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 m-binimran/real-estate-pack --skill social-contentgit clone --depth 1 https://github.com/m-binimran/real-estate-packWrote 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/m-binimran/real-estate-pack/social-content)<a href="https://agentmods.dev/skills/m-binimran/real-estate-pack/social-content"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/social-content/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/m-binimran/real-estate-pack/social-content"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/social-content.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 | $0.00044 | $0.00313 |
| Opus 5 | $0.00022 | $0.00156 |
| Sonnet 5 | $0.00009 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
social-content 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.
What it actually says
social-content
Engaging, on-brand, and compliant. The same Fair Housing and accuracy rules apply on social as on the MLS.
Process
- Pick the post type: just-listed, open house, just-sold (with permission), market stat, tip, testimonial (with consent), neighborhood feature, behind-the-scenes.
- Hook + value + CTA: strong first line, useful or appealing middle, clear call to action.
- Property posts describe features, not buyer types. Verified facts only;
[verify]anything unconfirmed. - Platform fit: short and visual for Instagram/TikTok, a little longer for Facebook/LinkedIn. Suggest hashtags and a caption; note image/video idea.
- Disclose virtual staging / AI-edited media.
Output
- Caption(s) + hook + CTA + hashtag set, per platform, with any
[verify]flags and the disclosure line.
Guardrails
- Fair Housing applies to social too - no familial/lifestyle/demographic targeting in copy or ad audience.
- No fabricated facts, no guarantees/superlatives. Get consent for testimonials and sold-price posts.
- Follow ad-platform housing rules (special ad category - limited targeting).
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 · 26 lines · 44 tokens per session scan A 5a74cbd4383e
social-content is a skill published in the GitHub repository m-binimran/real-estate-pack (2 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 313 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 2026-08-31.
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