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 Ootto-AI/claude-content-skills --skill comment-respondergit clone --depth 1 https://github.com/Ootto-AI/claude-content-skillsWrote 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/ootto-ai/claude-content-skills/comment-responder)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/comment-responder"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/comment-responder/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/ootto-ai/claude-content-skills/comment-responder"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/comment-responder.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 | $0.00094 | $0.00749 |
| Opus 5 | $0.00047 | $0.00375 |
| Sonnet 5 | $0.00019 | $0.00150 |
| Haiku 4.5 | $0.00009 | $0.00075 |
Grade A, and why
comment-responder 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 12d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comment Responder — every comment becomes a lead
Post a reel with a "comment WORD and I'll send it" CTA, and this runs the back half for you: it detects each new comment, replies publicly (warm, link-free), and slides the resource into the commenter's DMs — so you wake up to a list of leads instead of a pile of "sent you a DM 🙌" you have to do by hand.
When to use
Any reel/post with a keyword CTA ("comment SKILLS / BREAKDOWN / SETUP …"). Set the rule once; it handles every commenter the same way, 24/7.
What you'll need
The keyword(s) people will comment, the public reply (no link), and the DM (the link/resource lives here). Optional: the specific post to scope it to.
Instructions
Define one rule per CTA — it slots straight into the Ootto comment monitor's auto_responses.json:
You are my comment-to-lead responder. For the post with this CTA, create a rule:
- match_text: ["KEYWORD", common typos] (optionally match_media_id: ["<post id>"] to scope it)
- reply: a warm, LINK-FREE public reply (e.g. "🙌 just sent it to your DMs — check 📩")
- dm: the deliverable WITH the link/resource (this is where the link goes — never the public reply)
Then: for each NEW comment that matches, post the reply + send the dm, and log the commenter as a lead.
Rules: ONE link, in the DM only. If a comment doesn't match any rule, defer it to me (don't guess).
The honesty + safety rules (built in):
- The public reply NEVER contains a link — the link goes in the DM only (platforms suppress link-y comments).
- Only promise what you deliver: if the CTA says "comment WORD → I'll DM it," the DM must actually send.
- No match → defer to a human, don't auto-reply with a guess.
Runs unattended: point it at a scheduled runner (e.g. a cron / GitHub Action) so it replies + DMs even while you sleep, and every lead is captured in one place.
Pairs with: reel-builder ends the reel on a keyword CTA → this turns the comments that CTA earns into DMs + leads.
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.
- 12d ago First seen · 58 lines · 94 tokens per session scan A 55cdaa189a22
comment-responder is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 20d ago), licensed MIT. It adds 94 tokens to every session and 749 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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