Comment Responder
Ootto-AI/claude-content-skills
Turn every comment into a lead on autopilot. An agent skill from Ootto-AI/claude-content-skills.
Automate Instagram comment-to-DM funnels using the Upload-Post API.
$ npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills comment-funnel --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/instagram-auto-reply-comments .claude/skills/comment-funnel && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "comment-funnel" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/instagram-auto-reply-comments into .claude/skills/comment-funnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-funnel", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/instagram-auto-reply-commentsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills comment-funnel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/instagram-auto-reply-comments .agents/skills/comment-funnel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "comment-funnel" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/instagram-auto-reply-comments into .agents/skills/comment-funnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-funnel", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills comment-funnel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/instagram-auto-reply-comments .cursor/skills/comment-funnel && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "comment-funnel" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/instagram-auto-reply-comments into .cursor/skills/comment-funnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-funnel", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/instagram-auto-reply-comments--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills comment-funnel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/instagram-auto-reply-comments .gemini/skills/comment-funnel && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "comment-funnel" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/instagram-auto-reply-comments into .gemini/skills/comment-funnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-funnel", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills comment-funnelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/instagram-auto-reply-comments .github/skills/comment-funnel && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "comment-funnel" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/instagram-auto-reply-comments into .github/skills/comment-funnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-funnel", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills comment-funnel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/instagram-auto-reply-comments .opencode/skills/comment-funnel && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "comment-funnel" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/instagram-auto-reply-comments into .opencode/skills/comment-funnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comment-funnel", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
comment-funnelAutomate Instagram comment-to-DM funnels using the Upload-Post API.
Comment Funnel is an agent skill from LeoYeAI/openclaw-master-skills. Automate Instagram comment-to-DM funnels using the Upload-Post API. Auto-reply to Instagram comments with private DMs, build lead capture funnels, and set up keyword-triggered DM automation (ManyChat alternative). Send automated direct messages to commenters on Instagram Reels and posts. Features 24/7 comment monitoring, smart AI semantic filtering, and scalable Instagram DM outreach campaigns via the official Meta Private Replies API. Perfect for comment automation, auto DMs, and lead magnets.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `README.md`, `_meta.json` and `references/compliance.md`).
It sits in Productivity & Automation, covering Messaging and chat bots, Content marketing and Lead generation. It works with Instagram. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.upload-post.cominstagram.comAlso links to:
docs.upload-post.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Comment Funnel loads about 4.1k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 1,833 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,833 words, ~4,057 tokens.
.claude/skills/comment-funnel/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Turn Instagram comments into conversations. This skill lets you monitor comments on a post, detect trigger keywords (semantically, not just exact match), and send personalized private DMs to each commenter automatically.
This is the same mechanism ManyChat, Inro, and every major DM automation tool uses — the official Instagram Private Replies API. Fully compliant with Meta's terms.
All requests require an API key:
Authorization: Apikey YOUR_API_KEYBase URL: https://api.upload-post.com/api
The user parameter is the profile name (not username) from the Upload-Post dashboard.
The typical flow a creator wants:
Your job as an agent is to orchestrate this. There are two modes:
Choose based on what the user asks. If they say "set up a funnel" or "activate monitoring", use persistent. If they say "check comments" or "send DMs to whoever commented", use one-shot.
These start a background process on Upload-Post's servers that monitors comments and sends DMs automatically. No need for the agent to stay running.
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/start" \
-H "Authorization: Apikey YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"post_url": "https://www.instagram.com/p/ABC123/",
"reply_message": "Hey! Here is your guide: https://example.com/guide",
"profile_username": "PROFILE",
"monitoring_interval": 15,
"trigger_keywords": ["guide", "link"]
}'Parameters:
post_url (required): The Instagram post URL to monitorreply_message (required): The DM message to send to matching commentersprofile_username (required): Upload-Post profile name with Instagram connectedmonitoring_interval (optional): Minutes between checks. Default: 15. Minimum: 15 (values below 15 are auto-clamped)trigger_keywords (optional): Array of keywords to filter comments. Only comments containing at least one keyword receive a DM. Case-insensitive and accent-insensitive ("guía" matches "guia"). If omitted, ALL commenters receive a DM.Returns a monitor_id you'll need for managing the monitor.
