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-blog-heroWrote 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-blog-hero)<a href="https://agentmods.dev/skills/slogsdon/skills-design/design-blog-hero"><img src="https://agentmods.dev/badge/skills/slogsdon/skills-design/design-blog-hero/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-blog-hero"><img src="https://agentmods.dev/badge/skills/slogsdon/skills-design/design-blog-hero.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 | $0.00119 | $0.02430 |
| Opus 5 | $0.00060 | $0.01215 |
| Sonnet 5 | $0.00024 | $0.00486 |
| Haiku 4.5 | $0.00012 | $0.00243 |
Grade A, and why
design-blog-hero 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: blog-hero
Produces a single self-contained HTML file containing TWO pixel-exact canvases:
- OG card (1200×630) — Open Graph / Twitter card dimensions for social link unfurls
- In-page hero (1440×600) — wide format for the article's header section on the site
The same headline + meta render in both canvases at appropriate proportions. Screenshot each canvas separately for its respective use.
When to use
- Publishing a blog post / field note that needs both an OG meta image and a page header asset
- A
DESIGN.mdexists for the brand
Inputs
- Required: brand slug, post title / hero headline (1 sentence, ending in period per brand voice)
- Optional: dek (1 supporting sentence), category label, dateline, optional type-accent word (one word in the headline to set in
--color-accent)
Output
./design/<brand-slug>/artifacts/blog-hero-YYYY-MM-DD-<slug>.html — single file, two canvases stacked vertically with a labeled header above each so it's clear which to screenshot for which use.
Steps
1. Verify brand exists
test -f ./design/<brand-slug>/tokens.css
If missing, stop and tell the user to run /design-system <brand-slug> first.
2. Gather the brief
Ask in one message:
1. Hero headline — the post's title, sentence-case ending in period (max ~12 words for legibility at OG thumbnail size)
2. Optional dek — 1 supporting sentence (max ~18 words)
3. Category label — short string (e.g. "field notes", "strategic insights")
4. Dateline — YYYY.MM.DD
5. Optional type-accent word — one word from the headline to set in the brand's accent color
3. Pick variation — ARCHITECTURE FIRST
Pick ONE archetype that applies to BOTH canvases (consistency between OG and in-page hero is important for brand recognition):
chrome-led— eyebrow + headline + dateline + category. Use cautiously — it's the AI-editorial default.type-only— headline only at maximum scale; nothing else. Strongest for short titles.inverse-text— body copy fills surface; headline carved out of the type wall.object-of-content— looks like a fragment of the actual article (excerpt, pull-quote pattern, transcript line).pattern-led— typographic pattern fills surface; headline is the punctum.
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 · 196 lines · 119 tokens per session scan A 8e41d6e75541
design-blog-hero is a skill published in the GitHub repository slogsdon/skills-design (3 stars, last pushed 28d ago), licensed MIT. It adds 119 tokens to every session and 2,430 once invoked, about $0.0006 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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