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 gtmagents/gtm-agents --skill performance-trackinggit 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/skills/gtmagents/gtm-agents/performance-tracking)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/performance-tracking"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/performance-tracking/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/gtmagents/gtm-agents/performance-tracking"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/performance-tracking.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 | $0.00019 | $0.00308 |
| Opus 5 | $0.00010 | $0.00154 |
| Sonnet 5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
performance-tracking 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 8d 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 Tracking Skill
When to Use
- Before launch to define metrics, data sources, and reporting cadence.
- During active campaigns to monitor pacing vs goals and trigger optimizations.
- Post-campaign retros to capture learnings and benchmarks.
Framework
- Metric Hierarchy – define business (pipeline, revenue), leading (MQL, CTR), and diagnostic metrics (CPC, landing page CVR).
- Data Plumbing – map sources (ad platforms, MA, CRM, BI) and ensure consistent IDs/UTMs.
- Dashboard Build – create executive + operator views with automated refresh.
- Alerting – set thresholds for spend pacing, CPA, conversion drops, SLAs.
- Insight Cadence – daily standups, weekly deep dives, end-of-campaign retros.
- Documentation – record hypotheses, experiments, and outcomes.
Templates
- KPI tree worksheet.
- Dashboard spec (dataset, visualization, owner, refresh schedule).
- Optimization log (date, insight, action, result).
Tips
- Automate alert routing (Slack, email) so anomalies are actioned quickly.
- Pair dashboards with narrative summaries to help execs interpret shifts.
- Capture experiment context in the optimization log to prevent repeating failed tests.
- Align BI/RevOps early so new metrics get logged before launch.
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.
- 8d ago First seen · 33 lines · 19 tokens per session scan A b08dc18eb7a4
performance-tracking is a skill published in the GitHub repository gtmagents/gtm-agents (399 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 308 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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