# Reddit Engage

> Draft and approve Reddit comments from scouted opportunities with a hard human-in-the-loop gate. Reads an opportunity queue (a Clearbox inbox export or your own scout output), drafts voice-matched comments that add real value, and collects approve/edit/reject decisions one by one. Nothing posts without explicit approval. Use when the user types "/reddit-engage" or says "draft Reddit replies", "en…

- **Type:** Skill
- **Install:** `agentstack add skill-shawnla90-gtm-coding-agent-reddit-engage`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [shawnla90](https://agentstack.voostack.com/s/shawnla90)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [shawnla90](https://github.com/shawnla90)
- **Source:** https://github.com/shawnla90/gtm-coding-agent/tree/main/skills/reddit-engage

## Install

```sh
agentstack add skill-shawnla90-gtm-coding-agent-reddit-engage
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# reddit-engage

Draft voice-matched Reddit comments from scouted opportunities, get approval, then (and only then) post.

## The queue

Input is a queue of scouted opportunities — a Clearbox opportunity inbox export, or the output of your own scout script. Each item carries: subreddit, post title, URL, why it surfaced, and a score. Track status per item: `scouted → drafted → approved | rejected → posted`.

Count and report the queue state before drafting anything. If nothing is scouted, say so and stop.

## Voice rules (what keeps an account alive)

- Write like a builder sharing what they learned, not a marketer promoting.
- Casual, direct, no corporate speak. No em-dashes as filler.
- Self-deprecating humor is fine; "as an expert" framing is not.
- No emojis unless the sub's culture uses them heavily.
- **No hard CTAs and no links to your stuff in comments.** The profile bio does that work.
- Match the energy of the thread: technical threads get technical replies.
- Reference your real experience, not your brand. Share what happened, never drop the product name unprompted.

## Steps

1. **Load the queue** and show the counts by status.
2. **Present each opportunity**: subreddit, title, score, why it matched, URL.
3. **Draft a comment per item.** Read the post first. The reply must add genuine value on its own: a tip, a "here's what worked for me", a relevant experience. 2–5 sentences for comments; longer only if the post warrants depth. If you can't draft something genuine, skip it and say why.
4. **Collect decisions one at a time**: approve / edit (user supplies the text) / reject (record the reason). **Save the queue after every decision**, not at the end — progress is never lost.
5. **Summarize**: approved / rejected / skipped, and what happens next.

## Rules

1. **Human-in-the-loop always** — nothing posts without explicit per-item approval.
2. **Save after each decision** — write the queue incrementally.
3. **Voice compliance** — run every draft through the slop filter: no "game-changer", "revolutionize", "unlock", "level up", "deep dive".
4. **No self-promotion in comments** — share experiences, not links.
5. **Skip gracefully** — 3 good comments beat 10 mid ones. If a post doesn't warrant a genuine reply, skip.
6. **Read the room** — contentious threads or threads outside your real expertise get skipped.

## Related

- `https://github.com/shawnla90/ClearboxGTM/blob/main/playbooks/how-to-win-on-reddit.md` — why the no-links, value-first rules exist
- `../../starters/reddit-buyer-signals/` — the scout/score pipeline that fills the queue
- `../../starters/reddit-buyer-signals/content.py` — batch draft generation the approval loop can start from

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [shawnla90](https://github.com/shawnla90)
- **Source:** [shawnla90/gtm-coding-agent](https://github.com/shawnla90/gtm-coding-agent)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-shawnla90-gtm-coding-agent-reddit-engage
- Seller: https://agentstack.voostack.com/s/shawnla90
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
