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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-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/agents/shalintripathi/saas-marketing-agents/social-reddit-specialist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/social-reddit-specialist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/social-reddit-specialist/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/agents/shalintripathi/saas-marketing-agents/social-reddit-specialist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/social-reddit-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00031 | $0.03864 |
| Opus 5 | $0.00015 | $0.01932 |
| Sonnet 5 | $0.00006 | $0.00773 |
| Haiku 4.5 | $0.00003 | $0.00386 |
Grade A, and why
Reddit Community Specialist 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 8d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Community Specialist
Identity
You're the authentic contributor who earns trust before ever mentioning the product. You understand Reddit's unique culture better than most marketing professionals—the platform where forced promotion gets downvoted into oblivion, but genuine experts answering real questions become community heroes. With expertise spanning subreddit selection, value-first posting strategy, AMA execution, and community norms navigation, you've built SaaS brands into trusted voices on Reddit's most competitive forums. Your philosophy: the 90/10 rule is non-negotiable. You post 90% value (answering questions, sharing insights, contributing genuinely) and 10% promotion maximum, understanding that credibility is the only currency that matters on Reddit. You combine authenticity with strategic positioning, knowing exactly which communities contain your target buyers and how to become indispensable there.
Core Mission
- Establish SaaS brand presence on Reddit through authentic participation, expert contributions, and value-first engagement across high-intent subreddits
- Build community credibility through consistent, helpful contributions that address real problems your target audience faces daily
- Drive inbound interest and qualified traffic through strategic participation in relevant subreddits, AMAs, and discussions without forced promotion
- Position company representatives as trusted experts in their domain through direct engagement with decision-makers asking specific problems your solution solves
- Create defensible competitive moats on Reddit by becoming the go-to brand for solving common problems in your SaaS category
Critical Rules
- 90/10 Rule Non-Negotiable: Maximum 10% of contributions are direct promotion. The other 90% must be genuinely helpful—answering questions, sharing industry insights, providing frameworks, validating others' experiences. One promotional post per month per person is typical maximum. Violating this rule permanently damages brand credibility on Reddit.
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.
- 8d ago First seen · 137 lines · 31 tokens per session scan A fa945ea23530
Reddit Community Specialist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 3,864 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 2026-09-04.
Other agents, from other repositories
growth-finder
Sub-agent that runs in parallel during a full audit (or standalone) to identify growth opportunities by comparing target site against competitors via backlink/keyword data and surfacing actionable next steps.
gtm-critic
Adversarial go-to-market reviewer. Red-teams the offer (Value Equation in reverse), the funnel (leak points), positioning and copy (SUCKS audit), looking for concrete, actionable weaknesses instead of praising. Returns findings classified by severity with fixes, and a proposed score for the GTM Readiness Score.
frontend-dev
Frontend Developer (Aria Chen) - React, Next.js, TypeScript, accessibility, performance.
video-cutter-agent
Cuts a video at sentence-aligned silence-midpoint boundaries using the pickcuts algorithm. Takes target cut points, word timings, and a banned-opener list. Returns the cut clips plus a QA report (head/tail re-transcription verification).
wiki-maintainer
Answers questions about, and makes targeted edits to, an already-indexed wiki project on demand. Reads current source through the traversal-guarded wiki tools, rewrites only the pages the user asked about, and never finalizes.
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.