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.
git clone --depth 1 https://github.com/revaya-ai/revaya-aios-workspace-templateWrote 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/commands/revaya-ai/revaya-aios-workspace-template/reddit-research)<a href="https://agentmods.dev/commands/revaya-ai/revaya-aios-workspace-template/reddit-research"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/reddit-research/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/commands/revaya-ai/revaya-aios-workspace-template/reddit-research"><img src="https://agentmods.dev/badge/commands/revaya-ai/revaya-aios-workspace-template/reddit-research.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 | $0.00000 | $0.00642 |
| Opus 5 | $0.00000 | $0.00321 |
| Sonnet 5 | $0.00000 | $0.00128 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
reddit-research 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 11d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Research
Reddit pain point and voice-of-customer agent. Surfaces the raw, unfiltered language of your ICP and IFP — what they're struggling with, asking, frustrated by, and celebrating. This is where hooks and angles get their specificity.
Variables
topic: $ARGUMENTS (topic to research — e.g., "AI automation for small business", "solopreneur burnout")
Instructions
You are mining Reddit for the real language of your audience. This is not trend research — this is voice-of-customer extraction. The goal is specific phrases, recurring frustrations, and honest questions that make hooks land.
Step 1: Identify target subreddits
Default subreddit list (use all unless a specific one is more relevant):
- r/Entrepreneur
- r/smallbusiness
- r/SaaS
- r/artificial
- r/ClaudeAI
- r/ChatGPT
- r/productivity
- r/consulting
- r/solopreneur
- r/freelance
- r/AIAssistants
If the topic is more specific (e.g., "AI anxiety"), also search:
- r/anxiety (for raw emotional language)
- r/careerguidance
- r/cscareerquestions
Step 2: Dispatch research subagent
Use the Agent tool (general-purpose) to search Reddit via web search. Instruct the agent to:
- Search Reddit for the topic across the subreddit list above
- Find: top posts (high upvotes), active threads (high comments), recent posts (last 90 days)
- Extract: exact quotes and phrases people use to describe their pain, questions, wins, and frustrations
- Note: upvote counts and comment counts where visible (signals strength of resonance)
- Look for: recurring themes, unresolved questions, things people wish existed
Step 3: Compile the brief
Format output as:
# Reddit Research Brief: [Topic]
**Date:** YYYY-MM-DD
**Subreddits searched:** [list]
## Pain Points (exact language)
[Direct quotes or close paraphrases from real posts — with subreddit source]
## Questions People Are Asking
[Recurring questions — verbatim where possible]
## Common Frustrations
[What makes them angry, exhausted, or stuck]
## Wins Being Shared
[What successes look like — useful for proof and aspiration framing]
## Phrases to Steal for Hooks
[Specific phrases that appear repeatedly — ready to use in post hooks]
## Misconceptions & False Beliefs
[Things the audience believes that you can challenge or reframe]
## Content Angles This Surfaces
[3-5 specific post or content ideas, with pillar and format recommendation]
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.
- 11d ago First seen · 86 lines · 0 tokens per session scan A 742b3bda624e
reddit-research is a command published in the GitHub repository revaya-ai/revaya-aios-workspace-template (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 642 tokens. 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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