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SKILL verified MIT Self-run

Reddit Engage

skill-shawnla90-gtm-coding-agent-reddit-engage · by shawnla90

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…

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Install

$ agentstack add skill-shawnla90-gtm-coding-agent-reddit-engage

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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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.

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

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Versions

  • v0.1.0 Imported from the upstream source.