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 brainbytes-dev/everything-claude-marketing --skill competitive-analysisgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/competitive-analysis)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/competitive-analysis"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/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/brainbytes-dev/everything-claude-marketing/competitive-analysis"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/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 | $0.00025 | $0.03010 |
| Opus 5.5 | $0.00010 | $0.01204 |
| Sonnet 5.5 | $0.00005 | $0.00602 |
| Haiku 4.5 | $0.00003 | $0.00301 |
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 2mo 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analysis
When to Activate
- Entering a new market and need to understand the competitive landscape
- A new competitor enters your space or an existing one makes a significant move
- Preparing sales battlecards or competitive positioning
- Informing product roadmap decisions with competitive context
- Conducting a strategic planning exercise (annual planning, board prep)
- Win/loss rate declining and need to understand competitive dynamics
- Evaluating an acquisition target's competitive position
First Questions
- What is the specific competitive question you're trying to answer?
- Who are you competing against today? (Not who you think — who does sales actually face in deals?)
- What market or category are you analyzing?
- What decisions will this analysis inform? (Pricing, positioning, product roadmap, go-to-market)
- How much time do you have for this analysis? (Quick assessment vs. deep dive)
- What internal data do you have? (Win/loss data, sales call recordings, customer feedback)
- Is this a one-time analysis or an ongoing competitive intelligence program?
Competitive Landscape Mapping
Step 1: Identify All Competitors
Direct Competitors: Same product, same customer, same problem.
- These are the alternatives you most frequently encounter in deals.
- Usually 3-7 primary direct competitors.
Indirect Competitors: Different product, same customer, same problem.
- They solve the same problem in a fundamentally different way.
- Example: Zoom (video) vs. in-person meetings vs. phone calls.
Substitute Competitors: Non-consumption or DIY alternatives.
- Spreadsheets, manual processes, hiring someone, building internally.
- Often the biggest competitor, especially for new categories.
Potential Future Competitors: Companies that could enter your space.
- Adjacent players expanding their product scope.
- Platform companies adding features that overlap with your product.
- Well-funded startups in adjacent spaces.
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.
- 2mo ago First seen · 341 lines · 25 tokens per session scan A 8ed5f69d53fd
competitive-analysis is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 3,010 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
competitive-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| competitive-analysisbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 25 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |