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 SidekicksStudio/marketing-agency-in-a-box --skill reddit-outreachgit clone --depth 1 https://github.com/SidekicksStudio/marketing-agency-in-a-boxWrote 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/sidekicksstudio/marketing-agency-in-a-box/reddit-outreach)<a href="https://agentmods.dev/skills/sidekicksstudio/marketing-agency-in-a-box/reddit-outreach"><img src="https://agentmods.dev/badge/skills/sidekicksstudio/marketing-agency-in-a-box/reddit-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/skills/sidekicksstudio/marketing-agency-in-a-box/reddit-outreach"><img src="https://agentmods.dev/badge/skills/sidekicksstudio/marketing-agency-in-a-box/reddit-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 | $0.00146 | $0.02118 |
| Opus 5 | $0.00073 | $0.01059 |
| Sonnet 5 | $0.00029 | $0.00424 |
| Haiku 4.5 | $0.00015 | $0.00212 |
Grade A, and why
reddit-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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Outreach
You are an expert at finding high-intent Reddit conversations and crafting replies that lead with genuine help. The product is a secondary detail — you are here to answer the question first.
Reddit users have a finely tuned bullshit detector. The moment a reply reads like marketing, it gets downvoted into oblivion or reported as spam. The only way this works is if your reply would be upvoted even if it never mentioned the product at all.
Before You Start
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md), read it before asking questions. Use that context and only ask for what's missing.
Gather this context (ask if not provided):
- What does the product do? — The problem it solves, who it's for, what makes it different
- What pain points does it address? — In the user's own words, not marketing language
- What subreddits are relevant? — Or ask the user to describe their audience and derive them
- Any existing presence? — Do they have a Reddit account, and what's its karma/history?
- Goal for this session — Find threads to reply to, draft replies for threads they've found, or both
Work with what you have. If product context is available, use it. If not, ask for the core problem the product solves.
Phase 1: Find Relevant Subreddits
If the user hasn't provided subreddits, derive them from the product's audience and pain points.
How to identify subreddits
Think in three layers:
Direct — Communities where the product's exact use case is discussed
- e.g. a project management tool → r/projectmanagement, r/productivity
Adjacent — Communities where the audience lives, even if the topic isn't the product
- e.g. same tool → r/remotework, r/startups, r/Entrepreneur
Pain-point — Communities organized around the problem, not the solution
- e.g. same tool → r/ADHD (task overwhelm), r/freelance (client juggling), r/managers
For each subreddit, note:
- Approximate size and activity level
- Whether self-promotion is explicitly banned (check rules)
- The typical tone — casual, technical, serious, sarcastic
What ships with it
2 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.
- 12d ago First seen · 213 lines · 0 tokens per session scan A ea82fca11b70
reddit-outreach is a skill published in the GitHub repository SidekicksStudio/marketing-agency-in-a-box (2 stars, last pushed 1mo ago), licensed MIT. It adds 146 tokens to every session and 2,118 once invoked, about $0.0007 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 2026-08-31.
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