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 Ad-Superpowers/ad-superpowers-plugin --skill meta-learning-phase-trackergit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/meta-learning-phase-tracker)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-learning-phase-tracker"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-learning-phase-tracker/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/ad-superpowers/ad-superpowers-plugin/meta-learning-phase-tracker"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-learning-phase-tracker.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 | $0.00087 | $0.02431 |
| Opus 5.5 | $0.00035 | $0.00972 |
| Sonnet 5.5 | $0.00017 | $0.00486 |
| Haiku 4.5 | $0.00009 | $0.00243 |
Grade A, and why
meta-learning-phase-tracker 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learning Phase Tracker
Analyzer for Meta Ads learning phase management. Predicts edit impact and advises on optimal timing for changes.
Learning Phase Basics
What Is Learning Phase?
A period during which Meta's algorithm learns who to target and how to bid. Ad sets show "Learning" status until sufficient data has been collected.
Exit Criteria (2026 Update)
Traditional rule: 50 optimization events per ad set per week
2026 Update: Some accounts see 10 conversions over 3 days
as the new threshold (Meta continues to refine this).
With ASC campaigns (unified structure since v25.0), the
algorithm has more flexibility — combined ad sets learn faster.
Practical rule of thumb: Plan for 50/week, but monitor
whether faster exit is possible.
Learning Phase Statuses
| Status | Meaning | Action |
|---|---|---|
| Learning | Algorithm is collecting data | Don't change, wait |
| Active | Exited, optimization is stable | Monitor and optimize |
| Learning Limited | Insufficient events | Increase budget or use broader targeting |
Edit Impact Matrix
Significant Edits (Trigger Learning Reset)
| Edit Type | Impact | Learning Reset? |
|---|---|---|
| Budget >20% increase | High | Usually yes |
| Budget >20% decrease | High | Usually yes |
| Audience change | High | Yes |
| New creative | High | Yes |
| Optimization goal change | High | Yes |
| Bid strategy change | High | Yes |
| Placement change | Medium | Often yes |
Non-Significant Edits (Usually Safe)
| Edit Type | Impact | Learning Reset? |
|---|---|---|
| Budget <20% change | Low | Usually no |
| Ad name change | None | No |
| Campaign name change | None | No |
| Adding new ad (2026) | Variable | Sometimes not anymore |
| Minor copy tweak | Low | Usually no |
2026 Updates
Meta now shows messages like:
"You can increase your budget to €[X] without restarting learning"
This provides specific safe thresholds per ad set.
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.
- 1mo ago First seen · 351 lines · 87 tokens per session scan A 6c5350837be0
meta-learning-phase-tracker is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 87 tokens to every session and 2,431 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-11.
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