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 brainbytes-dev/everything-claude-marketing --skill media-pitchinggit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/media-pitching)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/media-pitching"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/media-pitching/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/brainbytes-dev/everything-claude-marketing/media-pitching"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/media-pitching.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 | $0.00024 | $0.02919 |
| Opus 5.5 | $0.00010 | $0.01168 |
| Sonnet 5.5 | $0.00005 | $0.00584 |
| Haiku 4.5 | $0.00002 | $0.00292 |
Grade A, and why
media-pitching 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 — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Pitching
When to Activate
- Pitching a story or announcement to journalists for press coverage
- Building media relationships for ongoing PR strategy
- Securing coverage for a product launch, funding round, or company milestone
- Offering expert commentary on industry trends or news
- Responding to journalist queries (HARO, Qwoted, Source of Sources)
- Planning a PR outreach strategy for a campaign or quarter
First Questions
- What is the story you're pitching? (Not "we launched X" — what's the story?)
- Why would a journalist's audience care about this?
- Which publications and journalists cover this topic?
- What is the news hook or timely angle?
- Do you have exclusive data, access, or a unique perspective to offer?
- What is the desired coverage outcome? (Feature story, mention, quote, review)
- What assets can you provide? (Data, visuals, expert access, customer stories)
Journalist Research
Finding the Right Journalists
- Beat matching: Find journalists who cover your specific topic, not just the publication.
- Recent coverage: Read their last 10-20 articles. Understand what they care about.
- Social media: Follow them on X/Twitter. See what they share and comment on.
- Tools: Muck Rack, Cision, Just Reach Out, or manual research via publication websites.
Building a Target Media List
For each pitch, build a tiered list:
Tier 1 (3-5 journalists): Top-choice outlets. Most relevant beat. Highest potential impact. These get the most personalized pitches.
Tier 2 (10-15 journalists): Relevant beat coverage. Good publications. Personalized but templated pitches.
Tier 3 (20-30 journalists): Broader coverage. Industry publications, blogs, newsletters. More templated pitches.
Media List Essentials
For each journalist, track:
- Name, publication, beat/focus area
- Email address (use Hunter.io, Muck Rack, or publication contact pages)
- Recent articles relevant to your pitch
- Social media handles
- Notes on preferences (email-only? DM-friendly? Hates phone calls?)
- History of your interactions with them
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 · 316 lines · 24 tokens per session scan A 43032fcbdfd2
media-pitching is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 24 tokens to every session and 2,919 once invoked, about $0.0001 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 2026-09-03.
media-pitching compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| media-pitchingbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 24 | Claude Code |
| 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 |