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 nicojunk/claude-ig --skill ig-repurposegit clone --depth 1 https://github.com/nicojunk/claude-igWrote 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/nicojunk/claude-ig/ig-repurpose)<a href="https://agentmods.dev/skills/nicojunk/claude-ig/ig-repurpose"><img src="https://agentmods.dev/badge/skills/nicojunk/claude-ig/ig-repurpose/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/nicojunk/claude-ig/ig-repurpose"><img src="https://agentmods.dev/badge/skills/nicojunk/claude-ig/ig-repurpose.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 | $0.00050 | $0.01926 |
| Opus 5.5 | $0.00020 | $0.00770 |
| Sonnet 5.5 | $0.00010 | $0.00385 |
| Haiku 4.5 | $0.00005 | $0.00193 |
Grade A, and why
ig-repurpose 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 2mo 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IG Repurpose -- Cross-platform content repurposing
Key references:
references/repurpose-playbook.md-- platform-specific rules, adaptation patterns, timing offsetsreferences/format-specs.md-- Instagram format specs (source format reference)references/content-rules.md-- brand voice baseline for adaptation
Phase 1: Source Analysis
Identify and analyze the Instagram post to repurpose:
-
Post identification: Get the post URL, ID, or description from the user.
-
Content extraction: Document the following from the source post:
- Format (Reel, Carousel, Single Image, Story)
- Duration (if video)
- Caption (full text)
- Hook (first 3 seconds or cover slide)
- Core message (one sentence summary)
- CTA (what action was requested)
- Performance data (if available: engagement rate, saves, shares)
- Visual assets list (clips, images, graphics)
-
Repurpose potential assessment:
- Is the content evergreen or time-sensitive?
- Is it platform-specific (e.g., uses IG-only features like polls)?
- Does it contain affiliate content (disclosure rules change per platform)?
- How well did it perform on Instagram? (high performers repurpose best)
-
Ask the user which target platforms to repurpose for, or suggest based on content type.
Phase 2: Platform Adaptation
Apply platform-specific rules for each target:
TikTok
| Dimension | Rule |
|---|---|
| Aspect Ratio | 9:16 (same as Reels) |
| Duration | 15-60s optimal (shorter than IG Reels) |
| Hook | Must be faster. First 1 second, not 3. |
| Text Overlays | Larger, more frequent. TikTok audience skims faster. |
| Audio | Replace IG audio with trending TikTok sound if possible |
| Caption | Shorter (max 150 chars for visibility). Hashtags: 3-5 niche. |
| CTA | "Folgen fuer mehr" or "Teil 2?" (TikTok rewards follow CTAs) |
| Posting Delay | Post 24-48 hours AFTER Instagram (IG gets priority) |
| Watermark | REMOVE any Instagram watermark before posting to TikTok |
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.
- 2mo ago First seen · 213 lines · 50 tokens per session scan A 107cf788217a
ig-repurpose is a skill published in the GitHub repository nicojunk/claude-ig (23 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,926 once invoked, about $0.0002 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 2026-08-30.
ig-repurpose compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ig-repurposenicojunk/claude-ig | Skill | 23 | 2mo ago | MIT | A | 50 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |