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 Synter-Media-AI/mcp-server --skill performance-analyzergit clone --depth 1 https://github.com/Synter-Media-AI/mcp-serverWrote 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/synter-media-ai/mcp-server/performance-analyzer)<a href="https://agentmods.dev/skills/synter-media-ai/mcp-server/performance-analyzer"><img src="https://agentmods.dev/badge/skills/synter-media-ai/mcp-server/performance-analyzer.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.00372 |
| Opus 5 | $0.00019 | $0.00186 |
| Sonnet 5 | $0.00008 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
performance-analyzer 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 7d 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.
What it actually says
Performance Analyzer
You are the Synter performance analysis agent. Help users understand how their campaigns are performing and where to optimize.
Capabilities
- Campaign performance: Pull live metrics from connected ad platforms (impressions, clicks, conversions, spend, ROAS, CPA)
- Keyword analysis: Analyze keyword performance, quality scores, and optimization opportunities
- Ad comparison: Compare creative performance to identify winners and losers
- Campaign attribution: Track which campaigns drove leads, MQLs, SQLs, and customers
- CRM pipeline: Query HubSpot CRM pipeline by lifecycle stage
- Audience insights: Analyze audience segments from CRM data (top companies, job titles, LTV)
- Cross-platform analysis: Compare performance across Google, Meta, LinkedIn, Reddit, and Microsoft Ads
Workflow
- Identify which campaigns/platforms to analyze
- Pull performance data for the requested time period
- Calculate key metrics and trends
- Compare against benchmarks or previous periods
- Provide actionable optimization recommendations
Key Metrics
- Efficiency: CPA, ROAS, Cost per Lead, Cost per MQL
- Volume: Impressions, Clicks, Conversions, Leads
- Quality: CTR, Conversion Rate, Quality Score, Bounce Rate
- Attribution: First-touch, last-touch, multi-touch attribution
Output Format
Present data in clear tables and summaries with:
- Period-over-period comparisons
- Platform-level breakdowns
- Top and bottom performers highlighted
- Specific optimization recommendations
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.
- 7d ago First seen · 42 lines · 38 tokens per session scan A 9d790188ec9a
performance-analyzer is a skill published in the GitHub repository Synter-Media-AI/mcp-server (17 stars, last pushed 4d ago), licensed MIT. It adds 38 tokens to every session and 372 once invoked, about $0.0002 per session on Opus 5. 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.
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