breakout-pattern-research

breakout-pattern-research is a skill for Claude Code, Codex from TheMattBerman/creator-breakout-kit. It costs 78 tokens per session (1,098 once invoked), scanned A, original, MIT.

A research workflow for finding repeatable patterns in high-performing creator posts. It examines individual post results against a creator’s usual performance, with a focus on a chosen platform and content category.

In plain words
What is it for?
Use it to identify hook styles, review source posts, assess outlier evidence, and label research as a quick pass, brand pass, pending data, or outlier pass.
Why use it?
It helps distinguish patterns linked to a post’s performance from conclusions based only on a creator’s popularity. It also records when the available evidence is limited or uncertain.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/themattberman/creator-breakout-kit/breakout-pattern-research
Any agent
npx skills add TheMattBerman/creator-breakout-kit --skill breakout-pattern-research
Clone the repo
git clone --depth 1 https://github.com/TheMattBerman/creator-breakout-kit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for breakout-pattern-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/themattberman/creator-breakout-kit/breakout-pattern-research.svg)](https://agentmods.dev/skills/themattberman/creator-breakout-kit/breakout-pattern-research)
Your own site
<a href="https://agentmods.dev/skills/themattberman/creator-breakout-kit/breakout-pattern-research"><img src="https://agentmods.dev/badge/skills/themattberman/creator-breakout-kit/breakout-pattern-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,098 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00078 $0.01098
Opus 5 $0.00039 $0.00549
Sonnet 5 $0.00016 $0.00220
Haiku 4.5 $0.00008 $0.00110

Measured 5d ago against content hash c76292c2a0a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

breakout-pattern-research 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 5d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/video_intelligence.py, scripts/virlo_outlier_research.py, scripts/virlo_tracking_intelligence.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/breakout-pattern-research/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Breakout Pattern Research

Purpose

Find repeatable breakout content patterns using outlier behavior, not creator popularity.

Package contract

Use from the creator-breakout-kit repo root. Paths are relative to that root.

Primary data source

  • Preferred: Virlo or equivalent post-level performance dataset with creator baselines.
  • Fallback: manual social review, but label output as constrained and lower confidence.

Evidence limitation

Treat Virlo as metadata-only unless the adapter output explicitly includes transcripts, OCR, frame-level analysis, human-reviewed video notes, or video-intelligence.json. Captions, descriptions, hashtags, topics, thumbnails, and outlier ratios can support pattern hypotheses, but they do not prove what visually happens in a video.

When SCRAPECREATORS_API_KEY and OPENROUTER_API_KEY are configured, run python3 skills/breakout-pattern-research/scripts/video_intelligence.py --run-dir "$RUN_DIR" --limit 3 --max-video-mb 20 after enrichment and before full-kit synthesis. This uses ScrapeCreators plus Gemini to add content DNA for promoted TikTok/Reels posts. It sends video assets inline when they fit under the size cap, otherwise it falls back to metadata/transcript/cover-image inputs.

When audience language would materially improve the brief and VIRLO_API_KEY is configured, optionally run python3 skills/breakout-pattern-research/scripts/virlo_tracking_intelligence.py --research-dir "$RESEARCH_DIR" --limit 3 --track videos --scrape-cadence weekly. Treat virlo-audience-signals.json as comment-derived directional signal, not statistically representative market research. The first run may queue tracking only; rerun the adapter later when Virlo reports are ready.

Inputs

  • Category / niche
  • Platform focus
  • Optional data source notes (Virlo/ScrapeCreators/manual)
  • Optional Virlo Tracking audience signals
  • Optional brand snapshot for tighter scoring

Outputs

  • breakout_patterns (3-5)
  • hook_styles (3-5)
  • outlier_evidence_notes
  • pattern_confidence_scores
  • source_posts
  • research_mode_used
  • optional audience_signals

Read the full file on GitHub · 84 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 5d ago First seen · 84 lines · 78 tokens per session scan A c76292c2a0a7

Subscribe to this mod's changes

breakout-pattern-research is a skill published in the GitHub repository TheMattBerman/creator-breakout-kit (9 stars, last pushed 4mo ago), licensed MIT. It adds 78 tokens to every session and 1,098 once invoked, about $0.0004 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 2026-08-31.

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