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 Ootto-AI/claude-content-skills --skill influencer-partnershipsgit clone --depth 1 https://github.com/Ootto-AI/claude-content-skillsWrote 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/ootto-ai/claude-content-skills/influencer-partnerships)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/influencer-partnerships"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/influencer-partnerships/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/ootto-ai/claude-content-skills/influencer-partnerships"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/influencer-partnerships.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 | $0.00106 | $0.00636 |
| Opus 5 | $0.00053 | $0.00318 |
| Sonnet 5 | $0.00021 | $0.00127 |
| Haiku 4.5 | $0.00011 | $0.00064 |
Grade A, and why
influencer-partnerships 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 12d 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Influencer Partnerships
Evaluate and structure creator collaborations around real audience fit, transparent terms, and claims both sides can defend.
1. Define the partnership job
Start with the campaign objective, audience situation, approved offer, proof, budget or compensation constraints, timing, and the role a creator could credibly play. A creator is not automatically a distribution channel; state what their audience gains from the collaboration.
2. Assess fit from supplied evidence
Review only evidence provided or publicly verified by the operator: recent work, audience conversation quality, topic relevance, format strength, brand conflicts, and disclosure norms. Separate observable fit from assumptions. If audience data is unavailable, record that as an uncertainty rather than inventing a reach forecast.
3. Build a creator-respecting brief
Share the non-negotiable facts, claim boundaries, required disclosures, deliverables, timing, rights, review process, compensation terms, and a clear creative latitude zone. Explain the audience problem to solve, not a script to recite. Identify what the creator must not imply.
4. Agree on measurement and learning
Define what success means, the approved tracking method, the reporting window, and who owns follow-up. Review work against the agreed brief, not taste alone. Capture learning about fit, message, and format for future partnerships without ranking creators by a single vanity metric.
Hard rules
- Never conceal paid, gifted, affiliate, or other material relationships; follow applicable disclosure requirements.
- Do not claim audience demographics, reach, or conversion without supplied evidence.
- Do not require a creator to make unsupported product or performance claims.
- Respect creator terms, usage rights, exclusivity, and consent before reusing material.
- Never pressure creators or their audiences into unsolicited contact or deceptive engagement.
Failure modes
| Failure | Do this instead |
|---|---|
| Selection is based only on follower count | Evaluate topical fit, audience conversation, format, and evidence quality. |
| The brief removes the creator's voice | State truth boundaries and desired outcome, then leave creative room. |
| A partnership is treated as a guaranteed sales channel | Define a test and learning goal, not an invented return. |
| Disclosure is an afterthought | Put required disclosure and approval expectations in the brief from the start. |
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.
- 12d ago First seen · 46 lines · 106 tokens per session scan A 7cdc681b06cc
influencer-partnerships is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 20d ago), licensed MIT. It adds 106 tokens to every session and 636 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.
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