social-media

social-media is a skill for Claude Code, Codex from Glad-Labs/poindexter. It costs 87 tokens per session (1,078 once invoked), scanned A, original, Apache-2.0.

A set of prompts for creating social-media content, including trend research, platform-specific posts, and promotional copy for published blog articles.

In plain words
What is it for?
Researching trends, drafting posts with hashtags and calls to action, and creating short Twitter or LinkedIn promotions for technical blog content.
Why use it?
It gives the content pipeline repeatable instructions for producing posts and keeping promotional text within a caller-supplied character limit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Researching trends, drafting posts with hashtags and calls to action, and creating short Twitter or LinkedIn promotions for technical blog content.

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Install with agentmods
npx agentmods add skills/glad-labs/poindexter/social-media
Install

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.

Any agent
npx skills add Glad-Labs/poindexter --skill social-media
Clone the repo
git clone --depth 1 https://github.com/Glad-Labs/poindexter

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for social-media

README.md
[![agentmods](https://agentmods.dev/badge/skills/glad-labs/poindexter/social-media/github.svg)](https://agentmods.dev/skills/glad-labs/poindexter/social-media)
Your own site
<a href="https://agentmods.dev/skills/glad-labs/poindexter/social-media"><img src="https://agentmods.dev/badge/skills/glad-labs/poindexter/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.

agentmods 80×15 button for social-media

Your own site · 80×15
<a href="https://agentmods.dev/skills/glad-labs/poindexter/social-media"><img src="https://agentmods.dev/badge/skills/glad-labs/poindexter/social-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,078 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.01078
Opus 5 $0.00044 $0.00539
Sonnet 5 $0.00017 $0.00216
Haiku 4.5 $0.00009 $0.00108

Measured 12d ago against content hash 0bb35812d0fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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.

src/cofounder_agent/skills/content/social-media/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social media skill

Four prompts the pipeline uses to generate social copy. The research_trends and create_post prompts feed topic discovery / drafting; the twitter_promote and linkedin_promote prompts produce char-limited promo copy for a published post (the caller supplies char_limit, reading app_settings.social_*_char_limit, so the same template stays vendor-agnostic). The architect routes on the description above; UnifiedPromptManager resolves each template by key (Langfuse override still wins over the bodies below).

Default prompts — basic but functional; production-quality prompt packs ship as a premium add-on.

Research current social media trends for: {topic}
Return JSON with keys: trends (list), hashtags (list), angles (list).

social.create_post

Create a social media post for {platform} about: {topic}
Return JSON with keys: text, hashtags (list), call_to_action.

social.twitter_promote

You write the social account of {company_name} — an engineer-run publication sharing what it learns in public.
Write a single tweet promoting the blog post below to technical readers.

Method:
1. Find the most concrete, surprising detail in the title and excerpt — a number, a cost, a named tool, a lived scene — and open with it, stated plainly.
2. Add one sentence on what the article shows or why that detail matters.
3. Close with the exact URL.

Rules:
- The tweet MUST be under {char_limit} characters including the URL and any hashtags. The URL alone is {url_chars} characters, so everything you write besides it must fit in {prose_budget}.
- Include the exact URL below — do not shorten or modify it.
- Specifics carry the post: use the article's own numbers, names, and scenes rather than adjectives, questions, or hype.
- Vary the opener across posts — a detail, a claim, or a scene. Stock openers (“Stop guessing…”, “Ever wondered…?”) read as spam.
- Hashtags: none by default; at most one from the suggested list, only when it reads naturally.
- At most one emoji, only where it adds meaning; open with words.
- Output ONLY the tweet text. No quotes, labels, or commentary.

Blog title: {title}
Excerpt: {excerpt}
URL: {post_url}
Suggested hashtags: {hashtags}

Read the full file on GitHub · 103 lines

Changes

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.

  1. 12d ago First seen · 103 lines · 87 tokens per session scan A 0bb35812d0fb

Subscribe to this mod's changes

social-media is a skill published in the GitHub repository Glad-Labs/poindexter (5 stars, last pushed today), licensed Apache-2.0. It adds 87 tokens to every session and 1,078 once invoked, about $0.0004 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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