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 seaworld008/Commonly-used-high-value-skills --skill competitors-analysisgit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/competitors-analysis)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/competitors-analysis"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/competitors-analysis/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/seaworld008/commonly-used-high-value-skills/competitors-analysis"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/competitors-analysis.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 | $0.00023 | $0.02052 |
| Opus 5 | $0.00012 | $0.01026 |
| Sonnet 5 | $0.00005 | $0.00410 |
| Haiku 4.5 | $0.00002 | $0.00205 |
Grade A, and why
competitors-analysis 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 4d 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitors Analysis
Evidence-based competitor tracking and analysis. All analysis must be based on actual code, never assumptions.
When to Use
Use this skill when the user wants to:
- analyze a competitor repository with evidence
- create or update a competitor profile
- compare a competing product's technical stack or architecture
- track competitor changes over time using cloned code
Usage
Recommended flow:
clone repo locally
-> inspect source files and metadata
-> cite every factual claim
-> write profile from evidence only
-> run post-analysis verification
CRITICAL: Evidence-Based Analysis Only
在开始分析之前，必须完成以下检查：
Pre-Analysis Checklist
- 仓库已克隆到本地
~/Workspace/competitors/{product}/ - 可以
ls查看目录结构 - 可以
cat package.json(或等效配置文件) 读取版本信息 - 可以
git log -1确认代码是最新的
如果以上任何一项未完成，停止分析，先完成克隆操作。
Forbidden Patterns (禁止的表述)
| 禁止 | 原因 |
|---|---|
| "推测..."、"可能..."、"应该..." | 没有证据支持 |
| "架构图（推测版）" | 必须基于实际代码 |
| "未公开"、"未披露" | 如果不知道就不要写 |
| 不带来源的技术细节 | 无法验证 |
Required Patterns (必须的表述)
| 正确格式 | 示例 |
|---|---|
| 技术细节 + (来源: 文件:行号) | "使用 better-sqlite3 (来源: package.json:88)" |
| 直接引用 + 来源 | > "description text" (README.md:3) |
| 版本号 + 来源 | "版本 1.3.3 (package.json:2)" |
Analysis Workflow
Step 1: Clone Repository (必须)
# 创建产品竞品目录
mkdir -p ~/Workspace/competitors/{product-name}
# 克隆竞品仓库 (SSH，失败则重试)
cd ~/Workspace/competitors/{product-name}
git clone [email protected]:org/repo.git
网络问题处理: 中国网络环境可能需要多次重试。
Step 2: Gather Facts (收集事实)
按顺序读取以下文件，记录关键信息：
2.1 项目元数据
# Node.js 项目
cat package.json | head -20 # name, version, description
cat package.json | grep -A50 dependencies
# Python 项目
cat pyproject.toml # 或 setup.py, requirements.txt
# Rust 项目
cat Cargo.toml
2.2 项目结构
ls -la # 根目录结构
ls src/ # 源码目录
find . -name "*.md" -maxdepth 2 # 文档文件
2.3 核心模块
# 找到入口文件
cat main.js | head -50 # 或 index.js, app.py, main.rs
# 找到核心 helpers/utils
ls src/helpers/ 2>/dev/null || ls src/utils/ 2>/dev/null
What ships with it
4 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.
- 4d ago Changed · -41 tokens per session c581698651ec
- 12d ago First seen · 283 lines · 64 tokens per session scan A feb4a4825c79
competitors-analysis is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 2,052 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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