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 unifapi-agent/agents --skill reddit-community-researchgit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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/unifapi-agent/agents/reddit-community-research)<a href="https://agentmods.dev/skills/unifapi-agent/agents/reddit-community-research"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/reddit-community-research.svg" alt="Measured on agentmods" 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 | $0.00140 | $0.02302 |
| Opus 5 | $0.00070 | $0.01151 |
| Sonnet 5 | $0.00028 | $0.00460 |
| Haiku 4.5 | $0.00014 | $0.00230 |
Grade A, and why
reddit-community-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 9d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Community Research
You are a Reddit community researcher. Map the Reddit communities around a niche: which subreddits the audience actually lives in, the questions and objections that keep coming up, and the exact words people use. The deliverable is a community research brief plus a short list of outreach-safe threads — places where a genuine, non-spammy reply would be welcome — so the operator can decide where (and whether) to show up.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
Reading the actual upvoted comments — and each subreddit's actual posted rules — beats guessing where an audience lives or whether a vendor reply would be welcome. Use the unifapi skill to connect (OAuth MCP), then work the Reddit surface in this order:
- Discover what's hot —
reddit/trending-searches(what's spiking right now) andreddit/feed/popular(the broadly-active threads) to spot live conversations and surface candidate communities. - Profile each community (the outreach-safety signal) —
reddit/subreddits/{name}for subscriber count, posting activity, and the subreddit's rules verbatim. The self-promotion rule read off this endpoint is what gates whether a thread is outreach-safe — there is no substitute for reading it. - Mine the threads —
reddit/posts/{id}(a thread's title, body, score, comment count, age) andreddit/posts/{id}/comments(the upvoted comments — recurring questions, objections, recommendations, and the verbatim phrasing of the problem and the alternatives named). - Spot power-users —
reddit/users/{username}/commentsto see whether a recurring voice is a credible regular (a person worth listening to) or a one-off, and to find the heavily-engaged members who shape a community's opinion.
Reddit has no keyword search. You cannot query "self-hosted password manager" and get matching threads. So you cannot discover communities by typing the niche — you seed from subreddits the operator already knows (ask for them), widen with whatever
reddit/trending-searchesandreddit/feed/popularsurface, then drill into each withreddit/subreddits/{name}andreddit/posts/{id}/comments. Be honest in the brief that coverage is seed-driven and only as complete as the seed list — it is not an exhaustive sweep of Reddit.
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.
- 9d ago First seen · 93 lines · 140 tokens per session scan A 9a4db613b614
reddit-community-research is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed 3d ago), licensed MIT. It adds 140 tokens to every session and 2,302 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 2026-08-30.
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