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 Cloudgeni-ai/opengeni --skill social-media-marketinggit clone --depth 1 https://github.com/Cloudgeni-ai/opengeniWrote 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/cloudgeni-ai/opengeni/social-media-marketing)<a href="https://agentmods.dev/skills/cloudgeni-ai/opengeni/social-media-marketing"><img src="https://agentmods.dev/badge/skills/cloudgeni-ai/opengeni/social-media-marketing/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/cloudgeni-ai/opengeni/social-media-marketing"><img src="https://agentmods.dev/badge/skills/cloudgeni-ai/opengeni/social-media-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00364 |
| Opus 5 | $0.00019 | $0.00182 |
| Sonnet 5 | $0.00008 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
social-media-marketing 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 13d 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
Use this skill for scheduled or ad hoc marketing analysis over connected social media accounts.
Workflow
- Call
opengeni__social_daily_analysis_contextfirst with the selectedconnectionIds,documentBaseIds, and a 24 hour window unless the user requested another window. - If you need narrower post data, call
opengeni__social_posts_recentwith explicit connection IDs and date bounds. - If document base IDs are available, use the docs MCP search tools for brand voice, campaign calendars, audience research, messaging rules, and reporting definitions.
- Produce a report with:
- Executive summary
- Notable account changes
- Winning posts
- Underperforming posts
- Audience and content signals
- Recommended actions for the next 24 hours
- Data gaps and caveats
Analysis Rules
- Use only metrics, posts, account data, and document snippets returned by tools.
- Do not invent impressions, engagement, conversions, sentiment, follower counts, or platform capabilities.
- Treat missing metrics as missing data and say what integration or provider sync would be needed.
- Compare posts with like-for-like metrics from the same platform when possible.
- Keep recommendations concrete: target account, content theme, suggested action, expected signal to monitor.
- Separate observation from recommendation.
Output Style
Prefer a concise structured report. Include exact post URLs or external IDs when available. If there are no posts in the window, provide account-level gaps and next data collection steps instead of filler analysis.
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.
- 13d ago First seen · 36 lines · 38 tokens per session scan A d2da2bd1d6fb
social-media-marketing is a skill published in the GitHub repository Cloudgeni-ai/opengeni (128 stars, last pushed yesterday), licensed Apache-2.0. It adds 38 tokens to every session and 364 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 2026-08-30.
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