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 julianoczkowski/product-manager --skill pm-competitive-landscapegit clone --depth 1 https://github.com/julianoczkowski/product-managerWrote 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/julianoczkowski/product-manager/pm-competitive-landscape)<a href="https://agentmods.dev/skills/julianoczkowski/product-manager/pm-competitive-landscape"><img src="https://agentmods.dev/badge/skills/julianoczkowski/product-manager/pm-competitive-landscape/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/julianoczkowski/product-manager/pm-competitive-landscape"><img src="https://agentmods.dev/badge/skills/julianoczkowski/product-manager/pm-competitive-landscape.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 | $0.00112 | $0.00965 |
| Opus 5 | $0.00056 | $0.00483 |
| Sonnet 5 | $0.00022 | $0.00193 |
| Haiku 4.5 | $0.00011 | $0.00097 |
Grade A, and why
pm-competitive-landscape 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 12d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Landscape (Framework: Market → Competitive Landscape)
Identify competitive and alternative offerings in the market, assess their strengths
and weaknesses, and develop a strategy for winning. Frame the comparison universe
correctly — customers don't just choose between named competitors; "do nothing",
spreadsheets, and in-house builds are alternatives too. Analytical rule of thumb: know
when to fight and when to run. See ../pm-copilot/references/framework.md.
The Solution Matrix
Plot your products and competitors' products on a 2×2:
- X-axis — Impact to Customer: Low → High
- Y-axis — Depth of Investment: Low → High
| Quadrant | Investment / Impact | Meaning |
|---|---|---|
| Utilities | Low investment / Low impact | Keep the lights on; don't over-invest. |
| No Brainer | Low investment / High impact | Do these — best return. |
| Strategic Vision | High investment / High impact | Big bets that need a business case. |
| "Why?" | High investment / Low impact | Avoid — cost without customer value. |
Use the Solution Matrix to: assess incremental technology investment vs. relative market value with development; frame how the product improves operations when interviewing the market; position against the competition; price products; position a product portfolio; and determine sales-channel strategy.
Interview the user (batch questions)
- What problem/segment are we competing in, and which personas decide?
- Who are the direct competitors — and what are the alternatives (do nothing, in-house, adjacent tools)?
- For each: strengths, weaknesses, pricing power, brand equity, and where they beat us?
- Where do our offerings and theirs sit on customer impact vs. depth of investment?
Artifact templates
Competitive Landscape analysis
# Competitive Landscape — <market / segment>
**Company:** <company> · **Feature / Product:** <feature / product name>
**Author:** <author> · **Date created:** <date> · **Version:** 1.0
**The comparison universe:** <named competitors + alternatives incl. "do nothing">
| Competitor / Alternative | Strengths | Weaknesses | Our winning strategy (fight or run) |
| :-- | :-- | :-- | :-- |
| <competitor> | <strengths> | <weaknesses> | <how we win, or why we avoid> |
## Where we win
<the problems and segments where our distinctive competencies beat every alternative>
## Where we should not fight
<segments/problems where a competitor has pricing power or brand equity — run>
## Evidence
<win/loss counts, analyst reports, pricing data; flag assumptions>
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.
- 12d ago First seen · 91 lines · 112 tokens per session scan A 684184bf6410
pm-competitive-landscape is a skill published in the GitHub repository julianoczkowski/product-manager (32 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 965 once invoked, about $0.0006 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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