Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Amalia6767/curator-skills --skill verify-contentgit clone --depth 1 https://github.com/Amalia6767/curator-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/amalia6767/curator-skills/verify-content)<a href="https://agentmods.dev/skills/amalia6767/curator-skills/verify-content"><img src="https://agentmods.dev/badge/skills/amalia6767/curator-skills/verify-content/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/amalia6767/curator-skills/verify-content"><img src="https://agentmods.dev/badge/skills/amalia6767/curator-skills/verify-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.01019 |
| Opus 5 | $0.00026 | $0.00509 |
| Sonnet 5 | $0.00010 | $0.00204 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
verify-content scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Verify Content — 内容验证技能
对 AI 生成的内容进行溯源标注 + 交叉验证双重检查，识别幻觉、伪造信息和失真表述。
触发条件
用户在生成内容后，主动说出以下关键词之一：
- "验证" / "verify" / "核实" / "检查幻觉" / "fact check"
工作流程
Step 0: 确定验证目标
- 明确待验证内容：最近一次生成的文档或指定文件
- 明确原始资料：生成该内容时所依据的源文件（用户提供的 PDF、DOCX、会议记录等）
- 如果不确定，询问用户：
- "需要验证哪个文件的内容？"
- "原始参考资料是哪些文件？"
Step 1: 溯源标注（Source Tracing）
由当前模型执行。 逐条审查待验证内容中的每一个事实性陈述：
- 重新阅读所有原始资料（使用 Read 工具），不依赖记忆
- 对待验证内容中的每个事实性断言，在原始资料中寻找对应出处
- 为每条断言标注以下状态之一：
| 状态 | 含义 |
|---|---|
| ✅ 有据 | 在原始资料中找到明确对应内容 |
| ⚠️ 推断 | 原始资料有相关信息，但该表述是推断或概括，非直接引用 |
| ❌ 无据 | 在原始资料中找不到任何对应内容，可能是幻觉 |
| 🔄 变形 | 原始资料有相关内容，但数字、名称或含义存在偏差 |
- 汇总产出溯源标注表
Step 2: 交叉验证（Cross Verification）
启动一个独立子模型（subagent）执行。 该子模型不会看到 Step 1 的结果，从而实现独立验证。
使用 Task 工具启动子模型，prompt 需包含：
你是一个事实核查员。你的任务是验证一份文档的准确性。
【原始资料路径】
{列出所有原始资料的文件路径}
【待验证文档路径】
{待验证文档的路径}
请执行以下步骤：
1. 使用 Read 工具完整阅读所有原始资料
2. 使用 Read 工具阅读待验证文档
3. 逐条检查待验证文档中的每一个事实性陈述（数字、名称、日期、面积、描述等）
4. 对每条陈述判断：是否与原始资料一致？是否存在偏差？是否无中生有？
输出格式：
对每条有问题的陈述，输出：
- 【原文摘录】：待验证文档中的原文
- 【问题类型】：数字错误 / 名称错误 / 无中生有 / 含义偏差 / 遗漏关键信息
- 【原始资料原文】：对应的原始资料内容（如有）
- 【说明】：简要解释问题所在
如果所有内容均准确，输出："全部内容核实通过，未发现事实性错误。"
Step 3: 合并生成验证报告
合并 Step 1 和 Step 2 的结果，生成最终验证报告：
-
交叉比对两轮检查的发现：
- 两轮都标记有问题 → 高置信度问题
- 仅一轮标记有问题 → 待确认问题，列出两方结论供用户判断
- 两轮都未发现问题 → 通过
-
按照模板输出报告（见 report-template.md）
-
将报告保存在待验证文档的同目录下，命名为
{原文件名}_验证报告.md
关键原则
- 不信任记忆：验证时必须重新 Read 原始文件，不能依赖之前对话中的记忆
- 独立性：交叉验证的子模型不应看到溯源标注的结果
- 保守判断：宁可多标记"待确认"，不要漏掉可疑内容
- 只查事实：不验证观点、建议、创意等主观内容，只验证事实性陈述
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 92 lines · 52 tokens per session scan A 9cf0701c3b65
verify-content is a skill published in the GitHub repository Amalia6767/curator-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 1,019 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
shortfilm-prompt
Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell…
simp
A relationship-advice skill that helps interpret signals, plan respectful approaches, and write sincere messages for someone you like.
packaging-workshop
A final presentation review for finished Chinese content. It works on the title, opening, layout, punctuation, images, and platform format without changing the main body.
chinese-write-checker
A Chinese-language review process for checking an article from an editor's, reader's, writer's, and publishing platform's viewpoints.
voice-dissolver
A writing-analysis skill that identifies the author's real voice before any rewriting. It marks distinctive passages to preserve and can ask questions to clarify the intended feeling, stance, and audience.
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).