简洁来源索引;逐知识点裁决与评分只在第四步展示。
finalize-authority 完成裁决后会独立生成 03-authority-report.html,并通过
deliverables 返回已验证的路径、文件 URI 和 markdownLink。调用方必须原样展示 markdownLink;默认交互模式下,
只有状态为 completed 且用户确认继续后才执行:
python3 scripts/fact_check_x.py deliver --results <results.json> --run-dir <run>可信搜索返回 no_evidence 时记录为 insufficient_evidence:空结果只表示本次没有取得可裁决材料,不能直接判成“编造”;证据边界记录完成后继续生成后续报告。
deliver 必须在运行目录顶层生成并返回四份独立可读报告:
01-capture-report.html:各方答案汇总;02-comparison-report.html:各方答案聚合(未核验);03-authority-report.html:权威核验后的最终答案、权威证据和证据边界;04-final-report.html:各方答案测评报告。deliver 只能读取第三步已锁定的 verification.json 和 03-authority-report.html;任一文件摘要变化都必须拒绝,不得重算或重写第三步。
缺少任一报告都不得生成或交付 05-complete-report-package.zip。
最终保留:
capture/results.json、capture/report.html、capture/report.md;comparison-task.json、comparison-analysis.json、comparison.json、comparison.html;authority/batch.json、verification.json、report.html、pipeline.json;05-complete-report-package.zip。知识点对比是可选能力。已有结构化知识点时,可按权威证据核验模块的数据契约直接建立单知识点请求,独立调用 fact-check-x-authoritative-verify。统一入口不会强迫用户先采集多个 AI 回答。
python3 tests/smoke_test.py
python3 "${CODEX_HOME:-$HOME/.codex}/skills/.system/skill-creator/scripts/quick_validate.py" .完整标准见 [验收标准]。
User: Apply this skill to my current task.
Assistant: Follow the workflow in this skill, cite limitations, and ask before risky steps.© sickn33, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 11 other files (scripts, references) in skills/fact-check-x-unified of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1c7bdea
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Fact Check X Unified 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fact Check X Unified this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Perplexity Web Searchdavila7/claude-code-templates | 33k | 11 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Citation Verification GuideGalaxy-Dawn/claude-scholar | 5.7k | 2 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Article Fact Checkerdigoal/blog | 8.6k | — | ~939 | Automated safety check: Pass | GPL-2.0 | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Docs Grounding Verifiermicrosoft/apm | 4k | — | ~1.9k | Automated safety check: Pass | MIT |
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
Galaxy-Dawn/claude-scholar
Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.
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 —…
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
microsoft/apm
A skill your agent uses to verify CLAIM-LEVEL grounding of a documentation page (or set of pages) against the source code.
bradygaster/squad
Review and validate claims using counter-hypothesis testing.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
Fact-Check-X 流程编排能力,依次组织各方答案汇总、各方答案聚合(未核验)、权威核验后的最终答案和各方答案测评,生成可打开、可审计、可迁移的阶段产物与完整报告包。. Fact Check X Unified is an agent skill from sickn33/agentic-awesome-skills.
Fact Check X Unified fits situations like: tasks that involve Fact-checking and source verification.
Run `npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a claude-code`. Or copy the skill folder (skills/fact-check-x-unified in sickn33/agentic-awesome-skills) into .claude/skills/fact-check-x-unified in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a codex`. Or copy the skill folder (skills/fact-check-x-unified in sickn33/agentic-awesome-skills) into .agents/skills/fact-check-x-unified in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill fact-check-x-unified -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fact-check-x-unified, .gemini/skills/fact-check-x-unified, .github/skills/fact-check-x-unified and .opencode/skills/fact-check-x-unified in your project.
Going by SKILL.md and its folder, Fact Check X Unified needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
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.
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.
Fact Check X Unified is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.6k 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 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Fact Check X Unified: Perplexity Web Search (davila7/claude-code-templates, 33k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Article Fact Checker (digoal/blog, 8.6k stars) and Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,443 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 10, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.