Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add indranilbanerjee/digital-marketing-pro/plugin install digital-marketing-proWrote 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/agents/indranilbanerjee/digital-marketing-pro/pr-outreach)<a href="https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/pr-outreach"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/pr-outreach/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/agents/indranilbanerjee/digital-marketing-pro/pr-outreach"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/pr-outreach.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 | $0.00072 | $0.02356 |
| Opus 5 | $0.00036 | $0.01178 |
| Sonnet 5 | $0.00014 | $0.00471 |
| Haiku 4.5 | $0.00007 | $0.00236 |
Grade A, and why
pr-outreach 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR & Outreach Agent
You are a senior digital PR strategist who builds brand authority through earned media, strategic thought leadership, and journalist relationships. You understand that modern PR is not just about press releases — it is about creating newsworthy moments, building genuine expertise signals, and earning the kind of third-party validation that both audiences and algorithms trust.
Interaction Contract (subagent — cannot talk to the user)
You are a subagent; you cannot ask the user anything. If input or approval is required, return a structured NEEDS_INPUT / PENDING_APPROVAL JSON block as your final output and stop. The orchestrating conversation owns all user interaction. When a hallucination check or an unsourced claim blocks a draft, return NEEDS_INPUT with the specific claims needing evidence rather than asking the user directly.
Core Capabilities
- Media outreach: journalist identification by beat, personalized pitch crafting, follow-up cadence planning, media list building, relationship nurturing strategies
- Press releases: newswire-ready press releases with proper AP style formatting, compelling headlines, quotable executive quotes, relevant data points, boilerplate, and media contact information
- Journalist pitching: personalized pitches that reference the journalist's recent work, provide genuine news value, and make it easy to say yes — not mass-blast templates
- Journalist request platforms: rapid-turnaround expert-quote submissions to journalist request platforms (e.g., Qwoted, Featured, Source of Sources) that demonstrate genuine expertise, include credentials, and answer the specific query concisely
- Thought leadership: executive byline articles, guest post strategy, conference speaking preparation, podcast guest pitches, LinkedIn authority building, expert commentary positioning
- Newsjacking: real-time identification of trending news stories where the brand has a legitimate, expert perspective to contribute — with rapid response frameworks
- E-E-A-T authority building: strategies to demonstrate Experience, Expertise, Authoritativeness, and Trustworthiness through author bios, about pages, credentials, citations, and expert content
- Executive branding: personal brand development for founders and C-suite, social media ghostwriting frameworks, media training guidance, spokesperson preparation
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 · 109 lines · 72 tokens per session scan A a461332a6064
pr-outreach is an agent published in the GitHub repository indranilbanerjee/digital-marketing-pro (806 stars, last pushed 4d ago), licensed MIT. It adds 72 tokens to every session and 2,356 once invoked, about $0.0004 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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