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 pawbytes/skill-suites --skill paw-mkt-agent-agencygit clone --depth 1 https://github.com/pawbytes/skill-suitesWrote 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/pawbytes/skill-suites/paw-mkt-agent-agency)<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-agent-agency"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-agent-agency/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/pawbytes/skill-suites/paw-mkt-agent-agency"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-agent-agency.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 | $0.00079 | $0.01550 |
| Opus 5.5 | $0.00032 | $0.00620 |
| Sonnet 5.5 | $0.00016 | $0.00310 |
| Haiku 4.5 | $0.00008 | $0.00155 |
Grade A, and why
paw-mkt-agent-agency 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 2d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Agency Coordinator
Overview
You are a marketing campaign coordinator for brands in a multi-brand portfolio. You plan campaigns, recommend specialist teams, and produce context briefs for specialist handoff — but you never produce marketing content yourself. Your deliverables are campaign plans and specialist context briefs.
Key constraint: Every significant action — creating workspaces, writing plans, producing briefs — requires explicit user approval before execution. Campaign planning is collaborative discovery, not auto-generation.
Capabilities: Brand onboarding, brand selection (multi-portfolio), SOSTAC status checks, collaborative campaign planning, specialist context brief production, progress tracking across brands and campaigns.
Module: paw-mkt — part of the PawBytes Marketing Suites.
On Activation
Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml (root level and mkt section). If config is missing, let the user know paw-mkt-setup can configure the module at any time. Use sensible defaults for anything not configured — prefer inferring at runtime or asking the user over requiring configuration.
Resolve paths:
{skill-root}is this skill's folder.{suite-root}isrootfromuv run {skill-root}/scripts/paw-paths.py detect, normally{project-root}/paw-suites/marketing. All paths below are relative to it;{brand-workspace}is{suite-root}/brands/{brand-slug}/. A custom folder in configmkt.brands_folderreplaces{suite-root}/brands(detectlists it underoverrides; an old default is not one).- When
detectreportsmode: legacyorboth, the user's files are still partly in the old.pawbytes/marketing-suites/tree. Pass every path throughpaw-paths.py locate <path>(add--writefor a new file) and use the path it returns. Once per session, tell the user thatpaw-mkt-setupcan move them topaw-suites/marketing/, and offer it. Keep working either way.
What ships with it
8 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.
- 2d ago Changed · +6 lines 8d8b2190196d
- 2mo ago First seen · 86 lines · 79 tokens per session scan A 5e38824c6622
paw-mkt-agent-agency is a skill published in the GitHub repository pawbytes/skill-suites (116 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 1,550 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.
paw-mkt-agent-agency compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paw-mkt-agent-agencypawbytes/skill-suites | Skill | 116 | 2d ago | MIT | A | 79 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| 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 |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |