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 Glad-Labs/poindexter --skill social-mediagit clone --depth 1 https://github.com/Glad-Labs/poindexterWrote 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/glad-labs/poindexter/social-media)<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.
<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>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 | $0.00087 | $0.01078 |
| Opus 5 | $0.00044 | $0.00539 |
| Sonnet 5 | $0.00017 | $0.00216 |
| Haiku 4.5 | $0.00009 | $0.00108 |
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.
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.
social.research_trends
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}
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 · 103 lines · 87 tokens per session scan A 0bb35812d0fb
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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