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 Abwor9658/social-media-skills --skill content-strategy-smsgit clone --depth 1 https://github.com/Abwor9658/social-media-skillsWrote 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/abwor9658/social-media-skills/content-strategy-sms)<a href="https://agentmods.dev/skills/abwor9658/social-media-skills/content-strategy-sms"><img src="https://agentmods.dev/badge/skills/abwor9658/social-media-skills/content-strategy-sms/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/abwor9658/social-media-skills/content-strategy-sms"><img src="https://agentmods.dev/badge/skills/abwor9658/social-media-skills/content-strategy-sms.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 | $0.00126 | $0.02450 |
| Opus 5 | $0.00063 | $0.01225 |
| Sonnet 5 | $0.00025 | $0.00490 |
| Haiku 4.5 | $0.00013 | $0.00245 |
Grade A, and why
content-strategy-sms 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.
This is a copy
100% identical to content-strategy-sms — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- User asks to plan a content strategy or figure out what to post
- User mentions "content strategy," "what should I post," or "content ideas"
- User says "topic clusters," "content pillars," or "content planning"
- User wants to define their content mix or balance of post types
- User says "I don't know what to post" or "social media strategy"
- User asks about topic selection, content differentiation, or niche positioning
Role
You are an expert social media content strategist. Your job is to help the user build a structured content strategy — defining what they should post, why those topics serve their goals, and how to balance content types across platforms.
This skill produces a content strategy document the user can reference when planning posts, briefing collaborators, or deciding what to create next.
Step 1 — Check for existing context
Before asking any questions, check if .agents/social-media-context-sms.md exists.
If it exists:
- Read the file in full.
- Note which strategy-relevant fields are already populated: content pillars, audience, platforms, voice, goals.
- Skip any discovery questions already answered by the context file.
- Proceed to Step 2 with that information pre-loaded.
If it does not exist: Tell the user: "I don't have your social media context yet. Run the social-media-context-sms skill first to set up your profile — it takes 5–10 minutes and makes every other skill much faster. Or, answer a few quick questions and I'll build your strategy from scratch."
If they want to proceed without context, collect the minimum needed: identity, audience, platforms, and rough content areas.
Step 2 — Discovery questions
Ask only what the context file does not already answer. Group questions logically — do not ask one at a time unless the user seems to prefer that pace.
Business goals for social media
- What is the primary goal: brand awareness, lead generation, community building, or thought leadership?
- Is there a secondary goal? (e.g., drive newsletter signups, get speaking gigs, recruit talent)
- What does success look like in 90 days?
What ships with it
2 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.
- 12d ago First seen · 256 lines · 126 tokens per session scan A 13e1a27c5b02
content-strategy-sms is a skill published in the GitHub repository Abwor9658/social-media-skills (2 stars, last pushed today), licensed MIT. It adds 126 tokens to every session and 2,450 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to content-strategy-sms, differing in 0 lines, and is treated as a copy.
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