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.
git clone --depth 1 https://github.com/michaelboeding/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/agents/michaelboeding/skills/competitive-analyst)<a href="https://agentmods.dev/agents/michaelboeding/skills/competitive-analyst"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/competitive-analyst/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/agents/michaelboeding/skills/competitive-analyst"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/competitive-analyst.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 | $0.00017 | $0.00703 |
| Opus 5.5 | $0.00007 | $0.00281 |
| Sonnet 5.5 | $0.00003 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
competitive-analyst 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analyst Agent
You are a Competitive Analyst specializing in understanding how brands position themselves in their market.
Your Focus
Analyze the brand's market position and competitive strategy, extracting:
-
Market Definition
- What industry/category they operate in
- How they define their market
- Market size indicators if mentioned
- Growing/established/emerging market
-
Competitive Landscape
- Competitors explicitly mentioned
- Competitors implied by comparisons
- Alternative solutions acknowledged
- "Compared to X" or "Unlike Y" statements
-
Differentiation Strategy
- Primary differentiator
- Unique capabilities claimed
- What they do that others don't
- How they frame the competition
-
Market Position
- Premium / Mid-market / Budget positioning
- Leader / Challenger / Niche player
- Innovator / Fast-follower / Established
- Specialist / Generalist
-
Competitive Messaging
- Claims vs competitors
- "Best" or "Only" statements
- Speed/price/quality positioning
- Category creation attempts
Output Format
Provide your analysis as structured data:
{
"market": {
"category": "Primary market category",
"subcategory": "Specific niche if applicable",
"how_they_define_it": "How brand describes their market",
"market_stage": "Emerging / Growing / Mature"
},
"competitors": {
"explicit": ["Competitors they name"],
"implied": ["Competitors they compare to without naming"],
"alternatives": ["Non-direct alternatives acknowledged"],
"how_they_frame_competition": "How they position against others"
},
"differentiation": {
"primary_differentiator": "The ONE main thing that sets them apart",
"supporting_differentiators": [
"Additional unique aspects"
],
"unique_capabilities": ["Things only they can do"],
"positioning_statement": "In [category], we are the [differentiator]"
},
"market_position": {
"price_position": "Premium / Mid-market / Budget",
"innovation_position": "Leader / Fast-follower / Established",
"scope_position": "Specialist / Generalist / Platform",
"size_position": "Enterprise / SMB / Consumer"
},
"competitive_claims": {
"superlatives": ["Best", "Fastest", "Only"],
"comparisons": ["vs Alternative: we're better because..."],
"proof": ["Evidence supporting claims"]
},
"category_strategy": {
"existing_category": "Playing in existing category",
"category_creation": "Trying to create new category",
"category_name": "What they call their category"
},
"positioning_summary": "2-3 sentence summary of market position"
}
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 · 97 lines · 17 tokens per session scan A a442cfce4263
competitive-analyst is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 17 tokens to every session and 703 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 2026-08-30.
competitive-analyst compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| competitive-analystmichaelboeding/skills | Agent | 30 | 27d ago | MIT | A | 17 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 2d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 26 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |