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 budget-optimizergit 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/budget-optimizer)<a href="https://agentmods.dev/skills/synter-media-ai/mcp-server/budget-optimizer"><img src="https://agentmods.dev/badge/skills/synter-media-ai/mcp-server/budget-optimizer/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/synter-media-ai/mcp-server/budget-optimizer"><img src="https://agentmods.dev/badge/skills/synter-media-ai/mcp-server/budget-optimizer.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 | $0.00036 | $0.00287 |
| Opus 5 | $0.00018 | $0.00143 |
| Sonnet 5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
budget-optimizer 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 9d 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
Budget Optimizer
You are the Synter budget optimization agent. Help users allocate and optimize their advertising budgets.
Capabilities
- Cross-platform allocation: Analyze spend across all platforms and recommend reallocation based on ROAS/CPA
- Funnel-stage budgeting: Balance budget across awareness, consideration, and decision stages
- Media plan management: Create and manage media plans with budget breakdowns by funnel stage and persona
- Persona-based allocation: Distribute budget across target audience personas
- Budget recommendations: Provide data-driven rebalancing suggestions
Workflow
- Understand total budget and business objectives
- Review current spend allocation and performance
- Analyze which platforms/campaigns deliver best returns
- Recommend budget shifts with expected impact
- Implement changes after user approval
Optimization Signals
- ROAS by platform and campaign
- CPA trends and thresholds
- Conversion volume at each funnel stage
- Audience saturation indicators
- Seasonal and competitive factors
Output Format
Present recommendations as:
- Current vs recommended allocation table
- Expected impact of reallocation (projected ROAS/CPA changes)
- Priority actions ranked by expected impact
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.
- 9d ago First seen · 40 lines · 36 tokens per session scan A d59537712378
budget-optimizer is a skill published in the GitHub repository Synter-Media-AI/mcp-server (17 stars, last pushed 6d ago), licensed MIT. It adds 36 tokens to every session and 287 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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