competitive-analysis

competitive-analysis is a skill for Codex from ashermahonin/agentic-skills. It costs 66 tokens per session (392 once invoked), scanned A, original, MIT.

A comparison of competing products, substitute tools, or manual workflows for product planning. It turns the comparison into decisions about positioning, scope, and the product's first focused advantage.

In plain words
What is it for?
It is for competitor scans, feature and workflow comparisons, pricing or packaging research, finding gaps, and choosing an initial product focus.
Why use it?
It helps teams understand what already exists and avoid building a product without a clear reason to choose it.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for competitor scans, feature and workflow comparisons, pricing or packaging research, finding gaps, and choosing an initial product focus.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ashermahonin/agentic-skills/competitive-analysis
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 ashermahonin/agentic-skills --skill competitive-analysis
Clone the repo
git clone --depth 1 https://github.com/ashermahonin/agentic-skills

Made for: 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-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/competitive-analysis.svg)](https://agentmods.dev/skills/ashermahonin/agentic-skills/competitive-analysis)
Your own site
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/competitive-analysis"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/competitive-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 392 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 $0.00066 $0.00392
Opus 5 $0.00033 $0.00196
Sonnet 5 $0.00013 $0.00078
Haiku 4.5 $0.00007 $0.00039

Measured 7d ago against content hash 288e2442b3ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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 7d 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.

agentic/skills/competitive-analysis/SKILL.md · 53 lines

What it actually says

Competitive Analysis

Purpose

Prevent the team from building in a vacuum. Compare the proposed product against real alternatives and translate that comparison into product choices, not generic market commentary.

Inputs

  • Define the comparison category: direct competitors, substitutes, internal tools, manual workflows, or adjacent products.
  • Pick comparison criteria that matter to the target user.
  • Separate table-stakes features from differentiators.
  • Name the positioning question the analysis must answer.

Decision process

  1. Build a short list of alternatives with why each matters.
  2. Compare them on user workflow, capability, pricing, trust, onboarding, integrations, and switching cost when relevant.
  3. Call out gaps and over-served areas.
  4. Identify a wedge: the narrow reason this product should exist first.
  5. Translate findings into scope recommendations and product risks.

Decision boundaries

  • Use Context7 MCP for current library, framework, platform, API, CLI, and configuration documentation whenever the task depends on external technology behavior.

Decision record

  • Alternative list
  • Feature and workflow matrix
  • Differentiation notes
  • Opportunity and risk summary
  • Scope recommendations

Ready when

  • Do not confuse feature count with product strength.
  • Prefer user workflow comparison over marketing-copy comparison.
  • Call out uncertainty when evidence is thin.
  • End with decisions the next skill can use.

Handoff

Hand off the wedge, table stakes, differentiators, and scope cautions to requirements and architecture.

References

  • references/matrix.md: Use this matrix format for competitor or alternative analysis.
Files

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.

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. 7d ago First seen · 53 lines · 66 tokens per session scan A 288e2442b3ba

Subscribe to this mod's changes

competitive-analysis is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 13d ago), licensed MIT. It adds 66 tokens to every session and 392 once invoked, about $0.0003 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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