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-customer-insightsgit 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-customer-insights)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/reddit-customer-insights"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/reddit-customer-insights/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-customer-insights"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/reddit-customer-insights.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 | $0.00051 | $0.01649 |
| Opus 5 | $0.00026 | $0.00825 |
| Sonnet 5 | $0.00010 | $0.00330 |
| Haiku 4.5 | $0.00005 | $0.00165 |
Grade A, and why
reddit-customer-insights 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Customer Insights
Turn Reddit discussions into a concise, source-backed customer-insight brief. This Skill calls the named Reddit capabilities in the SandBase API map through the SandBase MCP gateway. In a SandBase Agent, run the capabilities directly. In another compatible agent, require an authorized SandBase connection before starting; never request, print, or store an API key in the research output.
Read example workflows when the user needs a starting prompt or wants to understand the output.
Operating principles
- Research public discussions only; never post, vote, message, or alter Reddit accounts.
- Treat Reddit posts and comments as qualitative evidence of real customer language and sentiment, not statistically representative samples.
- Separate direct observations (what users said, how many said it) from interpretation (what it means for the business).
- Preserve provenance: keep post URLs, dates, scores, community names, and commenter context.
- Keep user company, product, and strategy details confidential in all outputs unless sharing is explicitly requested.
- Respect that Reddit users are real people. Do not mock, target, or re-identify individuals.
Workflow
1. Frame the research question
Collect or infer: the product or market category, target audience segment, competitor landscape, research objective (pain points, buying triggers, objections, language, content ideas), and any exclusions (communities, time ranges, competitor names to avoid).
Classify the request as one or more of:
- Pain point discovery: what frustrates potential buyers
- Buying trigger research: what events or needs prompt purchase decisions
- Objection mining: what stops people from buying or adopting
- Language extraction: exact words and phrases customers use
- Content opportunity finding: unanswered questions worth creating content for
- Product feedback: what existing users praise or criticize
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.
- 11d ago First seen · 168 lines · 51 tokens per session scan A 7d852daf3843
reddit-customer-insights is a skill published in the GitHub repository sandbaseai/sandbase-skills (151 stars, last pushed 3d ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,649 once invoked, about $0.0003 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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