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 kelegele/oh-my-pm --skill competitive-analysisgit clone --depth 1 https://github.com/kelegele/oh-my-pmWrote 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/kelegele/oh-my-pm/competitive-analysis)<a href="https://agentmods.dev/skills/kelegele/oh-my-pm/competitive-analysis"><img src="https://agentmods.dev/badge/skills/kelegele/oh-my-pm/competitive-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/kelegele/oh-my-pm/competitive-analysis"><img src="https://agentmods.dev/badge/skills/kelegele/oh-my-pm/competitive-analysis.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 | $0.00108 | $0.01825 |
| Opus 5 | $0.00054 | $0.00912 |
| Sonnet 5 | $0.00022 | $0.00365 |
| Haiku 4.5 | $0.00011 | $0.00183 |
Grade A, and why
competitive-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 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analysis
When to Use
- User mentions competitor names or asks "what do competitors offer" (e.g. "What features do ClickUp and Asana have that we don't?")
- Comparing features between products ("does X have feature Y?", "Do competitors offer dark mode?")
- Evaluating market differentiation for a new feature, or preparing product positioning / strategy documents
- User says things like "competitive analysis", "market research", "competitor comparison" (e.g. "How does our pricing compare to Stripe and Braintree?" →
feature_focus="pricing")
Execution Methodology
本 skill 生成竞品情报：竞品有什么功能、强在哪里、差异化机会在哪里，输出服务于功能优先级排序与产品定位。具体执行方法论（竞品识别与映射、多源采集与交叉验证、对比矩阵构建与 parity 评分、差距分析与战略机会识别框架、各 analysis_depth 的执行细节、Markdown 报告模板）：独立使用时按本文件契约执行并输出；Claude Code 宿主由 competitive-analyst subagent 承载，见末尾 Execution Profile。
Anti-Hallucination Rules (Self-Contained)
The following rules are mandatory for this skill. They are inlined here for standalone installation compatibility.
1. Mandatory Search First
输出任何竞品数据前必须先使用 WebSearch/WebReader 访问竞品官网或文档。
- 禁止仅凭训练记忆输出任何具体数据（功能列表、定价、用户数据等）
- 每个数据点必须来自实际搜索和访问的页面
- 搜索查询应包含年份，例如
Notion pricing 2025 2026
2. Every Claim Must Have a Source
每个功能声明、定价、用户评价必须有 URL 来源。
- 没有来源 = 不得写入
- 来源格式：
{ "claim": "...", "source": "https://...", "source_name": "...", "fetched_at": "..." }
3. Unknown is Acceptable
无法确认的功能标注 "Unknown"，禁止编造。标注未知是诚实，不是失败。
4. Confidence Rating
每个功能声明标注 confidence (high/medium/low)。
high: 官方文档、财报、权威报告medium: 竞品官网、行业报告、可靠媒体low: 社区讨论、博客、推测性分析
5. Distinguish Fact from Inference
明确区分已验证功能和推断。推断必须标注 basis 和 confidence。
6. Quality Gate (Non-negotiable)
以下任一条未满足，不得输出结果：
- 所有具体功能/定价/趋势声明都有来源 URL
- 无法验证的数据已标注 "Unknown"
- 每个数据点标注了 confidence 等级
- facts 和 inferences 已明确区分
- 搜索记录已附在输出中
Search Record
每个分析输出必须附带搜索记录：{ "search_queries_used": [...], "sources_accessed": [{ "url": "...", "title": "...", "used_for": "..." }] }
Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
competitors |
list | Yes | Competitor products or company names to analyze |
feature_focus |
string | No | Specific feature area to focus on (e.g., "pricing", "user management") |
analysis_depth |
string | No | overview (quick), detailed (standard, default), or deep-dive (comprehensive) — 各深度执行细节由 agent 承载 |
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 · 130 lines · 108 tokens per session scan A e1bcba24737b
competitive-analysis is a skill published in the GitHub repository kelegele/oh-my-pm (4 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 1,825 once invoked, about $0.0005 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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