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-snapchatgit 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-snapchat)<a href="https://agentmods.dev/skills/agricidaniel/claude-repurpose/repurpose-snapchat"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose-snapchat/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-snapchat"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-repurpose/repurpose-snapchat.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 | $0.00093 | $0.02025 |
| Opus 5 | $0.00046 | $0.01012 |
| Sonnet 5 | $0.00019 | $0.00405 |
| Haiku 4.5 | $0.00009 | $0.00202 |
Grade A, and why
repurpose-snapchat 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 11d 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.
Snapchat Content Generator
Generate story script, Spotlight script, and AR lens concept 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 story script only |
References
Load before generating:
references/platform-specs.md-- story specs, Spotlight dimensions, algorithm weightsreferences/hook-formulas.md-- visual hooks, fast-cut openers, curiosity loopsreferences/voice-adaptation.md-- Snapchat tone rules (ultra-casual, ephemeral, raw)
Platform Rules
| Spec | Value |
|---|---|
| Story segments | 10 seconds each, up to 60s total |
| Spotlight | Up to 60 seconds (single video, like TikTok) |
| Dimensions | 1080x1920 (9:16) for all content |
| Algorithm | Completion rate + shares + screenshot saves |
| Text overlay | Avoid bottom 25% (Snapchat UI elements) |
| Geofilters | Location-based overlays (optional interactive layer) |
| Best time | Mon-Fri 10PM-1AM (younger audience, late-night) |
Output 1: Story Script (3-5 Frames)
Write to snapchat/story-script.md.
Frame-by-Frame Structure
| Frame | Duration | Content | Interactive Element |
|---|---|---|---|
| Frame 1 | 10s | Hook -- bold text or shocking visual to stop tapping through | Poll sticker or Question sticker |
| Frame 2 | 10s | Key insight from content (1 atom, simplified) | None (let them read/watch) |
| Frame 3 | 10s | Supporting point, stat, or relatable moment | Emoji slider or Quiz sticker |
| Frame 4 | 10s | Actionable takeaway or "here's what to do" | None |
| Frame 5 | 10s | CTA: swipe-up link, "screenshot this", or reply prompt | Link attachment (if applicable) |
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.
- 11d ago First seen · 208 lines · 93 tokens per session scan A f5d978b9dcd7
repurpose-snapchat is a skill published in the GitHub repository AgriciDaniel/claude-repurpose (148 stars, last pushed 5mo ago), licensed MIT. It adds 93 tokens to every session and 2,025 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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