Skill flagged — suspicious patterns detected

ClawHub Security flagged this skill as suspicious. Review the scan results before using.

Competitor Teardown

v0.1.5

Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining,...

0· 1.6k·6 current·6 all-time
byÖmer Karışman@okaris

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for okaris/competitor-teardown.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Competitor Teardown" (okaris/competitor-teardown) from ClawHub.
Skill page: https://clawhub.ai/okaris/competitor-teardown
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install competitor-teardown

ClawHub CLI

Package manager switcher

npx clawhub@latest install competitor-teardown
Security Scan
VirusTotalVirusTotal
Suspicious
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
The name/description (competitor teardown) match the instructions: web search + screenshots + review mining. The commands and suggested outputs are consistent with that purpose and no unrelated credentials or capabilities are requested.
!
Instruction Scope
The runtime instructions direct the agent to install and use the inference.sh CLI and to run apps that search the web and take screenshots (infsh/agent-browser). That means scraped pages/screenshots will be processed by inference.sh infrastructure unless run locally — the SKILL.md does not clearly state what data is uploaded, retained, or who can access it. It also suggests capturing signup flows which could entail interacting with authentication pages or user credentials if the operator chooses to log in.
!
Install Mechanism
Installation is recommended via piping curl https://cli.inference.sh | sh which downloads a binary from dist.inference.sh. The README claims SHA-256 verification is available, but this is a direct download from a third‑party domain (not a widely known package host). That is a higher supply-chain risk than an instruction-only skill and should be verified manually before running.
Credentials
The skill declares no required env vars or credentials, but the instructions call out 'infsh login' — using the skill will require credentials for inference.sh (or other services invoked) which are not documented in metadata. There is no request for unrelated secrets, but you should assume account tokens will be created/stored by the CLI/service.
Persistence & Privilege
The skill does not request always: true or other elevated runtime privileges. Installing the third‑party CLI will add a binary and may persist credentials/config for that CLI, but the skill itself is instruction-only and does not claim to modify other skills or system-wide agent settings.
What to consider before installing
This skill does what it says (competitive research) but depends on a third‑party CLI (inference.sh) installed via curl | sh and runs remote apps that will likely send scraped pages and screenshots to that service. Before installing: verify the reputation and privacy policy of inference.sh, prefer manually downloading and verifying the binary (use the provided checksum file), avoid logging into sensitive accounts or uploading PII during screenshots, and consider alternatives that run locally (your own browser + local screenshot tools or trusted enterprise tooling). If you need stronger assurance, ask the skill author for a transparent explanation of what data is sent to inference.sh and how long it is retained.

Like a lobster shell, security has layers — review code before you run it.

latestvk97cngh9hm09jxqd9j19ktn8t981cnyd
1.6kdownloads
0stars
2versions
Updated 14h ago
v0.1.5
MIT-0

Competitor Teardown

Structured competitive analysis with research and screenshots via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Research competitor landscape
infsh app run tavily/search-assistant --input '{
  "query": "top project management tools comparison 2024 market share"
}'

# Screenshot competitor's website
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com",
  "action": "screenshot"
}'

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Teardown Framework

The 7-Layer Analysis

LayerWhat to AnalyzeData Source
1. ProductFeatures, UX, qualityScreenshots, free trial
2. PricingPlans, pricing model, hidden costsPricing page, sales call
3. PositioningMessaging, tagline, ICPWebsite, ads
4. TractionUsers, revenue, growthWeb search, press, funding
5. ReviewsStrengths, weaknesses from usersG2, Capterra, App Store
6. ContentBlog, social, SEO strategyWebsite, social profiles
7. TeamSize, key hires, backgroundLinkedIn, About page

Research Commands

Company Overview

# General intelligence
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX company overview funding team size 2024"
}'

# Funding and financials
infsh app run exa/search --input '{
  "query": "CompetitorX funding round series valuation investors"
}'

