competitive-teardown

competitive-teardown is a skill for Claude Code, Codex from seaworld008/Commonly-used-high-value-skills. It costs 29 tokens per session (3,749 once invoked), scanned A, original, MIT.

A structured review of a competing product or company using information such as prices, app-store reviews, job listings, search visibility, and social media. It can organise findings into feature comparisons, SWOT analysis—a list of strengths, weaknesses, opportunities, and threats—positioning maps, user-experience reviews, and presentation material.

In plain words
What is it for?
Use it before product planning, after a competitor changes its features or prices, during regular market reviews, before sales pitches, or when entering a new market.
Why use it?
It brings scattered competitor information into one analysis, helping teams spot differences, gaps, and possible responses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it before product planning, after a competitor changes its features or prices, during regular market reviews, before sales pitches, or when entering a new market.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seaworld008/commonly-used-high-value-skills/competitive-teardown
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 seaworld008/Commonly-used-high-value-skills --skill competitive-teardown
Clone the repo
git clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skills

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-teardown

README.md
[![agentmods](https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/competitive-teardown/github.svg)](https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/competitive-teardown)
Your own site
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/competitive-teardown"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/competitive-teardown/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-teardown

Your own site · 80×15
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/competitive-teardown"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/competitive-teardown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,749 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 174
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00029 $0.03749
Opus 5 $0.00015 $0.01875
Sonnet 5 $0.00006 $0.00750
Haiku 4.5 $0.00003 $0.00375

Measured 5d ago against content hash de2bb927b6f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

competitive-teardown scanned grade A with 1 finding 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 5d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://competitor.com/pricing" | \
openclaw-skills/competitive-teardown/SKILL.md · 454 lines

How it starts

The opening of the file, as written. The whole thing — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitive Teardown

Tier: POWERFUL
Category: Product Team
Domain: Competitive Intelligence, Product Strategy, Market Analysis


Overview

Run a structured competitive analysis on any product or company. Synthesizes data from pricing pages, app store reviews, job postings, SEO signals, and social media into actionable insights: feature matrices, SWOT, positioning maps, UX audits, and a stakeholder presentation template.


Core Capabilities

  • Feature comparison matrix (scored 1-5 across 12 dimensions)
  • Pricing model analysis (per-seat, usage-based, flat rate)
  • SWOT analysis
  • Positioning map (2x2 matrix)
  • UX audit (onboarding, key workflows, mobile)
  • Content strategy gap analysis
  • Action item roadmap (quick wins / medium-term / strategic)
  • Stakeholder presentation template

When to Use

  • Before a product strategy or roadmap session
  • When a competitor launches a major feature or pricing change
  • Quarterly competitive review
  • Before a sales pitch where you need battle card data
  • When entering a new market segment

Data Collection Guide

1. Website Analysis

# Scrape pricing page structure
curl -s "https://competitor.com/pricing" | \
  python3 -c "
import sys
from html.parser import HTMLParser

class TextExtractor(HTMLParser):
    def __init__(self):
        super().__init__()
        self.text = []
    def handle_data(self, data):
        if data.strip():
            self.text.append(data.strip())

p = TextExtractor()
p.feed(sys.stdin.read())
print('\n'.join(p.text[:200]))
"

# Check changelog / release notes
curl -s "https://competitor.com/changelog" | grep -i "added\|new\|launched\|improved"

# Feature list from sitemap
curl -s "https://competitor.com/sitemap.xml" | grep -oP '(?<=<loc>)[^<]+' | head -50

Key things to capture from the website:

  • Pricing tiers and price points
  • Feature lists per tier
  • Primary CTA and messaging
  • Case studies / customer logos (signals ICP)
  • Integration logos
  • Trust signals (certifications, compliance badges)

Read the full file on GitHub · 454 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. 5d ago Changed · -28 tokens per session de2bb927b6f4
  2. 12d ago First seen · 454 lines · 57 tokens per session scan A aa82b6c90295

Subscribe to this mod's changes

competitive-teardown is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 29 tokens to every session and 3,749 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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