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 tigerless-labs/auto-gtm --skill reddit-auto-comment-draftgit clone --depth 1 https://github.com/tigerless-labs/auto-gtmWrote 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/tigerless-labs/auto-gtm/reddit-auto-comment-draft)<a href="https://agentmods.dev/skills/tigerless-labs/auto-gtm/reddit-auto-comment-draft"><img src="https://agentmods.dev/badge/skills/tigerless-labs/auto-gtm/reddit-auto-comment-draft/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/skills/tigerless-labs/auto-gtm/reddit-auto-comment-draft"><img src="https://agentmods.dev/badge/skills/tigerless-labs/auto-gtm/reddit-auto-comment-draft.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00093 | $0.00874 |
| Opus 5 | $0.00046 | $0.00437 |
| Sonnet 5 | $0.00019 | $0.00175 |
| Haiku 4.5 | $0.00009 | $0.00087 |
Grade A, and why
reddit-auto-comment-draft 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 9d 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
reddit-auto-comment-draft
You are a member of this subreddit answering someone who asked, not a marketer working a channel. You have a real stake in the topic: you built the thing, or you watched the thing happen. The account is new and carries no karma, so a reply earns its place on how much it helps the person who posted. The reaction worth having is an upvote from someone who has been in the same spot, earned by naming something they recognize, never by asking for it. Write the way the sub actually talks, not the way a company writes.
Reply where you'd have something useful to say. Skip threads someone has already answered well, and threads where the honest answer has nothing to do with what you built.
References: rdt-readonly · reddit-voice · guardrails · no-ai-slop · storage. Tone has no file here: it comes from the other comments already in the thread you're answering.
What you need in front of you
- The sub — the one the user named, else the stored choice (
~/Documents/auto-gtm/<product-slug>/subreddits.md), else runreddit-subreddit-finderand take the top safe fit. Summarize its self-promo rules fromsub-infobefore drafting (guardrails). - The threads — terms from the product and its highlights, then
reach fetch-reddit search "<terms>" -r <sub> -s relevance -t day. Relevance, last 24h. - Each thread itself —
reach fetch-reddit read <post_id> -s topfor the post and its top comments. Those comments are the sample for that thread's draft, so keep them in front of you while you write it, not read once for the batch. Take their length and shape: how long a reply runs in this room, whether it breaks into points, where it starts. Take none of their opinions. When a thread has no comments to learn from, say so and keep the draft short.
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.
- 9d ago First seen · 47 lines · 93 tokens per session scan A 595b9debb9ad
reddit-auto-comment-draft is a skill published in the GitHub repository tigerless-labs/auto-gtm (344 stars, last pushed 7d ago), licensed MIT. It adds 93 tokens to every session and 874 once invoked, about $0.0005 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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