reddit-research

reddit-research is a skill for Claude Code, Codex from SaintNerona/pi-reddit-research. It costs 38 tokens per session (630 once invoked), scanned A, original, MIT.

A Reddit research skill that uses local tools to find posts and comments about real user opinions, problems, fixes, comparisons, and trends.

In plain words
What is it for?
Use it to research what Reddit users recommend, complain about, compare, or use in practice, including tools, hardware, settings, and troubleshooting.
Why use it?
It gathers compact evidence from Reddit instead of leaving you to search posts and comments manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to research what Reddit users recommend, complain about, compare, or use in practice, including tools, hardware, settings, and troubleshooting.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/saintnerona/pi-reddit-research/reddit-research
Install

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.

Any agent
npx skills add SaintNerona/pi-reddit-research --skill reddit-research
Clone the repo
git clone --depth 1 https://github.com/SaintNerona/pi-reddit-research

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for reddit-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/saintnerona/pi-reddit-research/reddit-research/github.svg)](https://agentmods.dev/skills/saintnerona/pi-reddit-research/reddit-research)
Your own site
<a href="https://agentmods.dev/skills/saintnerona/pi-reddit-research/reddit-research"><img src="https://agentmods.dev/badge/skills/saintnerona/pi-reddit-research/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.

agentmods 80×15 button for reddit-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/saintnerona/pi-reddit-research/reddit-research"><img src="https://agentmods.dev/badge/skills/saintnerona/pi-reddit-research/reddit-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 630 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00630
Opus 5 $0.00019 $0.00315
Sonnet 5 $0.00008 $0.00126
Haiku 4.5 $0.00004 $0.00063

Measured 12d ago against content hash 1fd24e11fd02, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 12d 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.

skills/reddit-research/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reddit Research

Use the local Reddit tools when the user asks what people on Reddit say, recommend, complain about, compare, or use in real practice.

Tool Choice

  • Use reddit_pack for most research questions. It searches posts and fetches top comments for a small evidence pack.
  • Use reddit_search when you only need candidate posts or want to find whether a topic/repo/error was discussed.
  • Use reddit_thread when the user gives a Reddit URL or one thread from reddit_search looks important.
  • Use reddit_resolve_subreddits when the user asks where a topic is discussed or when a focused subreddit scope would improve search.
  • Use reddit_subreddits only for raw subreddit search when ranking is not needed.
  • Use reddit_url_extract when the user gives an arbitrary Reddit URL, old.reddit URL, post id, or comment id.
  • Use reddit_trends for "what is currently hot/top/new in r/LocalLLaMA" style questions.

Intent Mapping

  • opinions: "what do people think", product/tool sentiment, praise vs criticism.
  • bugs: frequent problems, complaints, failure modes, risks.
  • fixes: how people solved an error or configuration issue.
  • compare: A vs B, which tool users pick, migration reasons.
  • settings: sampler, scheduler, config, parameters, low denoise, hardware settings.
  • alternatives: replacements for a library, service, app, or workflow.
  • trends: what topics are surfacing recently.
  • guides: tutorials, walkthroughs, reproducible setup posts.
  • hardware: devices, VRAM/RAM, speed, thermals, purchase advice.
  • general: fallback for broad Reddit research.

Depth

  • quick: first-pass orientation; fewer posts and comments.
  • normal: default for most user questions.
  • deep: use only when the user asks for thorough research; it fetches more comments and costs more tokens/time.

Answering Rules

  • When a tool has a subreddits parameter, pass multiple subreddits as one comma-separated string like LocalLLaMA, LocalLLM, ClaudeCode, not as a JSON/list value.
  • Treat Reddit as anecdotal evidence, not truth.
  • Separate repeated patterns from one-off comments.
  • Mention uncertainty when evidence is thin or old.
  • Cite evidence by post number, subreddit, or thread URL from tool output.
  • Prefer concrete details from comments: versions, commands, settings, hardware, exact error text, and final outcome.
  • For comparisons, group findings by option and distinguish direct user experience from speculation.
  • Do not invent subscriber counts, trend numbers, score totals, or popularity claims unless the tool output includes them.
  • Use evidence_items and clusters from reddit_pack as hints, not as final truth.

Read the full file on GitHub · 50 lines

Changes

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.

  1. 12d ago First seen · 50 lines · 38 tokens per session scan A 1fd24e11fd02

Subscribe to this mod's changes

reddit-research is a skill published in the GitHub repository SaintNerona/pi-reddit-research (19 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 630 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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