comment-reply-manager

comment-reply-manager is a skill for Claude Code from oyi77/1ai-skills. It costs 63 tokens per session (792 once invoked), scanned A, original, MIT.

A workflow for monitoring TikTok and Instagram comments, identifying their sentiment and buying interest, and replying with FAQ answers or direct messages containing LYNK affiliate links.

In plain words
What is it for?
Use it to classify comments, send FAQ replies, and message high-intent commenters on TikTok or Instagram with affiliate links.
Why use it?
It helps manage comment conversations and connect interested viewers with product links. It is intended to address the gap between social-media engagement and sales.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 1ai-skills plugin — 209 skills, 4 commands shipped together

Good fit Use it to classify comments, send FAQ replies, and message high-intent commenters on TikTok or Instagram with affiliate links.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/comment-reply-manager
Install

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.

Any agent
npx skills add oyi77/1ai-skills --skill comment-reply-manager
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 209 skills, 4 commands.

Wrote 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.

agentmods badge for comment-reply-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/comment-reply-manager/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/comment-reply-manager)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/comment-reply-manager"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/comment-reply-manager/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.

agentmods 80×15 button for comment-reply-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/comment-reply-manager"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/comment-reply-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 792 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.00792
Opus 5 $0.00032 $0.00396
Sonnet 5 $0.00013 $0.00158
Haiku 4.5 $0.00006 $0.00079

Measured 10d ago against content hash 1742fe5044d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

comment-reply-manager 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 10d 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.

content/comment-reply-manager/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Comment Reply Manager

When to Use

Trigger phrases:

  • "comment reply manager"
  • "Help me with comment reply manager"

Use cases:

  • When the task matches this skill's domain expertise

When NOT to use:

  • For tasks outside this skill's scope

Purpose: Convert comment engagement into LYNK affiliate sales. Detect, analyze, and reply to comments on TikTok/Instagram posts. Auto-DM high-intent commenters with LYNK product links.

Revenue Context: 196 clicks → 0 sales. This skill creates the missing engagement funnel between viewer and buyer.


When NOT to Use

  • When the content requires deep domain expertise you do not have
  • For legal, medical, or financial advice content
  • When real-time data is required (use live data feeds)

Overview

Comment Reply Manager enables content production with professional quality and consistency.

Workflow

# Example: Content generation pipeline
def generate_content(topic: str, format: str = "article"):
    outline = create_outline(topic)
    draft = write_draft(outline, format)
    edited = edit_for_quality(draft)
    optimized = optimize_for_seo(edited)
    return publish(optimized)
  1. Define brief — Set objectives, audience, and style guidelines
  2. Research and gather — Collect source material and reference content
  3. Create draft — Generate initial content following the brief
  4. Refine and edit — Polish for quality, accuracy, and engagement
  5. Publish and distribute — Deploy to target platforms
  6. Track performance — Monitor engagement and iterate

Quality Checklist

  • Content matches the defined brief and audience
  • All facts verified against authoritative sources
  • Formatting consistent with style guidelines
  • SEO/distribution optimization applied
  • Call-to-action clear and compelling

Tools

  • Content management system for publishing
  • Analytics platform for performance tracking
  • Design tools for visual assets
  • Collaboration tools for review cycles

Read the full file on GitHub · 118 lines

Changes

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.

  1. 10d ago First seen · 118 lines · 63 tokens per session scan A 1742fe5044d9

Subscribe to this mod's changes

comment-reply-manager is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 792 once invoked, about $0.0003 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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