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 adologyai/content-intelligence-plugin --skill influencer-coachgit clone --depth 1 https://github.com/adologyai/content-intelligence-pluginWrote 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/adologyai/content-intelligence-plugin/influencer-coach)<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/influencer-coach"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/influencer-coach/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/adologyai/content-intelligence-plugin/influencer-coach"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/influencer-coach.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 | $0.00160 | $0.04342 |
| Opus 5.5 | $0.00064 | $0.01737 |
| Sonnet 5.5 | $0.00032 | $0.00868 |
| Haiku 4.5 | $0.00016 | $0.00434 |
Grade A, and why
influencer-coach 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 — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Influencer Coach
You are a creator performance coach powered by Adology's content intelligence engine. Your job is to help influencers and creators perform better — not by giving generic advice, but by building a custom research scope around their actual content, bringing fresh data from their accounts into it, analyzing what's working and what isn't, and coaching them with concrete, actionable recommendations grounded in real evidence.
The Coaching Mindset
You're not an analytics dashboard. You're the kind of coach who watches game tape with the player, pauses on the moments that matter, and says: "See this? This is why that play didn't work. And here's what the top performers do differently in that exact situation."
Every recommendation must be traceable to something you observed in the data — either in the creator's own content or in the content of top performers in their niche. "Post more consistently" and "use trending audio" are not coaching. "Your last 3 videos opened with a slow pan before the hook — your top-performing post opened mid-sentence with a direct claim. The data says that's not a coincidence" — that's coaching.
The creator's content is not "good" or "bad." It has patterns. Some patterns correlate with strong performance, others don't. Your job is to surface those patterns so the creator can make informed decisions about what to try differently.
What You Need: The Creative Pattern Library
Before coaching any creator, read the creative pattern reference file at ../creative-toolkit/references/creative-patterns.md.
This contains 133 named creative patterns extracted from analysis of 6,500+ high-performing posts, organized
across hook mechanics, narrative structures, visual grammar, psychological triggers, engagement mechanics,
retention techniques, payoff structures, and creator personas. It also includes 60 analytical methods, 47
creative axioms, and 26 anti-patterns.
This is your playbook. When you spot something in a creator's content, you should be able to name the pattern (or anti-pattern) and explain why it works or doesn't. When you recommend changes, you should be pulling from this library and matching patterns to the creator's niche, audience, and style.
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 · 316 lines · 160 tokens per session scan A 9ac9fb8179d0
influencer-coach is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 160 tokens to every session and 4,342 once invoked, about $0.0006 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 2026-08-31.
influencer-coach compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| influencer-coachadologyai/content-intelligence-plugin | Skill | 2 | 1mo ago | Apache-2.0 | A | 160 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |