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 skills add shawnla90/gtm-coding-agent --skill reddit-engagegit clone --depth 1 https://github.com/shawnla90/gtm-coding-agentWrote 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/skills/shawnla90/gtm-coding-agent/reddit-engage)<a href="https://agentmods.dev/skills/shawnla90/gtm-coding-agent/reddit-engage"><img src="https://agentmods.dev/badge/skills/shawnla90/gtm-coding-agent/reddit-engage.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00088 | $0.00746 |
| Opus 5 | $0.00044 | $0.00373 |
| Sonnet 5 | $0.00018 | $0.00149 |
| Haiku 4.5 | $0.00009 | $0.00075 |
Grade A, and why
reddit-engage 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- Load the queue and show the counts by status.
- Present each opportunity: subreddit, title, score, why it matched, URL.
- 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.
- 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.
- Summarize: approved / rejected / skipped, and what happens next.
Rules
- Human-in-the-loop always — nothing posts without explicit per-item approval.
- Save after each decision — write the queue incrementally.
- Voice compliance — run every draft through the slop filter: no "game-changer", "revolutionize", "unlock", "level up", "deep dive".
- No self-promotion in comments — share experiences, not links.
- Skip gracefully — 3 good comments beat 10 mid ones. If a post doesn't warrant a genuine reply, skip.
- Read the room — contentious threads or threads outside your real expertise get skipped.
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 · 49 lines · 88 tokens per session scan A 47f2eb167a67
reddit-engage is a skill published in the GitHub repository shawnla90/gtm-coding-agent (141 stars, last pushed 5d ago), licensed MIT. It adds 88 tokens to every session and 746 once invoked, about $0.0004 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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