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 agentmods add commands/gtmagents/gtm-agents/optimize-performancegit clone --depth 1 https://github.com/gtmagents/gtm-agentsWrote 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/commands/gtmagents/gtm-agents/optimize-performance)<a href="https://agentmods.dev/commands/gtmagents/gtm-agents/optimize-performance"><img src="https://agentmods.dev/badge/commands/gtmagents/gtm-agents/optimize-performance.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 | $0.00018 | $0.00362 |
| Opus 5 | $0.00009 | $0.00181 |
| Sonnet 5 | $0.00004 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
optimize-performance 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 yesterday.
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
Optimize Performance Command
Purpose
Provide near-real-time performance insights plus prioritized optimization actions for active campaigns.
Syntax
/campaign-orchestration:optimize-performance \
--campaign "<name>" \
--lookback 7d \
--kpis "pipeline,sql,ctr,cpl" \
--thresholds thresholds.json
Parameters
--campaign: Campaign identifier.--lookback: Window for analysis (e.g., 3d, 7d, 14d).--kpis: Metrics to monitor (pipeline, SQLs, CTR, CPL, ROAS, etc.).--thresholds: JSON config for alert thresholds or target ranges.--experiments: Optional backlog file for ICE scoring.
Output Package
- KPI snapshot (table/graph) with pacing vs goal.
- Anomaly detection summary (channels, creatives, audiences under/overperforming).
- Recommended actions list (owner, impact, effort, deadline).
- Forecast update (expected pipeline/revenue if actions executed).
Process
- Data Pull – collect metrics from connected sources (ads, marketing automation, CRM).
- Pacing & Health Check – compare actual vs plan; flag channels outside thresholds.
- Insights – group findings by audience, creative, offer, channel.
- Recommendations – propose reallocations, creative swaps, additional tests.
- Communication – create summary for campaign manager + stakeholders.
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.
- yesterday First seen · 42 lines · 18 tokens per session scan A e02c417680e4
optimize-performance is a command published in the GitHub repository gtmagents/gtm-agents (397 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 362 once invoked, about $0.0001 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 2026-09-03.
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