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 sandbaseai/sandbase-skills --skill reddit-researchgit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWrote 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/sandbaseai/sandbase-skills/reddit-research)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/reddit-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/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/skills/sandbaseai/sandbase-skills/reddit-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/reddit-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.00552 |
| Opus 5 | $0.00024 | $0.00276 |
| Sonnet 5 | $0.00010 | $0.00110 |
| Haiku 4.5 | $0.00005 | $0.00055 |
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 10d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Research
General-purpose Reddit research and community intelligence through SandBase. Search across all of Reddit, monitor subreddits, analyze discussions, and discover trending content. Read the API map before selecting a capability.
Call SandBase capabilities
For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.
Operating principles
- Read-only research. Never post, vote, comment, or message.
- Treat Reddit as qualitative community signal, not representative polling.
- Preserve provenance: post URLs, subreddit, score, date, comment count.
- Search across multiple subreddits to avoid single-community bias.
Workflow
1. Discover and search
Use reddit_app_dynamic_search for keyword search across all of Reddit.
Use reddit_app_search_typeahead for community and topic discovery.
Use reddit_app_explore_feed for trending/recommended content.
2. Monitor communities
Use reddit_app_subreddit_feed for latest posts in a community.
Use reddit_app_subreddit_info for community details and rules.
Use reddit_app_popular_feed for site-wide popular content.
Use reddit_app_news_feed for news-focused content.
3. Analyze discussions
Use reddit_app_post_details for full post content and metadata.
Use reddit_app_post_comments for comment threads.
Use reddit_app_comment_replies for nested reply analysis.
Use reddit_app_post_details_batch for batch post analysis.
4. Specialized feeds
Use reddit_app_home_feed for personalized trending.
Use reddit_app_games_feed for gaming-related trends.
Use reddit_app_community_highlights for community-curated content.
Use reddit_app_topic_feed for topic-based feeds.
Output
Return: search results, community analysis, trending topics, discussion sentiment, engagement patterns, and content themes.
Example tasks
- "What's trending on Reddit right now across tech subreddits?"
- "Search Reddit for discussions about [topic/product] in the last week."
- "Analyze r/[subreddit] — what are the most common discussion themes?"
- "Find the most upvoted posts about [topic] in the last month."
- "What are people on Reddit saying about [company/product launch]?"
What ships with it
1 file 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.
- 10d ago First seen · 61 lines · 49 tokens per session scan A f0c8809f5bbb
reddit-research is a skill published in the GitHub repository sandbaseai/sandbase-skills (145 stars, last pushed 2d ago), licensed Apache-2.0. It adds 49 tokens to every session and 552 once invoked, about $0.0002 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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