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 linkedin-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/linkedin-learning-phase-tracker)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-learning-phase-tracker"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-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/linkedin-learning-phase-tracker"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-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 | $0.00110 | $0.04899 |
| Opus 5.5 | $0.00044 | $0.01960 |
| Sonnet 5.5 | $0.00022 | $0.00980 |
| Haiku 4.5 | $0.00011 | $0.00490 |
Grade A, and why
linkedin-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 — 548 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Learning Phase Tracker
Purpose
Understand and navigate LinkedIn's implicit learning phase for campaign optimization. Unlike Meta and TikTok, LinkedIn does NOT have a formally labeled "learning phase" in the UI. However, the algorithm DOES go through a learning period that significantly impacts performance. This skill helps advertisers recognize, support, and exit the learning phase faster.
LinkedIn's Hidden Learning Phase
┌─────────────────────────────────────────────────────────────────────────────┐
│ THE LEARNING PHASE THAT DOESN'T EXIST (BUT DOES) │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ WHAT LINKEDIN SAYS: │
│ ─────────────────── │
│ "There is no official learning phase on LinkedIn." │
│ │
│ WHAT ACTUALLY HAPPENS: │
│ ───────────────────── │
│ ├─ Week 1: High variance in CPC, CPL, delivery │
│ ├─ Week 2: Algorithm finds efficient pockets │
│ ├─ Week 3+: Performance stabilizes │
│ └─ Requires: Minimum conversion/event signals │
│ │
│ WHY LINKEDIN DOESN'T LABEL IT: │
│ ────────────────────────────── │
│ ├─ B2B sales cycles are much longer than B2C │
│ ├─ Conversion events are less frequent │
│ ├─ LinkedIn doesn't want to commit to a specific timeframe │
│ └─ Smaller audiences = harder to define "learned" │
│ │
│ KEY INSIGHT: │
│ ═══════════ │
│ LinkedIn DOES have a learning phase - they just call it │
│ "campaign optimization" and don't show you a status indicator. │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
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 · 548 lines · 110 tokens per session scan A 8177fa799316
linkedin-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 110 tokens to every session and 4,899 once invoked, about $0.0004 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.
Other skills, from other repositories
analytics
Growth analytics authority — GA4 event tracking, conversion funnels, attribution models, cohort analysis, A/B testing, Supabase analytics queries, and revenue reporting patterns.
creative-generate
A workflow for creating advertising images and banners from a strategy brief. It separates the main visual artwork from the accurately typeset text and produces variants for display or social formats.
cro-optimizer
CRO specialist that pulls live analytics data via the Humblytics MCP, analyzes conversion funnels, identifies drop-off points, and generates prioritized A/B test hypotheses. Use when analyzing conversion rates, diagnosing funnel leaks, optimizing signup flows, or creating test roadmaps. Triggers: CRO, conversion rate…
learn
Save a marketing diagnosis insight to the pro-diagnosis knowledge base so it is applied in future operations across all platforms. Use when the user runs /learn, explicitly teaches the agent a marketing insight, corrects the agent's analysis, or asks to remember/record an operational learning for next time. Also use…
lead-form-create
Create a Meta Instant Form (Lead Ad form) through a one-question-at-a-time interview. Use when the user asks to create a lead form, Instant Form, CV form, or similar. The agent collects required parameters via a guided dialogue, confirms, then calls metaadsleadformscreate. Also use when the user asks in Japanese…
ai-hive-simulate-dn-samuel
A research and content-planning workflow that studies DN-Samuel's public material and turns its general methods into original work using your own facts and experience. It can also organise authorised documents into a source-linked reference library.