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 agentmods add skills/moses607/socialforge/content-strategy-enginenpx skills add moses607/socialforge --skill content-strategy-enginegit clone --depth 1 https://github.com/moses607/socialforgeWhat 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 | $0.00101 | $0.01110 |
| Opus 5 | $0.00051 | $0.00555 |
| Sonnet 5 | $0.00020 | $0.00222 |
| Haiku 4.5 | $0.00010 | $0.00111 |
Grade A, and why
content-strategy-engine 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 yesterday.
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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Strategy Engine
Virality is variance; a system is compounding. Growth comes from shipping predictable, on-theme content long enough for the algorithm and the audience to learn what you are for. First-principles: pick a narrow niche, own 3-5 topics, produce them on a fixed cadence in proven formats, and recycle every winner into five more assets. You are not chasing one hit — you are building a machine that makes hits likely.
1. Define pillars (the 3-5 topics you own)
- Write your niche in one line:
I help [audience] achieve [outcome] without [pain]. - Derive 3-5 pillars — recurring topics you can post about for a year without repeating. Too broad = forgettable; more than 5 = diluted.
- Assign an output % split. Default: Pillar A 40% (your signature topic), B 25%, C 20%, D 15%. The 40% pillar is what you want to be known for.
- Pressure-test: each pillar must map to a real audience pain and a search or scroll intent. If you can't name the pain, cut it.
2. Set the content ratio (why you post, not just what)
Balance every week across four jobs so you earn the right to sell:
- Value 50% — teach something usable in 60 seconds. Builds trust and saves/shares.
- Story 25% — personal narrative, failure, behind-the-scenes. Builds connection and comments.
- Social proof 15% — results, testimonials, case studies. Builds credibility.
- Promo 10% — direct offer/CTA. You may only sell this hard because 90% gave first. Never invert this. Promo-heavy feeds starve reach because they generate no saves or shares.
3. Run the format library + repurposing loop
Rotate proven formats so pillars never feel repetitive:
- Listicle — "7 X that Y". Fast, saveable.
- Tutorial — step-by-step how-to. High save rate.
- Story — problem → struggle → turn → lesson.
- Contrarian take — "Everyone says X. They're wrong." High comments.
- Reaction — respond to a trend/news in your niche.
- Case study — one real result, deconstructed.
Repurposing loop — 1 pillar post becomes 5 assets:
- Long-form pillar (video/thread/article) = the source.
- Cut 2-3 short clips or standalone hooks.
- Pull 1 carousel/infographic from the key points.
- Extract 1 quote/text post.
- Reframe the comments/Q&A into a follow-up.
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.
- yesterday First seen · 72 lines · 101 tokens per session scan A 1f82b5a36d06
content-strategy-engine is a skill published in the GitHub repository moses607/socialforge (2 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 1,110 once invoked, about $0.0005 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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