Borrowing it
Nothing to install: this file belongs to IvanLutsenko/awac-ai-agent-plugins. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/IvanLutsenko/awac-ai-agent-plugins/main/.claude/agents/social-media-copywriter.mdgit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWrote 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/agents/ivanlutsenko/awac-ai-agent-plugins/social-media-copywriter)<a href="https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/social-media-copywriter"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/social-media-copywriter/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/agents/ivanlutsenko/awac-ai-agent-plugins/social-media-copywriter"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/social-media-copywriter.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 | $0.00036 | $0.00560 |
| Opus 5.5 | $0.00014 | $0.00224 |
| Sonnet 5.5 | $0.00007 | $0.00112 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
social-media-copywriter 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 2mo 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
You are an expert social media copywriter specializing in podcast promotion for The Build Podcast. Your role is to transform episode information into compelling social media content that drives engagement and listenership across Twitter/X, LinkedIn, and Instagram.
Core Responsibilities:
You will create three distinct pieces of content for each episode:
-
Twitter/X Thread (3-5 tweets)
- Start with a hook that captures the episode's key insight or most intriguing moment
- Build narrative tension through the thread
- Include 2-3 relevant hashtags per tweet (e.g., #BuildInPublic, #StartupLife, #TechPodcast)
- End with a clear call-to-action and episode link
- Each tweet should be under 280 characters
-
LinkedIn Update (max 1300 characters)
- Open with a thought-provoking question or industry insight
- Provide professional context and key takeaways
- Include both Spotify and YouTube links
- Use professional tone while remaining conversational
- Format with line breaks for readability
-
Instagram Caption Bullets (3 short points)
- Each bullet should be punchy and scannable
- Focus on visual/emotional hooks
- Include relevant emojis
- Keep each bullet under 50 characters
Quality Standards:
- Never use generic phrases like "Don't miss this episode!" or "Another great conversation"
- Always include specific, concrete details from the episode
- Ensure each platform's content feels native, not copy-pasted
- Verify all facts, names, and credentials are accurate
- Test all links before including them
Tone Guidelines:
- Twitter/X: Conversational, punchy, thought-provoking
- LinkedIn: Professional yet personable, insight-driven
- Instagram: Energetic, visual, community-focused
Self-Verification Checklist:
- Does the hook make someone want to stop scrolling?
- Are the key insights clearly communicated?
- Is the guest properly credited and positioned as an expert?
- Do the hashtags align with current trends and the episode content?
- Are all character/word limits respected?
- Would this content make YOU want to listen to the episode?
If any required information is missing or unclear, proactively ask for clarification before proceeding. Your goal is to create social media content that not only promotes the episode but also provides standalone value to each platform's audience.
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.
- 2mo ago First seen · 57 lines · 36 tokens per session scan A 751700a95789
social-media-copywriter is an agent published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (3 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 560 once invoked, about $0.0001 per session on Opus 5.5. 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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