Competitor Analysis

PassAudited by VirusTotal on May 12, 2026.

Overview

Type: OpenClaw Skill Name: competitor-analysis Version: 9.9.5 The competitor-analysis skill bundle is a collection of Markdown instructions and templates designed to guide an AI agent through SEO and marketing research. It contains no executable code, obfuscation, or evidence of malicious intent. The instructions in SKILL.md are strictly aligned with the stated purpose of competitive intelligence, and the use of local memory files (e.g., memory/hot-cache.md) follows standard patterns for state management in OpenClaw/Claude Code environments.

Findings (0)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

If connected or supplied, the agent may see traffic, keyword, ranking, and market metrics from your business tools.

Why it was flagged

The workflow may use SEO, analytics, AI-monitor, or site-metric data. That is expected for competitor analysis, but it may involve proprietary business or account data.

Skill content
Optional integrations: ~~SEO tool, ~~analytics, ~~AI monitor. Without tools, ask for competitor URLs, your site metrics, and industry context.
Recommendation

Use scoped or read-only tool access where possible, and avoid providing confidential metrics that should not appear in reports or saved memory.

What this means

Saved competitor intelligence and strategy decisions may influence future agent tasks and may expose business strategy in local memory files.

Why it was flagged

The skill explicitly persists research and strategic conclusions for reuse. This is aligned with the workflow, but persistent notes can become stale, sensitive, or over-trusted later.

Skill content
Promotes: durable competitor facts, keyword priorities, entity candidates, and strategy decisions to `memory/hot-cache.md`, `memory/decisions.md`, and `memory/research/`.
Recommendation

Review saved summaries before accepting them, include dates, sources, and confidence levels, and delete or update stale or sensitive memory entries.