competitive-landscape

competitive-landscape is a skill for Claude Code, Codex from bmbouter/redhat-agents. It costs 24 tokens per session (569 once invoked), scanned A, original, Apache-2.0.

A comparison of competing products in a specific capability area, covering what they offer, how they work, their strengths and weaknesses, and how your product compares. Competitive positioning means understanding how products differ and are perceived by the market.

In plain words
What is it for?
Use it to compare products for a defined capability, review pricing or availability, examine market positioning, and connect the findings with your own current or planned work. It can also query Jira for related product epics.
Why use it?
It gathers the information needed for product strategy, customer questions, or decisions about missing features. It reduces guesswork when explaining why one product compares differently from another.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compare products for a defined capability, review pricing or availability, examine market positioning, and connect the findings with your own current or planned work. It can also query Jira for related product epics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bmbouter/redhat-agents/competitive-landscape
Install

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.

Any agent
npx skills add bmbouter/redhat-agents --skill competitive-landscape
Clone the repo
git clone --depth 1 https://github.com/bmbouter/redhat-agents

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for competitive-landscape

README.md
[![agentmods](https://agentmods.dev/badge/skills/bmbouter/redhat-agents/competitive-landscape/github.svg)](https://agentmods.dev/skills/bmbouter/redhat-agents/competitive-landscape)
Your own site
<a href="https://agentmods.dev/skills/bmbouter/redhat-agents/competitive-landscape"><img src="https://agentmods.dev/badge/skills/bmbouter/redhat-agents/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.

agentmods 80×15 button for competitive-landscape

Your own site · 80×15
<a href="https://agentmods.dev/skills/bmbouter/redhat-agents/competitive-landscape"><img src="https://agentmods.dev/badge/skills/bmbouter/redhat-agents/competitive-landscape.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 569 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00569
Opus 5.5 $0.00010 $0.00228
Sonnet 5.5 $0.00005 $0.00114
Haiku 4.5 $0.00002 $0.00057

Measured 1mo ago against content hash 83145cde091e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 1mo 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.

module/skills/competitive-landscape/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to Use

When the PM needs to understand competitive positioning for a feature area, prepare for a strategy discussion, or respond to "why don't we have what X has?"

Instructions

1. Define the scope

Ask the PM:

  • Capability area: What specific area are we comparing? (e.g., "container registry performance", "RBAC model", "CDN integration")
  • Competitors: Who should we compare against? Or should we identify them?
  • Purpose: Strategic planning? Customer question? RFP response? Feature prioritization?

2. Gather information

For each competitor, research:

  • What they offer in this capability area
  • How it works (architecture, approach, user experience)
  • Strengths: What they do well
  • Weaknesses: What they don't do well or don't support
  • Pricing/availability: Open source? Paid? Enterprise-only?
  • Market perception: How are they positioned?

Also check our own product:

  • Query Jira for existing or planned epics in this area
  • Review current capabilities

3. Build the comparison

## Competitive Landscape: [Capability Area]

### Our Position
- **Current state**: [What we offer today]
- **Planned**: [Relevant epics on the roadmap]
- **Strengths**: [Where we're ahead]
- **Gaps**: [Where we're behind]

### Competitor Comparison

| Capability | Us | Competitor A | Competitor B | Competitor C |
|------------|-----|-------------|-------------|-------------|
| [Capability 1] | ✅/⚠️/❌ | ... | ... | ... |
| [Capability 2] | ... | ... | ... | ... |

### Detailed Analysis

#### [Competitor A]
- **Approach**: [How they solve it]
- **Strengths**: [What they do well]
- **Weaknesses**: [What they don't do well]
- **Key differentiator**: [What makes them unique]

#### [Competitor B]
...

### Strategic Implications
- **Where we lead**: [Capabilities where we have an advantage]
- **Where we trail**: [Gaps that matter to customers]
- **Where it doesn't matter**: [Differences that aren't meaningful to our segment]

### Recommendations
1. [Invest in X because...]
2. [Don't pursue Y because...]
3. [Monitor Z because...]

Read the full file on GitHub · 74 lines

Changes

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.

  1. 1mo ago First seen · 74 lines · 24 tokens per session scan A 83145cde091e

Subscribe to this mod's changes

competitive-landscape is a skill published in the GitHub repository bmbouter/redhat-agents (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 569 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 2026-08-31.

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