Limits:
Important: This monitor sends a fixed reply_message — it does not do semantic filtering or personalization. If trigger_keywords is set, it only replies to comments containing those words (case and accent insensitive). If omitted, it replies to ALL commenters. For smart semantic filtering, use one-shot mode instead.
curl "https://api.upload-post.com/api/uploadposts/autodms/status" \
-H "Authorization: Apikey YOUR_KEY"Returns all active monitors with their status: running, paused, or stopped.
curl "https://api.upload-post.com/api/uploadposts/autodms/logs?monitor_id=MONITOR_ID" \
-H "Authorization: Apikey YOUR_KEY"Returns activity logs: when the monitor started, how many DMs sent, any errors.
# Pause (keeps config, stops checking)
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/pause" \
-H "Authorization: Apikey YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"monitor_id": "MONITOR_ID"}'
# Resume a paused monitor
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/resume" \
-H "Authorization: Apikey YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"monitor_id": "MONITOR_ID"}'
# Stop (deactivates)
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/stop" \
-H "Authorization: Apikey YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"monitor_id": "MONITOR_ID"}'
# Delete (permanent)
curl -X POST "https://api.upload-post.com/api/uploadposts/autodms/delete" \
-H "Authorization: Apikey YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"monitor_id": "MONITOR_ID"}'These are for scanning comments on-demand and sending DMs with AI-powered semantic matching and personalization.
Find the post to monitor.
curl "https://api.upload-post.com/api/uploadposts/media?platform=instagram&user=PROFILE" \
-H "Authorization: Apikey YOUR_KEY"Returns an array of recent posts with id, caption, permalink, timestamp, and media_type. Use the id field as post_id in subsequent calls.
curl "https://api.upload-post.com/api/uploadposts/comments?platform=instagram&user=PROFILE&post_id=POST_ID" \
-H "Authorization: Apikey YOUR_KEY"You can also use post_url instead of post_id:
curl "https://api.upload-post.com/api/uploadposts/comments?platform=instagram&user=PROFILE&post_url=https://www.instagram.com/p/ABC123/" \
-H "Authorization: Apikey YOUR_KEY"Rate limit: Once per 10 minutes per post. Plan your polling accordingly — don't call this in a tight loop.
Each comment includes id, text, username, and timestamp.
This is the core action. It sends a DM to the person who wrote the comment, using Meta's official Private Replies API.
curl -X POST "https://api.upload-post.com/api/uploadposts/comments/reply" \
-H "Authorization: Apikey YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"platform": "instagram",
"user": "PROFILE",
"comment_id": "COMMENT_ID",
"message": "Hey! Here is your guide: https://example.com/guide"
}'Constraints you must respect:
Check for replies to your DMs.
curl "https://api.upload-post.com/api/uploadposts/dms/conversations?platform=instagram&user=PROFILE" \
-H "Authorization: Apikey YOUR_KEY"Returns conversation threads with participant_id, messages, and metadata.
Continue a conversation with someone who replied.
curl -X POST "https://api.upload-post.com/api/uploadposts/dms/send" \
-H "Authorization: Apikey YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"platform": "instagram",
"user": "PROFILE",
"recipient_id": "USER_ID",
"message": "Glad you liked it! Let me know if you have questions."
}'24-hour window: You can only send follow-up DMs within 24 hours of the user's last reply. After that, the window closes and you cannot message them until they message you again.
When the user asks you to set up a comment funnel, follow these steps:
Ask the user (if not already provided):
user parameter — this is the Upload-Post profile name, not their Instagram username. If they don't know it, call GET /uploadposts/me to validate the key. If they have no profiles or no Instagram connected, direct them to https://app.upload-post.com/manage-users to create a profile and connect their Instagram Business account first)Call GET /uploadposts/media to list recent posts. Match by URL, caption content, or just pick the latest. Confirm with the user which post to monitor.
Use this when the user wants continuous monitoring ("set up a funnel", "activate it", "keep it running").
POST /uploadposts/autodms/start with the post URL, reply message, profile, and intervalmonitor_id and tell the userGET /uploadposts/autodms/statusThe backend handles everything from here — checking comments, sending DMs, avoiding duplicates, respecting rate limits. The agent doesn't need to stay running.
