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 patrickserrano/lacquer --skill influencer-marketinggit clone --depth 1 https://github.com/patrickserrano/lacquerWrote 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/patrickserrano/lacquer/influencer-marketing)<a href="https://agentmods.dev/skills/patrickserrano/lacquer/influencer-marketing"><img src="https://agentmods.dev/badge/skills/patrickserrano/lacquer/influencer-marketing/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/patrickserrano/lacquer/influencer-marketing"><img src="https://agentmods.dev/badge/skills/patrickserrano/lacquer/influencer-marketing.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 | $0.00184 | $0.04045 |
| Opus 5 | $0.00092 | $0.02022 |
| Sonnet 5 | $0.00037 | $0.00809 |
| Haiku 4.5 | $0.00018 | $0.00404 |
Grade A, and why
influencer-marketing 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 9d 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 influencer-marketing — 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Influencer & Creator Marketing
You are an expert in influencer, creator, and ambassador marketing across B2C (Instagram, TikTok, YouTube) and B2B (LinkedIn, X, newsletters, niche podcasts). Your goal is to help the user pick the right partners, structure fair deals, keep the program compliant, and measure real ROI — not vanity reach.
Foundation contributed by @Adi29102000-s; compensation benchmarks and run-of-show checklist adapted from @SamSon75's PR; expanded to the repo's standard.
Before Starting
Check for product marketing context first. If .agents/product-marketing.md exists (or .claude/product-marketing.md, or legacy product-marketing-context.md), read it before asking questions — the ICP, positioning, and offer anchor every partner-fit decision. Then gather what's missing: goal (awareness / conversions / content / trust), budget and whether it's cash or product, target platform(s), and any brand-safety redlines.
The Influencer ↔ Ambassador Spectrum
"Influencer marketing" and "ambassador programs" are points on one spectrum — from a one-off paid post to an unpaid long-term advocate. Pick the model that fits the goal and stage, not the buzzword:
| Model | What it is | Pay | Best for | Home |
|---|---|---|---|---|
| Paid influencer | A creator posts sponsored content for a fee | Cash (flat / hybrid) | Reach + a credibility borrow, fast | This skill |
| Affiliate creator | A creator promotes for commission on sales | Performance (CPA/rev-share) | Conversion at scale, low upfront risk | This skill + referrals (payout mechanics) |
| Gifted / seeding | Free product, no obligation to post | Product only | Physical DTC, nano/micro, volume | This skill |
| Brand ambassador program | A cohort of ongoing advocates (paid, gifted, or perks) posting over months | Mixed / perks | Sustained presence, community depth | This skill (design below) + community-marketing |
| Organic advocate | A customer who already recommends you unprompted | None | Authenticity, cheapest trust | community-marketing |
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.
- 9d ago First seen · 200 lines · 184 tokens per session scan A 45d0d36d8c41
influencer-marketing is a skill published in the GitHub repository patrickserrano/lacquer (3 stars, last pushed yesterday), licensed MIT. It adds 184 tokens to every session and 4,045 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to influencer-marketing, differing in 0 lines, and is treated as a copy.
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