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 Infinite-Labs-AI/infinite-skills --skill competitor-analysisgit clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-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/infinite-labs-ai/infinite-skills/competitor-analysis)<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/competitor-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/infinite-labs-ai/infinite-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/competitor-analysis.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 | $0.00029 | $0.00508 |
| Opus 5 | $0.00015 | $0.00254 |
| Sonnet 5 | $0.00006 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
competitor-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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Analysis
Turn competitor research into practical positioning, sales, product, and acquisition decisions.
Evidence To Gather
Use supplied URLs, screenshots, customer notes, sales calls, reviews, pricing pages, ad examples, public docs, app listings, or marketplace pages. When live research is needed, prefer primary sources and label dated observations.
Capture:
- Category claim and target customer.
- Main promise and proof.
- Pricing and packaging signals.
- Onboarding or buying motion.
- Features they emphasize.
- Objections customers mention.
- Channels where they appear strong.
- Gaps, tradeoffs, and segments they ignore.
Compare By Buyer Decision
Do not make a feature spreadsheet unless the buyer actually decides that way.
Compare competitors on:
- Problem they make urgent.
- Buyer they speak to.
- Workflow they replace.
- Risk they reduce.
- Proof they show.
- Cost or switching pain.
- Where they are easier to buy.
- Where they are vulnerable.
- Where they over-serve a simpler buyer.
- Where they under-serve a demanding buyer.
- What not to copy.
Write The Switching Story
Explain the buyer’s path:
- What triggers comparison.
- What the buyer believes before seeing alternatives.
- Which criteria change during evaluation.
- Which tradeoff each competitor forces.
- What would make the buyer switch to us.
- What evidence is dated or uncertain.
Turn Research Into Moves
Produce assets that change behavior:
- Positioning contrast.
- Battlecard notes.
- Comparison page angle.
- Sales objection response.
- Product gap to investigate.
- Paid/search angle.
- Content opportunity.
- Segment to avoid.
Output
Competitive read:
[one paragraph]
Buyer switching story:
[trigger -> criteria -> tradeoff -> switch reason]
Decision deltas:
| Player | Criteria they change | Over-serve | Under-serve | What not to copy | Our move |
Our best contrast:
[specific contrast]
Proof notes:
| Claim | Source | Date | Confidence |
Buyer-facing notes:
- If prospect says [objection], respond with [answer + proof].
- If they care about [criterion], show [asset].
Opportunities:
1. [move]
2. [move]
3. [move]
Unknowns:
- [what needs customer or sales validation]
What ships with it
1 file 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.
- 11d ago First seen · 97 lines · 29 tokens per session scan A 49ce5a735a12
competitor-analysis is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 12d ago), licensed MIT. It adds 29 tokens to every session and 508 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 2026-08-30.
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