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 agentmods add skills/unifapi-agent/agents/redditnpx skills add unifapi-agent/agents --skill redditgit clone --depth 1 https://github.com/unifapi-agent/agentsWhat 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 | $0.00116 | $0.01579 |
| Opus 5 | $0.00058 | $0.00790 |
| Sonnet 5 | $0.00023 | $0.00316 |
| Haiku 4.5 | $0.00012 | $0.00158 |
Grade A, and why
reddit 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 2d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The deterministic read path for public Reddit data through UnifAPI. This is a
Data Skill: it does not run a marketing job on its own — it names the
concrete reddit/... operations, response shapes, and the real coverage limits
so any community-first workflow (social listening, voice-of-customer) reads from
one known, honest recipe instead of rediscovering the surface each time.
Read-only — eyes, not hands. It researches public Reddit data and returns cited records; it never posts, comments, or votes, and UnifAPI never holds Reddit credentials.
Use the unifapi skill for live evidence
Connect once through the shared unifapi skill (OAuth MCP), then call the
operations below. Reddit's public surface has no keyword search, so discovery
is seed-driven — say so in the output. Keep any billing metadata so the output
can state record cost.
Response contract
Single-entity endpoints return the object in data:
{
"request_id": "unif_...",
"data": {},
"billing": { "records_charged": 1, "balance_remaining": 99 }
}
List endpoints return an array in data plus pagination:
{
"request_id": "unif_...",
"data": [],
"pagination": { "has_more": false, "next_cursor": null },
"billing": { "records_charged": 1 }
}
When pagination.has_more is true, pass pagination.next_cursor as the next
request's cursor. Always preserve billing when reporting cost.
Core operations
| Need | Operation |
|---|---|
| Subreddit profile + rules | reddit/subreddits/{name} |
| Discover threads | reddit/feed/popular · reddit/feed/news · reddit/feed/home |
| Trending searches | reddit/trending-searches |
| Post by id | reddit/posts/{id} |
| Comment tree on a thread | reddit/posts/{id}/comments |
| User profile + karma | reddit/users/{username} |
| User posts / comments | reddit/users/{username}/posts · .../comments |
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.
- 2d ago First seen · 136 lines · 116 tokens per session scan A 80d06b669130
reddit is a skill published in the GitHub repository unifapi-agent/agents (557 stars, last pushed 2mo ago), licensed MIT. It adds 116 tokens to every session and 1,579 once invoked, about $0.0006 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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