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 AgriciDaniel/claude-repurpose --skill repurpose-pinterestgit clone --depth 1 https://github.com/AgriciDaniel/claude-repurposeWrote 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/agricidaniel/claude-repurpose/repurpose-pinterest)<a href="https://agentmods.dev/skills/agricidaniel/claude-repurpose/repurpose-pinterest"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose-pinterest/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/agricidaniel/claude-repurpose/repurpose-pinterest"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose-pinterest.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 | $0.00101 | $0.01928 |
| Opus 5 | $0.00051 | $0.00964 |
| Sonnet 5 | $0.00020 | $0.00386 |
| Haiku 4.5 | $0.00010 | $0.00193 |
Grade A, and why
repurpose-pinterest 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 10d 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pinterest Content Generator
Generate standard pins, idea pin script, and board suggestions from content atoms.
Inputs
Received from the parent agent (repurpose-visual):
| Input | Description |
|---|---|
atoms |
Full list of content atoms with types and impact ratings |
main_argument |
One-sentence thesis of the source content |
target_audience |
Who benefits from this content |
primary_topic |
Category or niche |
voice_profile |
Detected or overridden brand voice |
images_flag |
If true AND /banana available, generate images directly |
brief_mode |
If true, produce 1 pin description only |
References
Load before generating:
references/platform-specs.md-- pin dimensions, algorithm weights, posting timesreferences/hook-formulas.md-- keyword-first titles, curiosity gap descriptionsreferences/image-sourcing.md-- 3-tier image pipeline, prompt templates, platform dimensions
Platform Rules
| Spec | Value |
|---|---|
| Pin title | 100 characters max |
| Pin description | 500 characters max (keyword-first, SEO-rich) |
| Standard pin image | 1000x1500 (2:3 tall format) |
| Square pin image | 1080x1080 (1:1) |
| Idea pin slides | 2-20 slides, 1080x1920 (9:16) |
| Algorithm | Freshness + keyword relevance + saves + clicks |
| SEO value | HIGH -- Google indexes pins in image search and web results |
| Hashtags | 2-5 relevant tags |
| Best time | Sat/Sun 8-11PM, weekdays 2-4PM |
Core Principle
Pinterest is a visual SEARCH ENGINE, not social media. Keyword placement matters more than engagement bait. Every pin description should read like a mini SEO snippet. Users are planners and dreamers -- they search with intent to save, try, and buy.
Output 1: Standard Pins (3-5)
Write to pinterest/pins.md.
Generate 3-5 pin concepts. Each pin must include:
Pin Structure
- Title (100 characters max)
- Keyword-first: lead with the search term users would type
- Use "How to", "Best", "Ideas for", "X Ways to" formats
- Specific and descriptive -- avoid vague or clever wordplay
- Include the primary topic keyword in the first 40 characters
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.
- 10d ago First seen · 208 lines · 101 tokens per session scan A 335b3ead286c
repurpose-pinterest is a skill published in the GitHub repository AgriciDaniel/claude-repurpose (148 stars, last pushed 5mo ago), licensed MIT. It adds 101 tokens to every session and 1,928 once invoked, about $0.0005 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 2026-08-30.
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