Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/serejaris/kimi-skillsnpx agentmods add skills/serejaris/kimi-skills/competitive-seo-intelWrote 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/serejaris/kimi-skills/competitive-seo-intel)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/competitive-seo-intel"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/competitive-seo-intel/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/serejaris/kimi-skills/competitive-seo-intel"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/competitive-seo-intel.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 | $0.00125 | $0.02825 |
| Opus 5 | $0.00063 | $0.01412 |
| Sonnet 5 | $0.00025 | $0.00565 |
| Haiku 4.5 | $0.00013 | $0.00282 |
Grade A, and why
competitive-seo-intel 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.
How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
竞品分析
SEO & GEO 技能库 · 20 个 SEO + GEO 技能 · 一键安装全部：
npx skills add aaron-he-zhu/seo-geo-claude-skills
调研 · keyword-research · competitor-analysis · serp-analysis · content-gap-analysis
构建 · seo-content-writer · geo-content-optimizer · meta-tags-optimizer · schema-markup-generator
优化 · on-page-seo-auditor · technical-seo-checker · internal-linking-optimizer · content-refresher
监控 · rank-tracker · backlink-analyzer · performance-reporter · alert-manager
综合 · content-quality-auditor · domain-authority-auditor · entity-optimizer · memory-management
本技能提供对竞争对手 SEO 和 GEO 策略的全面分析，揭示你所在市场中哪些打法有效，并识别出超越竞争对手的机会。
适用场景
- 进入新市场或新细分领域
- 根据竞品的成功经验制定内容策略
- 理解竞争对手为何排名更高
- 发现外链建设和合作机会
- 识别竞争对手忽略的内容空白
- 分析竞品的 AI 引用策略
- 对标自身 SEO 表现
功能说明
- 关键词分析：识别竞争对手排名的关键词
- 内容审计：分析竞品的内容策略和内容形式
- 外链画像：评估竞品的外链建设方式
- 技术评估：评估竞品网站的技术健康度
- GEO 分析：识别竞品在 AI 回答中的出现方式
- 差距识别：发现竞品遗漏的机会
- 策略提炼：从竞品的成功中提取可执行的洞察
使用方法
基础竞品分析
Analyze SEO strategy for [competitor URL]
Compare my site [URL] against [competitor 1], [competitor 2], [competitor 3]
针对性分析
What content is driving the most traffic for [competitor]?
What ships with it
5 files 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 · 264 lines · 125 tokens per session scan A 39e413b13c09
competitive-seo-intel is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 125 tokens to every session and 2,825 once invoked, about $0.0006 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.
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