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 The-AI-Directory-Company/agents-and-skills --skill competitive-analysisgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-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/the-ai-directory-company/agents-and-skills/competitive-analysis)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/competitive-analysis"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/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/the-ai-directory-company/agents-and-skills/competitive-analysis"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/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 | $0.00027 | $0.01482 |
| Opus 5 | $0.00014 | $0.00741 |
| Sonnet 5 | $0.00005 | $0.00296 |
| Haiku 4.5 | $0.00003 | $0.00148 |
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 8d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analysis
Before you start
Gather the following from the user:
- What is your product/service? (One-sentence description and primary value proposition)
- Who are your known competitors? (Direct and indirect — list at least 3)
- What market segment? (Enterprise, SMB, consumer, developer tools, etc.)
- What decision are you informing? (Pricing, positioning, feature roadmap, GTM strategy, fundraising)
- What data sources are available? (Public websites, G2/Capterra reviews, pricing pages, job postings, SEC filings)
If the user says "we have no competitors," push back: "Every product competes with something — even if it's spreadsheets, manual processes, or doing nothing. Who are customers using today to solve this problem?"
Competitor identification
Start by mapping the competitive landscape into three tiers.
| Tier | Definition | Example |
|----------|--------------------------------------------------------|-----------------------|
| Direct | Same problem, same customer segment, same approach | Competitor A vs You |
| Indirect | Same problem, different approach or different segment | Spreadsheets, agencies|
| Adjacent | Different problem today, could expand into your space | Platform with overlap |
List 3-5 direct competitors, 2-3 indirect, and 1-2 adjacent. For each, capture:
| Competitor | Tier | Founded | Funding/Revenue | HQ | Est. Customers |
|---------------|----------|---------|-----------------|----------|----------------|
| Competitor A | Direct | 2019 | $50M Series B | SF, USA | ~5,000 SMBs |
| Competitor B | Direct | 2017 | $120M ARR | London | ~2,000 Ent. |
| Manual process| Indirect | N/A | N/A | N/A | Everyone else |
Feature comparison matrix
Compare features that matter for the purchase decision. Use a clear rating system.
Rating: Y = Yes | P = Partial | N = No | ? = Unknown
| Feature | Your Product | Comp A | Comp B | Comp C |
|---------------------|-------------|--------|--------|--------|
| Core feature 1 | Y | Y | P | N |
| Core feature 2 | Y | Y | Y | Y |
| Integration X | P | Y | N | Y |
| Self-serve onboard | Y | N | Y | N |
| Enterprise SSO | N | Y | Y | Y |
| API access | Y | Y | P | N |
What ships with it
2 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.
- 8d ago First seen · 137 lines · 27 tokens per session scan A aa7234cc9dd4
competitive-analysis is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,482 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 2026-09-03.
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