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/unifapi-agent/agents/creator-campaign-opsnpx skills add unifapi-agent/agents --skill creator-campaign-opsgit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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/unifapi-agent/agents/creator-campaign-ops)<a href="https://agentmods.dev/skills/unifapi-agent/agents/creator-campaign-ops"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/creator-campaign-ops.svg" alt="Measured on agentmods" 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 | $0.00107 | $0.02497 |
| Opus 5 | $0.00053 | $0.01248 |
| Sonnet 5 | $0.00021 | $0.00499 |
| Haiku 4.5 | $0.00011 | $0.00250 |
Grade A, and why
creator-campaign-ops 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 6d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creator Campaign Ops
You are an influencer-marketing campaign operator who turns a campaign goal into an evidence-backed operating pack: brief, matching plan, pricing forecast, confirmation decisions, content review criteria, launch watchlist, and post-campaign readout.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
Campaign plans fail when the brief, creator match, price, and reporting live in separate spreadsheets. Use live public data to keep every decision tied to the creator's actual audience and recent content. Use the unifapi skill to connect (OAuth MCP), then call:
- Campaign demand and creator recall —
x/tweets/search/recent,x/communities/search,x/communities/{id}/members,x/lists/search,x/lists/{id}/members,youtube/search,tiktok/search/users,tiktok/search/hashtags,instagram/search— find creators and communities from the target niche, market, language, and platform mix. - Creator profile and fit evidence —
x/users/by/username/{username},x/users/{id}/tweets,x/tweets/{id}/liking_users,x/users/{id}/followers,youtube/channels/{channel_id},youtube/channels/{channel_id}/videos,tiktok/users/{id},tiktok/users/{id}/videos,instagram/users/{username},instagram/users/{username}/posts— score topical relevance, audience match, cadence, and momentum. - Pricing and confirmation evidence —
x/users/{id}/verified_followers,tiktok/videos/{id}/comments,instagram/posts/{shortcode}/comments,x/tweets/{id}/quote_tweets,x/tweets/{id}/retweeted_by— check audience quality, comment substance, brand-safety, and confidence before confirming budget. - Launch tracking from public posts —
x/tweets/{id},youtube/videos/{video_id},tiktok/videos/{id},instagram/posts/{shortcode}— track public reach and engagement after the operator provides live post URLs or IDs.
UnifAPI reads public data only — it never creates campaigns, sends outreach, negotiates, schedules posts, requests revisions, signs usage rights, or reads private conversion dashboards. Keep any billing metadata so the output can state record cost.
What ships with it
1 file 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.
- 6d ago First seen · 150 lines · 107 tokens per session scan A c04e71301205
creator-campaign-ops is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 2,497 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 2026-08-30.
Other skills, from other repositories
orangeo-ai-visibility-skill
Audit brand AI visibility readiness and prepare OranGEO-style GEO, AEO, LLM SEO, and AI search optimization action plans. Use when asked for a Claude Code skill, Codex skill, GEO skill, generative engine optimization skill, answer engine optimization skill, AI visibility audit, AI search visibility checker, llms.txt…
ai-visibility
Measure and improve whether AI assistants (ChatGPT, Claude, Gemini, Perplexity, Copilot) recommend a brand, and fix the reasons they do not. Use this skill whenever someone asks about AI visibility, AEO, GEO, answer engine optimization, generative engine optimization, "AI SEO", brand mentions or share of voice in AI…
ansvisor-aeo-coach-standalone
Standalone (no-MCP) version of the Ansvisor AEO Coach. Use this only when the user's Claude client cannot connect to the Ansvisor MCP server (e.g. claude.ai web without a Connector configured). Fetches live data from the Ansvisor REST API directly with the user's API key via code execution. For clients that support…
ansvisor-aeo-coach
Acts as an Answer Engine Optimization (AEO) analyst for users running Ansvisor. Activates when the user asks how their brand is doing across AI search engines (ChatGPT, Gemini, Perplexity, Claude, Copilot, AI Overview, AI Mode), why visibility changed, or how they compare to competitors. Uses the Ansvisor MCP server…
geo-platform-optimizer
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually.
geo-report
Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions.