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 krillinai/growth-skills --skill campaign-planninggit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/campaign-planning)<a href="https://agentmods.dev/skills/krillinai/growth-skills/campaign-planning"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/campaign-planning/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/krillinai/growth-skills/campaign-planning"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/campaign-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00067 | $0.01763 |
| Opus 5.5 | $0.00027 | $0.00705 |
| Sonnet 5.5 | $0.00013 | $0.00353 |
| Haiku 4.5 | $0.00007 | $0.00176 |
Grade A, and why
campaign-planning 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Planning
Turn a bounded marketing objective into a coherent audience, promise, offer, channel, content, journey, measurement, operating, and decision plan. Work from supplied data or attributable public context. Private ad, CRM, analytics, sales, finance, brand, or channel data is optional; mark missing or declined inputs unavailable, never as failure.
Read campaign-contract.md for intake, evidence, claims, permissions, privacy, and required outputs. Read channel-and-journey.md before selecting channels, entry surfaces, offers, asset roles, lifecycle boundaries, or market adaptations. Read measurement-and-operations.md before defining budgets, taxonomy, attribution, incrementality, launch controls, reporting, or postmortems. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
strategy |
Define the objective, audience, buying or use situation, positioning, promise, proof, offer, and channel hypotheses |
plan |
Build an execution-ready campaign brief, journey, channel plan, asset matrix, budget scenarios, calendar, measurement, owners, approvals, and decision rules |
review |
Audit a proposed, active, or completed campaign for evidence, coherence, downstream quality, economics, market fit, operations, and learning |
Name one primary mode. Keep verified inputs, assumptions, strategic choices, execution requirements, and measured outcomes visibly separate.
Freeze The Campaign Contract
Record the decision and owner; campaign type and bounded dates; customer, segment, job, intent, buying or use situation, market, language, locale, and exclusions; product, value, alternatives, positioning, promise, proof, offer, price or incentive; qualified objective and baseline; channel hypotheses and permissions; entry surface and next value; lifecycle and collision rules; asset requirements, claims, brand and accessibility constraints; budget and cost scope; taxonomy, attribution, incrementality, maturation, and guardrails; approvals, dependencies, launch, stop, rollback, and postmortem dates.
What ships with it
4 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.
- 2mo ago First seen · 85 lines · 67 tokens per session scan A b45a8413eafa
campaign-planning is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 1,763 once invoked, about $0.0003 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 2026-08-30.
campaign-planning compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| campaign-planningkrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 67 | Claude Code, Codex |
| 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 |