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 brainbytes-dev/everything-claude-marketing --skill ugc-strategygit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/ugc-strategy)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/ugc-strategy"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/ugc-strategy/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/brainbytes-dev/everything-claude-marketing/ugc-strategy"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/ugc-strategy.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 | $0.00025 | $0.02914 |
| Opus 5.5 | $0.00010 | $0.01166 |
| Sonnet 5.5 | $0.00005 | $0.00583 |
| Haiku 4.5 | $0.00003 | $0.00291 |
Grade A, and why
ugc-strategy 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UGC Strategy
When to Activate
- Building social proof for a new or growing brand
- Ad creative costs are high and performance is declining (UGC ads often outperform polished creative)
- Customer reviews and testimonials are sparse or unstructured
- Launching a UGC campaign or contest
- Scaling content production without proportionally scaling the content team
- Community building is a strategic priority
- Exploring influencer or creator partnerships that include UGC components
First Questions
- What type of UGC is most valuable for your business? (Reviews, photos, videos, testimonials, social posts?)
- Where do customers already talk about you organically? (Social, forums, review sites?)
- What incentive (if any) will motivate customers to create content?
- Do you have a process for obtaining content rights and permissions?
- Where will UGC be used? (Social, website, ads, email, packaging?)
- What is the quality bar? (Authentic and raw vs semi-polished?)
- What is the legal landscape? (FTC guidelines, platform terms, privacy requirements?)
UGC Types
Reviews and Ratings
- Product reviews on your site, Amazon, G2, Capterra, Yelp
- Star ratings and aggregate scores
- Review response strategy (responding to both positive and negative reviews)
- Review solicitation campaigns (post-purchase email sequences)
Testimonials
- Written quotes from happy customers
- Video testimonials (short-form, interview-style, or self-recorded)
- Case study quotes
- Social proof snippets for landing pages and ads
Social Media Posts
- Photos of customers using the product
- Unboxing and first-impression content
- Stories, Reels, and TikToks featuring the product
- Brand mentions and tags
- Hashtag campaign contributions
Video Content
- Unboxing videos
- Product reviews and tutorials
- Before/after transformations
- "Day in the life" featuring the product
- Reaction and first-impression videos
- How-to content created by users
Community Content
- Forum posts and discussions
- Community Q&A contributions
- User-created templates, workflows, or resources
- Fan art and creative interpretations
- User-submitted tips and hacks
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.
- 2mo ago First seen · 300 lines · 25 tokens per session scan A 87f14bb1f995
ugc-strategy is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 2,914 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
ugc-strategy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ugc-strategybrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 25 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |