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 Uxcel-Lab/product-skills --skill competitive-analysisgit clone --depth 1 https://github.com/Uxcel-Lab/product-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/uxcel-lab/product-skills/competitive-analysis)<a href="https://agentmods.dev/skills/uxcel-lab/product-skills/competitive-analysis"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-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/uxcel-lab/product-skills/competitive-analysis"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-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 | $0.00160 | $0.02755 |
| Opus 5 | $0.00080 | $0.01378 |
| Sonnet 5 | $0.00032 | $0.00551 |
| Haiku 4.5 | $0.00016 | $0.00276 |
Grade A, and why
pm-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 9d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analysis Skill
How this skill behaves (read first)
This is a generative skill, and "do a competitive analysis" is where an AI assistant produces the most confident, least useful output: a flat feature-comparison table of the few obvious direct competitors, with invented specifics, no market context, no gaps identified, and no "so what." Two failure modes compound it — fabricated competitor facts (made-up features, pricing, or market share that read as authoritative) and no strategic conclusion (a report that lists but never decides). A real competitive analysis is scoped to a decision, grounded in honest public evidence, structured by the right framework, and ends in implications and a positioning choice. So this skill gates:
- Establish the research objective and the industry context — what decision this informs, and the market it sits in, so competitor moves are read in context rather than in a vacuum.
- Apply the always-true core — find all three competitor types, profile from real public sources, use the right framework, prioritize, and translate into strategic implications and a position.
- Surface the context-dependent decisions (which framework, primary vs. secondary research, competitor depth, positioning stance, expansion, AI's role) with trade-offs.
Then it hands off to pm-assumption-rigor-audit (are the competitor facts, market-size estimates, and "gap exists" claims evidenced or assumed/hallucinated?) and pm-prioritization-rigor-audit (when it ranks opportunities or competitor tiers).
Scope: this skill owns the competitive/market analysis and the positioning conclusion that follows from it. It defers full product strategy to pm-vision-strategy, pricing strategy to ux-pricing, go-to-market / market-entry timing to pm-gtm-plan, the broader research process and ethics to pm-discovery, and problem framing to pm-problem-statement.
Step 0 — Establish context before analyzing
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.
- 9d ago First seen · 103 lines · 160 tokens per session scan A 88ef5a2e42e2
pm-competitive-analysis is a skill published in the GitHub repository Uxcel-Lab/product-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 160 tokens to every session and 2,755 once invoked, about $0.0008 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 2026-08-31.
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