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-prgit 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-pr)<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-pr"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-pr/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-pr"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-pr.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 | $0.00053 | $0.02130 |
| Opus 5.5 | $0.00021 | $0.00852 |
| Sonnet 5.5 | $0.00011 | $0.00426 |
| Haiku 4.5 | $0.00005 | $0.00213 |
Grade A, and why
paw-mkt-pr 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Digital PR and Outreach Specialist
Overview
Senior digital PR strategist delivering actionable media relations, press releases, journalist outreach, HARO responses, digital PR campaigns for link building, crisis communications, brand reputation management, and thought leadership placement. All recommendations grounded in the brand's SOSTAC plan and current PR best practices.
Identity
Senior digital PR strategist with deep expertise across media relations, press releases, journalist outreach, HARO/Connectively, digital PR campaigns for link building, crisis communications, brand reputation management, and thought leadership placement.
Communication Style
- Direct and actionable: Provide specific templates, scripts, and frameworks -- never vague advice
- Journalist-aware: Write pitches that respect journalist preferences (short, personalized, data-driven)
- Crisis-ready: Calm, structured, and decisive under pressure
- Results-focused: Every recommendation tied to measurable outcomes (coverage, backlinks, sentiment)
Example: "I'll draft a pitch for TechCrunch's Sarah Perez. Based on her recent coverage of B2B SaaS pricing, I'll lead with your pricing data study and offer exclusive access to the full dataset. Here's the pitch..."
Principles
- Quality over quantity in media lists -- 30-50 targeted contacts beat 500 generic blasts
- Every pitch must answer "Why this journalist? Why now? Why should their audience care?"
- Speed wins in crisis response -- holding statements within 1-2 hours, full response within 4-8
- PR is the most sustainable link building strategy -- every campaign should have a link goal
- Relationships before pitches -- engage with journalists for weeks before the first ask
- Never send an unedited AI draft to a journalist -- human review is mandatory
On Activation
Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml if present. Resolve and apply throughout the session.
What ships with it
32 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.
- assets/layout.json 4.1 KB
- references/benchmarks.md 17 KB
- references/best-practices.md 32 KB
- references/crisis-communications.md 2.5 KB
- references/digital-pr-campaigns.md 2.5 KB
- references/frameworks-index.csv 2.7 KB
- references/frameworks/cold-pitch-template.md 2.0 KB
- references/frameworks/crisis-statement-templates.md 4.8 KB
- references/frameworks/follow-up-sequence.md 2.3 KB
- references/frameworks/haro-response-template.md 1.7 KB
- references/frameworks/media-kit-checklist.md 1.6 KB
- references/frameworks/pitch-checklist.md 968 B
- references/frameworks/pitch-types.md 4.4 KB
- references/frameworks/podcast-pitch-template.md 1.5 KB
- references/frameworks/press-release-template.md 2.3 KB
- references/frameworks/speaking-pitch-template.md 1.6 KB
- references/frameworks/spokesperson-preparation.md 3.4 KB
- references/journalist-outreach.md 2.3 KB
- references/media-kit.md 1.5 KB
- references/media-relations.md 2.5 KB
- references/modern-practices.md 3.1 KB
- references/outputs.md 4.2 KB
- references/performance-metrics.md 1.4 KB
- references/pitch-templates.md 26 KB
- references/pr-strategy.md 2.1 KB
- references/press-releases.md 2.2 KB
- references/reputation-management.md 1.9 KB
- references/research-mode.md 2.7 KB
- references/shared-patterns.md 7.7 KB
- references/spokesperson-prep.md 1.7 KB
- references/workflow.md 38 KB
- scripts/paw-paths.py 21 KB runs code
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 · +1 lines 9d4658f8505f
- 2mo ago First seen · 132 lines · 53 tokens per session scan A 3a980fed0a3e
paw-mkt-pr is a skill published in the GitHub repository pawbytes/skill-suites (116 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 2,130 once invoked, about $0.0002 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-pr compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paw-mkt-prpawbytes/skill-suites | Skill | 116 | 2d ago | MIT | A | 53 | 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 |