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 aAAaqwq/AGI-Super-Team --skill content-ops-toolkitgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/content-ops-toolkit)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-ops-toolkit"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-ops-toolkit/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/aaaaqwq/agi-super-team/content-ops-toolkit"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-ops-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.02834 |
| Opus 5 | $0.00022 | $0.01417 |
| Sonnet 5 | $0.00009 | $0.00567 |
| Haiku 4.5 | $0.00004 | $0.00283 |
Grade A, and why
content-ops-toolkit 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
内容运营方法论工具箱
MediaClaw 内容运营标准化方法库
核心理念
先跑通，再精修。不要一上来追求完美。
- 选最接近的模板 → 替换占位符 → 先跑一版 → 看输出补限制条件
- 不写5000字宪法，写能今天就用的东西
默认作者
Skill 作者: Daniel Li
文章作者: 由调用方指定。未指定时留空（不自动填充）。
方法一: 选题竞争分析
适用场景
写作前判断一个方向是否已被写烂、是否还有差异化空间。
7 角度分类框架
入门科普 | 深度测评 | 个人经验 | 数据报告 | 争议观点 | 商业变现 | 工作流实战
执行步骤
- 用 Perplexity 或 Exa 搜索
[关键词]相关文章，找出前 20 篇代表性内容 - 按上述 7 个角度分类每篇文章
- 统计各角度占比（百分比）
- 判断: 哪些方向已经拥挤（占比 > 30%）→ 哪些仍有空间（占比 < 10%）
- 给出 3 个差异化切入点，每个附一个可直接使用的标题方向
输出格式
📊 角度分布:
入门科普: 40% (8篇) ← 拥挤
深度测评: 20% (4篇)
工作流实战: 5% (1篇) ← 空白
...
🔴 拥挤方向: [列表]
🟢 空白方向: [列表]
💡 3个差异化切口:
1. [切入点] → 标题: "[标题建议]"
2. [切入点] → 标题: "[标题建议]"
3. [切入点] → 标题: "[标题建议]"
配合工具 — Web Search 工具链
| 工具 | 用途 | 适用场景 |
|---|---|---|
| Perplexity | AI搜索引擎，返回带引用的结构化答案 | 深度调研、事实核查、趋势分析、竞争分析 |
| Exa | 语义搜索引擎，按相关性排序 | 查找相似文章、竞品内容分析、领域内趋势文章 |
| Brave Search | 传统关键词搜索 | 补充搜索、验证信息 |
| web_fetch | 抓取页面内容 | 深度阅读具体文章做分析 |
工具链调用顺序：
1. Perplexity → "当前 [关键词] 领域的热门话题和趋势"
→ 获取宏观概览和引用来源
2. Exa → 语义搜索 "[关键词]" 相关高质量文章
→ 获取竞品内容列表和URL
3. Brave Search → 补充关键词变体搜索
→ 覆盖长尾和细分方向
4. web_fetch → 抓取 Top 5 文章内容
→ 做深度分析（角度分类、差异化判断）
方法二: 标题生成 + 5 维评分
适用场景
文章写完后，批量生成标题并量化评分选最优。
标题 4 类型
教程型 → "3步搞定XXX" / "XXX从入门到精通"
观点型 → "为什么XXX是错的" / "我为什么不XXX"
反差型 → "月入10万但XXX" / "被骂上热搜后我发现XXX"
结果型 → "用了30天后数据翻了5倍" / "从0到1万粉的真实路径"
5 维评分体系（每维满分 10 分）
| 维度 | 权重 | 评分标准 |
|-------------|------|----------------------------------|
| 点击欲望 | 30% | 看到标题是否想点进去 |
| 信息密度 | 20% | 标题是否传递了实质性信息 |
| 清晰度 | 15% | 读者能否一眼看懂 |
| 差异化 | 20% | 和同类标题是否有明显区别 |
| 正文匹配度 | 15% | 标题是否准确反映正文内容（非标题党） |
执行步骤
- 读取正文摘要
- 生成 12 个标题（4类 × 3个）
- 对每个标题按 5 维打分
- 加权计算总分 = 点击欲望×0.3 + 信息密度×0.2 + 清晰度×0.15 + 差异化×0.2 + 正文匹配×0.15
- 选出 Top 3 并说明推荐理由
方法三: 多平台内容适配
适用场景
同一篇内容改写成多个平台版本，一键多分发。
平台适配标准
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.
- 5d ago First seen · 270 lines · 44 tokens per session scan A c37e820f0c01
content-ops-toolkit is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 2,834 once invoked, about $0.0002 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 2026-09-05.
Other skills, from other repositories
deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
root-cause
Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.
guidance
Add, edit, or audit guidance docs. Default writes guidance for Claude (.claude/guidance/, Markdown, moflo universal rules). -h writes for human readers (docs/, lighter ruleset). --html emits HTML with a minimal default stylesheet instead of Markdown. -a audits the .claude/guidance/ directory.
eldar
Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…
aigon-next
Suggest the most likely next workflow action based on current context.
review-deep
Drive the deep-review phase of an automated PR review. Consumes the walkthrough, runs the deterministic deep-review workflow (parallel lenses → adversarial validation → code-enforced threshold/caps), drafts the surviving findings, and completes the review run.