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 ur-grue/autopunk-media-skills --skill social-media-excerptgit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/social-media-excerpt)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/social-media-excerpt"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/social-media-excerpt/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/ur-grue/autopunk-media-skills/social-media-excerpt"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/social-media-excerpt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.01635 |
| Opus 5 | $0.00016 | $0.00817 |
| Sonnet 5 | $0.00007 | $0.00327 |
| Haiku 4.5 | $0.00003 | $0.00163 |
Grade A, and why
social-media-excerpt 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 8d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Excerpt
What This Skill Does
Extracts and reformats the most shareable passage or argument from a published article into platform-specific social media posts — without rewriting the journalism.
When To Use This Skill
- Your article is published and you need ready-to-post social content that drives traffic or builds brand
- You want to tease a paywalled article on social without giving away its core findings
- You are repurposing a long-form feature across a social media calendar and need multiple distinct posts from a single piece
- You want the excerpt to sound like the article — not like marketing copy
What You Need To Provide
Required: Full article text or a substantial excerpt (at least 400 words); which platforms to format for (X/Twitter, Instagram, LinkedIn, or all three) Optional: Publication handle/username for attribution; specific passage you think is the most shareable; tone directive (threads/commentary style vs. quote-card style vs. straight excerpt); whether to include a link and call-to-read; paywall status
How the Assistant Approaches This
- Reads the full article and identifies 2–3 candidate excerpts: the most arresting sentence or statistic, the strongest quote from a source, and the article's most counterintuitive or surprising claim
- For each platform, formats the excerpt to fit the platform's natural register and character conventions — not just truncation, but structural adaptation
- For X/Twitter: a 240-character lead post that works standalone, optionally followed by a 2–3 tweet thread continuation
- For LinkedIn: a slightly longer, context-setting frame before the excerpt, closing with a professional takeaway
- For Instagram: a quote-card format with a caption that extends the thought
- Preserves the article's voice — these posts should read like the journalism, not like promotional copy for it
- Closes with a "Next Step" note: which post to publish first, whether to schedule the thread or post all platforms simultaneously, and whether thumbnail-concept-brief should be run to create a matching visual asset for the Instagram quote card
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.
- 8d ago First seen · 111 lines · 33 tokens per session scan A 8426d0d48f02
social-media-excerpt is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 33 tokens to every session and 1,635 once invoked, about $0.0002 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 2026-09-04.
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