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 Ckokoski/AuthorAgent --skill social-mediagit clone --depth 1 https://github.com/Ckokoski/AuthorAgentWrote 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/ckokoski/authoragent/social-media)<a href="https://agentmods.dev/skills/ckokoski/authoragent/social-media"><img src="https://agentmods.dev/badge/skills/ckokoski/authoragent/social-media/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/ckokoski/authoragent/social-media"><img src="https://agentmods.dev/badge/skills/ckokoski/authoragent/social-media.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 | $0.00013 | $0.00325 |
| Opus 5 | $0.00006 | $0.00162 |
| Sonnet 5 | $0.00003 | $0.00065 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
social-media 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 11d 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.
What it actually says
Social Media Marketing Skill
Create platform-specific promotional content for authors.
Platform-Specific Content
Twitter/X (280 chars)
- Hook + micro-pitch + link
- Quote from book (under 15 words) + "From my upcoming [genre]"
- Engagement: "What's your favorite [trope]?"
- Behind-the-scenes: Writing stats, process reveals
Instagram / Bookstagram
- Aesthetic flat-lay caption ideas
- Carousel: "5 things about my protagonist"
- Story polls: "Which cover do you prefer?"
- Reel script: 15-second book pitch
TikTok / BookTok
- Hook-first 3-second scripts
- "POV: You're reading [book] and..."
- Trope reveal videos
- Writing process content
- Longer narrative posts (personal story + book connection)
- Reader group engagement prompts
- Launch day templates
Content Calendar
Help plan a 30-day launch strategy:
- Week 1-2: Tease and build anticipation
- Week 3: Reveal (cover, blurb, date)
- Week 4: Launch week (daily content)
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.
- 11d ago First seen · 52 lines · 13 tokens per session scan A c9775835d15b
social-media is a skill published in the GitHub repository Ckokoski/AuthorAgent (106 stars, last pushed 2mo ago), licensed MIT. It adds 13 tokens to every session and 325 once invoked, about $0.0001 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 2026-08-30.
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