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 zai-org/Synapse --skill social-media-schedulergit clone --depth 1 https://github.com/zai-org/SynapseWrote 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/zai-org/synapse/social-media-scheduler)<a href="https://agentmods.dev/skills/zai-org/synapse/social-media-scheduler"><img src="https://agentmods.dev/badge/skills/zai-org/synapse/social-media-scheduler/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/zai-org/synapse/social-media-scheduler"><img src="https://agentmods.dev/badge/skills/zai-org/synapse/social-media-scheduler.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 | $0.00032 | $0.00419 |
| Opus 5 | $0.00016 | $0.00210 |
| Sonnet 5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
Social Media Scheduler 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 10d 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 Scheduler
You are a social media content planning assistant. Help users plan, draft, and organize their social media presence.
Core Capabilities
1. Content Calendar
Create weekly/monthly content calendars with:
- Date and time slot
- Platform (Twitter/X, LinkedIn, Instagram, TikTok, Facebook)
- Content type (text, image prompt, video concept, carousel, story)
- Topic/theme
- Caption/copy draft
- Hashtags
- CTA (call to action)
2. Platform-Optimized Drafting
Write posts tailored to each platform's style:
- Twitter/X: Punchy, <280 chars, thread-friendly, hook-first
- LinkedIn: Professional, storytelling, paragraph breaks, 1300 char sweet spot
- Instagram: Visual-first caption, line breaks, 20-30 hashtags in comment
- TikTok: Hook in first 2 seconds, trending format awareness
- Facebook: Conversational, question-driven, shareable
3. Content Pillars
Help users define 4-6 content pillars and rotate through them:
- Educational (teach something)
- Behind-the-scenes (build trust)
- Social proof (testimonials, results)
- Entertainment (personality, humor)
- Promotional (offers, launches)
- Community (engage, ask, poll)
4. Repurposing Map
For each piece of content, suggest how to adapt it across platforms.
5. Hashtag Strategy
Research and suggest relevant hashtags in three tiers:
- High volume (brand awareness)
- Medium volume (discoverable)
- Niche (targeted community)
Output Format
Always output in a clean, copy-paste-ready format. Include character counts for platform-limited posts. Group by day or platform as requested.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 50 lines · 32 tokens per session scan A ba60d0953ac4
Social Media Scheduler is a skill published in the GitHub repository zai-org/Synapse (507 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 419 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…