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 agentmods add skills/t0moon/competitorsmart/52-presentationsnpx skills add t0moon/competitorsmart --skill 52-presentationsgit clone --depth 1 https://github.com/t0moon/competitorsmartWrote 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/t0moon/competitorsmart/52-presentations)<a href="https://agentmods.dev/skills/t0moon/competitorsmart/52-presentations"><img src="https://agentmods.dev/badge/skills/t0moon/competitorsmart/52-presentations.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.01278 |
| Opus 5 | $0.00014 | $0.00639 |
| Sonnet 5 | $0.00005 | $0.00256 |
| Haiku 4.5 | $0.00003 | $0.00128 |
Grade A, and why
演讲展示 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 6d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 6d ago First seen · 110 lines · 27 tokens per session scan A f2a8494dd68e
演讲展示 is a skill published in the GitHub repository t0moon/competitorsmart (24 stars, last pushed 4mo ago), with no licence file. It adds 27 tokens to every session and 1,278 once invoked, about $0.0001 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 2026-08-30.
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技能创建助手
创建、测试和迭代改进技能的开发指南，用于扩展 Claude 的专业知识、工作流程或工具集成。包含完整的 evaluate 体系：创建 skill 后可以跑测试用例、量化评分、迭代优化 description。.
knowledge-absorber
深度解析链接/文档/代码，生成导师级教学笔记 + Wan 2.7 知识海报。 Use when user asks to: 学习、分析、解读、整理、吸收、读懂 任何文档或代码 Trigger keywords: 学习、分析、知识卡片、知识海报、解读文档、整理笔记、知识库、存入知识库 支持 PDF/Word/Markdown/代码/图片，自动真理锚定验证，国学内容自动水墨风格。 When user provides: URL链接、文件路径、代码文件、图片 → 生成知识卡片 When user says: "生成海报"、"知识海报" → 额外生成 Wan 2.7 信息图.
论文讲解助手
将学术论文PDF转化为结构化、可视化的精讲文档。 触发场景: (1) 用户提供PDF论文文件并要求讲解/分析 (2) 用户询问"帮我讲解这篇论文"、"分析这个PDF" (3) 用户需要提取论文的核心方法、实验结果 (4) 用户希望生成论文的可视化HTML摘要 支持: AI/ML、CV、NLP、系统、理论等计算机科学领域论文.
tech-docs-guard
评估 CANN 算子仓的「进阶教程 / 开发指南」类文档质量——通读文档 + 对照算子代码静态查证(默认不跑),按五轴(找得到/信得过/学得会/可操作/读得懂)找出 漏讲/讲不清/过时/对不上代码/概念讲错,产出带证据与改进建议的体检报告(MD + HTML)。涉及「评进阶教程 / 开发指南文档质量 / 文档对不对得上代码 / 教程审稿 / tutorial 体检 / 文档信不信得过」等意图时使用。只评不改不跑,只对着文档与代码出诊断。.