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 RudyCity/superagent --skill competitive-landscapegit clone --depth 1 https://github.com/RudyCity/superagentWrote 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/rudycity/superagent/competitive-landscape)<a href="https://agentmods.dev/skills/rudycity/superagent/competitive-landscape"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/competitive-landscape/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/rudycity/superagent/competitive-landscape"><img src="https://agentmods.dev/badge/skills/rudycity/superagent/competitive-landscape.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 | $0.00059 | $0.02554 |
| Opus 5 | $0.00030 | $0.01277 |
| Sonnet 5 | $0.00012 | $0.00511 |
| Haiku 4.5 | $0.00006 | $0.00255 |
Grade A, and why
competitive-landscape 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 — 515 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Landscape Analysis
Comprehensive frameworks for analyzing competition, identifying differentiation opportunities, and developing winning market positioning strategies.
Overview
Understand competitive dynamics using proven frameworks (Porter's Five Forces, Blue Ocean Strategy, positioning maps) to identify opportunities and craft defensible competitive advantages.
Porter's Five Forces
Analyze industry attractiveness and competitive intensity.
Force 1: Threat of New Entrants
Barriers to Entry:
- Capital requirements
- Economies of scale
- Switching costs
- Brand loyalty
- Regulatory barriers
- Access to distribution
- Network effects
High Threat: Low barriers, easy to enter (e.g., simple SaaS tools) Low Threat: High barriers (e.g., regulated industries, hardware)
Analysis Questions:
- How easy is it for new competitors to enter?
- What would it cost to launch a competing product?
- Are there network effects or switching costs protecting incumbents?
Force 2: Bargaining Power of Suppliers
Supplier Power Factors:
- Supplier concentration
- Availability of substitutes
- Importance to supplier
- Switching costs
- Forward integration threat
High Power: Few suppliers, critical inputs (e.g., cloud infrastructure providers) Low Power: Many alternatives, commoditized (e.g., generic services)
Analysis Questions:
- Who are our critical suppliers?
- Could they raise prices or reduce quality?
- Can we switch suppliers easily?
Force 3: Bargaining Power of Buyers
Buyer Power Factors:
- Buyer concentration
- Volume purchased
- Product differentiation
- Price sensitivity
- Backward integration threat
High Power: Few large customers, standardized products (e.g., enterprise deals) Low Power: Many small customers, differentiated product (e.g., consumer subscriptions)
Analysis Questions:
- Can customers easily switch to competitors?
- Do few customers generate most revenue?
- How price-sensitive are buyers?
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 · 515 lines · 59 tokens per session scan A 2567fd2da617
competitive-landscape is a skill published in the GitHub repository RudyCity/superagent (21 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 2,554 once invoked, about $0.0003 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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