Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/slogsdon/skills-designnpx agentmods add skills/slogsdon/skills-design/design-instagram-postWrote 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/slogsdon/skills-design/design-instagram-post)<a href="https://agentmods.dev/skills/slogsdon/skills-design/design-instagram-post"><img src="https://agentmods.dev/badge/skills/slogsdon/skills-design/design-instagram-post/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/slogsdon/skills-design/design-instagram-post"><img src="https://agentmods.dev/badge/skills/slogsdon/skills-design/design-instagram-post.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 | $0.00107 | $0.03124 |
| Opus 5 | $0.00053 | $0.01562 |
| Sonnet 5 | $0.00021 | $0.00625 |
| Haiku 4.5 | $0.00011 | $0.00312 |
Grade A, and why
design-instagram-post 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 12d 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: instagram-post
Produces a pixel-exact HTML canvas for Instagram. Three canvas modes:
portrait(default, 1080×1350) — feed post in 4:5 ratio, the maximum vertical real estate Instagram allowssquare(1080×1080) — classic feed square, useful for grid coherencestory(1080×1920) — vertical 9:16 for Stories and Reels covers
Plus an optional caption suggestion (2200-char limit; first 125 chars visible before "more").
When to use
- User wants a visual asset for Instagram (feed post, carousel cover, story, reel cover)
- A
DESIGN.mdexists for the brand
Inputs
- Required: brand slug, post topic / title (1 line)
- Optional: mode (
portrait|square|story, defaultportrait), supporting line, attribution, caption style, hashtag set
Output
./design/<brand-slug>/artifacts/instagram-<mode>-YYYY-MM-DD-<slug>.html
Steps
1. Verify brand exists
test -f ./design/<brand-slug>/tokens.css
2. Pick mode
Default portrait (1080×1350) — gets the most feed space and converts best.
Use square if user explicitly asks for grid coherence with existing square posts.
Use story for Stories or Reel covers.
3. Gather the brief
Ask in one message:
1. Headline — the dominant text on the canvas (max 8 words for portrait/square, max 6 for story)
2. Optional supporting line (max 12 words)
3. Attribution — name + handle, or leave blank
4. Caption style: insight | story | announcement | carousel-intro | reel-cover | none
5. Hashtag set: any specific tags, or leave blank for none
4. Pick variation — ARCHITECTURE FIRST
Pick ONE archetype before any other axis. Portrait dimensions invite vertical type stacking and number-led layouts that horizontal formats don't — use them.
- Architecture archetype (pick FIRST):
chrome-led— eyebrow + headline + footer band. Last resort. AI-editorial default.type-only— pure type, no chrome.number-led— one oversized number dominates; rest is short caption. Portrait format suits this beautifully.object-of-content— looks like the thing being communicated (a list, a transcript fragment, a printed page, a journal entry).pattern-led— typographic repetition or grid fills canvas; one element breaks it.inverse-text— headline carved from a block of body copy; or massive headline with body wrapping negative space.vertical-stack— words stacked one per line in display weight, leveraging portrait height. Each line is its own statement.
What ships with it
1 file 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.
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.
- 12d ago First seen · 280 lines · 107 tokens per session scan A f54119731d8a
design-instagram-post is a skill published in the GitHub repository slogsdon/skills-design (3 stars, last pushed 28d ago), licensed MIT. It adds 107 tokens to every session and 3,124 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 2026-08-31.
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