# Recent news
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX latest news announcements 2024"
}'

Product Analysis

# Feature comparison
infsh app run exa/search --input '{
  "query": "CompetitorX vs alternatives feature comparison review"
}'

# Pricing details
infsh app run tavily/extract --input '{
  "urls": ["https://competitor.com/pricing"]
}'

# User reviews
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX reviews G2 Capterra pros cons 2024"
}'

UX Screenshots

# Homepage
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com",
  "action": "screenshot"
}'

# Pricing page
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com/pricing",
  "action": "screenshot"
}'

# Signup flow
infsh app run infsh/agent-browser --input '{
  "url": "https://competitor.com/signup",
  "action": "screenshot"
}'

Feature Matrix

Structure

| Feature | Your Product | Competitor A | Competitor B | Competitor C |
|---------|:---:|:---:|:---:|:---:|
| Real-time collaboration | ✅ | ✅ | ❌ | ✅ |
| API access | ✅ | Paid only | ✅ | ❌ |
| SSO/SAML | ✅ | Enterprise | ✅ | Enterprise |
| Custom reports | ✅ | Limited | ✅ | ❌ |
| Mobile app | ✅ | iOS only | ✅ | ✅ |
| Free tier | ✅ (unlimited) | ✅ (3 users) | ❌ | ✅ (1 project) |
| Integrations | 50+ | 100+ | 30+ | 20+ |

Rules

  • ✅ = Full support
  • ⚠️ or "Partial" = Limited or conditional
  • ❌ = Not available
  • Note conditions: "Paid only", "Enterprise tier", "Beta"
  • Lead with features where YOU win
  • Be honest about competitor strengths — credibility matters

Pricing Comparison

Structure

| | Your Product | Competitor A | Competitor B |
|---------|:---:|:---:|:---:|
| **Free tier** | Yes, 5 users | Yes, 3 users | No |
| **Starter** | $10/user/mo | $15/user/mo | $12/user/mo |
| **Pro** | $25/user/mo | $30/user/mo | $29/user/mo |
| **Enterprise** | Custom | Custom | $50/user/mo |
| **Billing** | Monthly/Annual | Annual only | Monthly/Annual |
| **Annual discount** | 20% | 15% | 25% |
| **Min seats** | 1 | 5 | 3 |
| **Hidden costs** | None | Setup fee $500 | API calls metered |

What to Look For

  • Minimum seat requirements
  • Annual-only billing (reduces flexibility)
  • Feature gating between tiers
  • Overage charges
  • Setup/onboarding fees
  • Contract lock-in periods

SWOT Analysis

Create a SWOT for each competitor:

### Competitor A — SWOT

| Strengths | Weaknesses |
|-----------|------------|
| • Strong brand recognition | • Slow feature development |
| • Large integration ecosystem | • Complex onboarding (30+ min) |
| • Enterprise sales team | • No free tier |

| Opportunities | Threats |
|--------------|---------|
| • AI features not yet shipped | • New AI-native competitors |
| • Expanding into mid-market | • Customer complaints about pricing |
| • International markets untapped | • Key engineer departures (LinkedIn) |

Positioning Map

A 2x2 matrix showing where competitors sit on two meaningful dimensions.

Choose Meaningful Axes

Good AxesBad Axes
Simple ↔ ComplexGood ↔ Bad
SMB ↔ EnterpriseCheap ↔ Expensive (too obvious)
Self-serve ↔ Sales-ledOld ↔ New
Specialized ↔ GeneralSmall ↔ Large
Opinionated ↔ Flexible

Template

                    Enterprise
                        │
           Competitor C │  Competitor A
                ●       │       ●
                        │
  Simple ──────────────────────────── Complex
                        │
            You ●       │  Competitor B
                        │       ●
                        │
                      SMB

