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 canvora/canvora-mcp --skill instagram-carouselgit clone --depth 1 https://github.com/canvora/canvora-mcpWrote 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/canvora/canvora-mcp/instagram-carousel)<a href="https://agentmods.dev/skills/canvora/canvora-mcp/instagram-carousel"><img src="https://agentmods.dev/badge/skills/canvora/canvora-mcp/instagram-carousel/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/canvora/canvora-mcp/instagram-carousel"><img src="https://agentmods.dev/badge/skills/canvora/canvora-mcp/instagram-carousel.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 | $0.00057 | $0.01357 |
| Opus 5 | $0.00028 | $0.00678 |
| Sonnet 5 | $0.00011 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00136 |
Grade A, and why
instagram-carousel 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 9d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instagram Carousel Creation
Map the user's intent onto the right Canvora levers. Canvora's carousel
pipeline owns the design execution — layout, composition, imagery, visual
variety per slide. Your job is the content and the parameters. Setup, credits,
and general CLI usage: see the canvora skill.
Intake — ask only what you can't infer
Usually you already know the topic. Then you need at most two more things:
- How many items? ("5 tips" → 5, plus a cover if they want one). If they don't say, use 6.
- Whose brand? If a client/company is named →
canvora brands --json→--brand. If they have no kit, don't ask again.
Anything else — style, language, CTA — infer it and state your assumption in one line when you report back. Do not run a questionnaire.
The rule that matters
Don't art-direct slide by slide. Do not prescribe per-slide layouts, color values, or illustration details; over-specified briefs fight the tuned format pipeline and produce worse, samey output.
But do carry the user's stated look. If they said "black and white with big type" or "hand-drawn", pass it through as one line of overall direction. It is honoured, and dropping it is the more common and more damaging mistake. The line is: overall aesthetic = yes, slide-by-slide instructions = no.
Parameter mapping (your actual job)
| User intent | Lever |
|---|---|
| Any IG carousel | --format instagram_carousel_portrait (1080×1350 — outperforms square for reach). Square (instagram_carousel) only if they ask for it. |
| "N tips/mistakes/steps" | --slides instagram_carousel_portrait=N (or N+1 with a cover). Never leave a promised count unmatched. No count promised → 6. |
| A named client or brand | canvora brands --json → --brand <uuid>. Mandatory when a kit exists. Add --logo to actually stamp the logo. |
| Tone words | --style: educational/punchy → bold; clean/professional → modern or minimal; luxury/coaching → elegant; consumer/fun → playful. |
| No tone signal at all | --style modern. Note: omitting the flag does NOT auto-pick — it pins modern anyway. Choosing deliberately is free. |
| "End with a follow/save CTA" | --cta (final slide becomes the call to action) |
| Exact wording required (quotes, taglines) | --input "..." --exact |
| User gave a topic only | --idea (Canvora develops the substance) |
| User gave finished content | --input (wording respected) |
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.
- 9d ago First seen · 99 lines · 57 tokens per session scan A 5e948017d444
instagram-carousel is a skill published in the GitHub repository canvora/canvora-mcp (0 stars, last pushed 27d ago), licensed MIT. It adds 57 tokens to every session and 1,357 once invoked, about $0.0003 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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