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panguard-ai: Command for Claude Code

.claude/commands/competitor-analysis.md

competitor-analysis is a command for Claude Code from panguard-ai/panguard-ai. It costs 0 tokens per session (383 once invoked), scanned A, original, MIT.

A competitor-research command for comparing endpoint and developer security products with Panguard.

In plain words
What is it for?
Use it to study a named competitor or review the wider market, then identify Panguard’s advantages, missing capabilities, and possible blog or social content.
Why use it?
It gathers scattered information such as pricing, features, customers, and open-source work into one comparison, while exposing gaps and useful marketing topics.

Command for Claude Code

Written for Claude Code: installed under .claude/. Also seen: positional $N argument.

This is panguard-ai/panguard-ai's own configuration. It tells Claude Code how to work on panguard-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything panguard-ai configures →

not rated 67repo +1 today A scan 0 tokens original MIT
View source ↗ panguard-ai/panguard-ai panguard.ai
Reuse

Borrowing it

Nothing to install: this file belongs to panguard-ai/panguard-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/panguard-ai/panguard-ai/main/.claude/commands/competitor-analysis.md
Clone the repo
git clone --depth 1 https://github.com/panguard-ai/panguard-ai

Made for: Claude Code.

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 competitor-analysis

README.md
[![agentmods](https://agentmods.dev/badge/commands/panguard-ai/panguard-ai/competitor-analysis/github.svg)](https://agentmods.dev/commands/panguard-ai/panguard-ai/competitor-analysis)
Your own site
<a href="https://agentmods.dev/commands/panguard-ai/panguard-ai/competitor-analysis"><img src="https://agentmods.dev/badge/commands/panguard-ai/panguard-ai/competitor-analysis/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 competitor-analysis

Your own site · 80×15
<a href="https://agentmods.dev/commands/panguard-ai/panguard-ai/competitor-analysis"><img src="https://agentmods.dev/badge/commands/panguard-ai/panguard-ai/competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 383 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 $0.00000 $0.00383
Opus 5.5 $0.00000 $0.00153
Sonnet 5.5 $0.00000 $0.00077
Haiku 4.5 $0.00000 $0.00038

Measured 2mo ago against content hash da9ac7e0a1a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitor-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 2mo 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.

.claude/commands/competitor-analysis.md · 47 lines

What it actually says

/competitor-analysis — Analyze Competitor Positioning

Research and analyze competitors in the endpoint security / developer security space.

Input

The user may specify a competitor name, or say "overview" for a general landscape analysis.

Research Steps

  1. Web search for the competitor's:

    • Pricing page
    • Product features
    • Target audience
    • Recent blog posts / announcements
    • GitHub presence (if open source)

  2. Compare against Panguard on these dimensions:

Dimension Panguard Competitor
Pricing Free / $9 / $29 / $79 ?
Install time 60 seconds, 1 command ?
Target audience Developers, SMBs ?
Open source ATR rules (MIT) ?
AI capabilities 3-tier funnel, 5 agents ?
Detection rules 3,760 Sigma + 5,961 YARA + ATR ?
Compliance TCSA, ISO 27001, SOC 2 ?
CLI-first Yes ?
  1. Identify Panguard advantages — what to highlight in marketing
  2. Identify gaps — what competitors offer that Panguard doesn't yet
  3. Suggest content angles — blog posts, comparison pages, social posts

Key Competitors to Track

  • CrowdStrike (enterprise, expensive)
  • SentinelOne (enterprise, AI-focused)
  • Wazuh (open source SIEM)
  • OSSEC (open source HIDS)
  • Fail2ban (free, limited)
  • Cloudflare Zero Trust (network-focused)

Output

Return a structured comparison report with actionable marketing recommendations.

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. 2mo ago First seen · 47 lines · 0 tokens per session scan A da9ac7e0a1a6

Subscribe to this mod's changes

competitor-analysis is a command published in the GitHub repository panguard-ai/panguard-ai (67 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 383 tokens. 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 2026-08-30.

Marketing and SEOResearchai-agentai-securitycybersecurityllm-securitymcpopen-source
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