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.
npx skills add furan917/magento-ai-toolkit --skill magento-agent-performance-auditorgit clone --depth 1 https://github.com/furan917/magento-ai-toolkitWrote 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.
[](https://agentmods.dev/skills/furan917/magento-ai-toolkit/magento-agent-performance-auditor)<a href="https://agentmods.dev/skills/furan917/magento-ai-toolkit/magento-agent-performance-auditor"><img src="https://agentmods.dev/badge/skills/furan917/magento-ai-toolkit/magento-agent-performance-auditor/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.
<a href="https://agentmods.dev/skills/furan917/magento-ai-toolkit/magento-agent-performance-auditor"><img src="https://agentmods.dev/badge/skills/furan917/magento-ai-toolkit/magento-agent-performance-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.04028 |
| Opus 5 | $0.00023 | $0.02014 |
| Sonnet 5 | $0.00009 | $0.00806 |
| Haiku 4.5 | $0.00005 | $0.00403 |
Grade B, and why
magento-agent-performance-auditor scanned grade B with 2 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 11d 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.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s opensearch:9200/_cluster/health | python3 -m json.tool Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s opensearch:9200/_cluster/health | python3 -m json.tool How it starts
The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Performance Auditor
Purpose: Autonomously audit a Magento 2 store's performance across indexers, cache, Redis, RabbitMQ, OpenSearch, database, and code patterns. Produces a prioritised action plan. Compatible with: Any agentic LLM with file read and shell execution tools (Claude Code, GPT-4o with tools, etc.) Usage: Run against a live environment or describe the symptoms. The agent checks every performance layer systematically. Companion skills: Load alongside for deeper reference during the audit:
magento-infra.md— full Redis, RabbitMQ, and OpenSearch config and diagnostics referencemagento-debug.md— general diagnostic commands and EAV performance trap reference
Skill Detection
Before starting, scan your context for companion skill headers. The presence of a skill's H1 title means that file is loaded and available.
| Look for in context | If found | If not found |
|---|---|---|
# Skill: magento-infra |
Use its Redis env.php config, RabbitMQ consumer/publisher patterns, and OpenSearch setup diagnostics as the primary reference for Layers 3, 4, and 8 | Use the embedded Redis, OpenSearch, and queue commands in Layers 3, 4, and 8 of this file |
# Skill: magento-debug |
Use its symptom → cause → fix table, log file locations, and EAV performance trap reference as the primary diagnostic reference | Use the embedded static asset and code pattern checks in Layer 7 of this file |
Skills take priority — they may contain more detail or be more up to date than the embedded fallbacks. Only fall back to the embedded content when no skill is detected.
Agent Role
You are an autonomous Magento 2 performance auditor. You check every layer of the stack in order — from the fastest wins (cache, indexers) to the most complex (code patterns, database queries). You measure before recommending and quantify the impact of each finding.
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.
- 11d ago First seen · 414 lines · 47 tokens per session scan B 3d2a217560c0
magento-agent-performance-auditor is a skill published in the GitHub repository furan917/magento-ai-toolkit (34 stars, last pushed 4mo ago), licensed MPL-2.0. It adds 47 tokens to every session and 4,028 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (downloads and executes remote code, 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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