Generating the Visual

# Create positioning map with Python
infsh app run infsh/python-executor --input '{
  "code": "import matplotlib.pyplot as plt\nimport matplotlib\nmatplotlib.use(\"Agg\")\n\nfig, ax = plt.subplots(figsize=(10, 10))\n\n# Competitors\ncompetitors = {\n    \"You\": (-0.3, -0.3),\n    \"Competitor A\": (0.5, 0.6),\n    \"Competitor B\": (0.6, -0.4),\n    \"Competitor C\": (-0.4, 0.5)\n}\n\nfor name, (x, y) in competitors.items():\n    color = \"#22c55e\" if name == \"You\" else \"#6366f1\"\n    size = 200 if name == \"You\" else 150\n    ax.scatter(x, y, s=size, c=color, zorder=5)\n    ax.annotate(name, (x, y), textcoords=\"offset points\", xytext=(10, 10), fontsize=12, fontweight=\"bold\")\n\nax.axhline(y=0, color=\"grey\", linewidth=0.5)\nax.axvline(x=0, color=\"grey\", linewidth=0.5)\nax.set_xlim(-1, 1)\nax.set_ylim(-1, 1)\nax.set_xlabel(\"Simple ← → Complex\", fontsize=14)\nax.set_ylabel(\"SMB ← → Enterprise\", fontsize=14)\nax.set_title(\"Competitive Positioning Map\", fontsize=16, fontweight=\"bold\")\nax.grid(True, alpha=0.3)\nplt.tight_layout()\nplt.savefig(\"positioning-map.png\", dpi=150)\nprint(\"Saved\")"
}'

Review Mining

Where to Find Reviews

PlatformBest ForURL Pattern
G2B2B SaaSg2.com/products/[product]/reviews
CapterraBusiness softwarecapterra.com/software/[id]/reviews
App StoreiOS appsapps.apple.com
Google PlayAndroid appsplay.google.com
Product HuntLaunchesproducthunt.com/posts/[product]
RedditHonest opinionsreddit.com/r/[relevant-sub]

What to Extract

CategoryLook For
Most praisedWhat features do happy users mention most?
Most complainedWhat do unhappy users say? (= your opportunity)
Switching reasonsWhy do users leave? What triggers switching?
Feature requestsWhat's missing that users want?
Comparison mentionsWhen users compare, what do they say?
# Mine G2 reviews
infsh app run tavily/search-assistant --input '{
  "query": "CompetitorX G2 reviews complaints issues 2024"
}'

# Reddit sentiment
infsh app run exa/search --input '{
  "query": "reddit CompetitorX alternative frustration switching"
}'

Deliverable Formats

Executive Summary (1 page)

## Competitive Landscape Summary

**Market:** [Category] — $[X]B market growing [Y]% annually

**Key competitors:** A (leader), B (challenger), C (niche)

**Our positioning:** [Where you sit and why it matters]

**Key insight:** [One sentence about the biggest opportunity]

| Metric | You | A | B | C |
|--------|-----|---|---|---|
| Users | X | Y | Z | W |
| Pricing (starter) | $X | $Y | $Z | $W |
| Rating (G2) | X.X | Y.Y | Z.Z | W.W |

Detailed Report (per competitor)

  1. Company overview (size, funding, team)
  2. Product analysis (features, UX screenshots)
  3. Pricing breakdown
  4. SWOT analysis
  5. Review analysis (top praised, top complained)
  6. Positioning vs. you
  7. Opportunity summary

Comparison Grid Visual

# Stitch competitor screenshots into comparison
infsh app run infsh/stitch-images --input '{
  "images": ["your-homepage.png", "competitorA-homepage.png", "competitorB-homepage.png"],
  "direction": "horizontal"
}'

Common Mistakes

MistakeProblemFix
Only looking at featuresMisses positioning, pricing, tractionUse the 7-layer framework
Biased analysisLoses credibilityBe honest about competitor strengths
Outdated dataWrong conclusionsDate all research, refresh quarterly
Too many competitorsAnalysis paralysisFocus on top 3-5 direct competitors
No "so what"Data without insightEnd each section with implications for you
Feature-only comparisonDoesn't show positioningInclude pricing, reviews, positioning map

Related Skills

npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: infsh app list

Comments

Loading comments...