To check on it later:
GET /uploadposts/autodms/status → is it running?GET /uploadposts/autodms/logs?monitor_id=X → how many DMs sent?To manage it:
POST /uploadposts/autodms/pause → pause without losing configPOST /uploadposts/autodms/resume → resume after pausePOST /uploadposts/autodms/stop → deactivatePOST /uploadposts/autodms/delete → remove permanentlyTrade-off: The persistent monitor sends the same fixed message — no personalization per commenter. Use trigger_keywords to filter so only relevant comments get a DM. Without keywords, it replies to every new comment.
Use this when the user wants intelligent processing ("check my comments", "DM the ones who asked for the guide", or when the post gets mixed comments — some requesting, some just engaging).
Call GET /uploadposts/comments with the post ID.
For each comment, decide if it matches the trigger. Use semantic matching, not just exact string comparison:
| Comment | Trigger: "GUIDE" | Match? |
|---|---|---|
| "GUIDE" | Exact match | Yes |
| "guide please" | Contains keyword | Yes |
| "I want the guide!" | Semantic intent | Yes |
| "can you send me the guide?" | Semantic intent | Yes |
| "guía" | Translation | Yes |
| "great post!" | No intent | No |
| "nice guide on the topic" | Ambiguous — talking about the content, not requesting | No |
The key question: is this person requesting the thing the creator offered? Use judgment, not regex.
For each matching comment that hasn't been replied to yet:
Personalize the message. Don't send identical copy-paste to everyone. Use their name or reference their comment:
Call POST /uploadposts/comments/reply with the personalized message.
Track which comment IDs you've already replied to (keep a list in your working memory) to avoid duplicate attempts.
After processing, tell the user:
If the user wants follow-up handling:
GET /uploadposts/dms/conversations to check for new repliesPOST /uploadposts/dms/send to respondA smart approach: start a persistent monitor for the baseline (everyone gets the DM), then periodically run one-shot scans to check DM conversations and do personalized follow-ups. Tell the user this option if it fits their use case.
These are Meta's rules. Breaking them gets the account restricted, not just rate-limited.
What's allowed (you're doing this):
Hard limits:
What would get the account banned (never do this):
| Code | Meaning | What to Do |
|---|---|---|
| 200 | DM sent | Track as success |
| 400 | Bad request | Check parameters — likely missing comment_id or message |
| 401 | Invalid API key | Ask user to check their key |
| 404 | Comment not found | Comment may have been deleted |
| 429 | Rate limit / DM limit reached | Stop sending. Tell the user how many were sent and that the limit was hit |
| 500 | Server error | Retry once, then report to user |
When you hit a 429, stop the entire batch. Don't keep trying. Report to the user: "Sent X DMs successfully. Hit the rate limit — the remaining Y commenters will need to be processed later."
User: "In my latest Reel I told people to comment CURSO to get info about my course. Set up the funnel to DM them the enrollment link https://mycourse.com/enroll"
Agent workflow:
GET /uploadposts/media?platform=instagram&user=profilename → find latest ReelGET /uploadposts/comments?platform=instagram&user=profilename&post_id=12345POST /uploadposts/comments/reply with personalized DMThis skill works on Instagram only. The comments and DM endpoints in the Upload-Post API currently support Instagram exclusively. This is because Meta's Private Replies API is Instagram-specific, and other platforms (TikTok, LinkedIn, X, etc.) don't offer equivalent APIs for comment-to-DM automation.
This is not a limitation of Upload-Post — it's how the social platform APIs work. Instagram is where 90%+ of comment-to-DM funnels run commercially (ManyChat, Inro, etc. are all Instagram-first for this reason).
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/instagram-auto-reply-comments of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Comment Funnel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Comment Funnel this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Comment ResponderOotto-AI/claude-content-skills | 112 | — | ~717 | Automated safety check: Pass | MIT | |
| Dm Script WriterOotto-AI/claude-content-skills | 112 | — | ~472 | Automated safety check: Pass | MIT | |
| 100m Leadsgetagentseal/founder-playbook | 724 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Bright Data MCPbrightdata/skills | 264 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Business Contact and Social Links Finderbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
Ootto-AI/claude-content-skills
Turn every comment into a lead on autopilot. An agent skill from Ootto-AI/claude-content-skills.
Ootto-AI/claude-content-skills
Writes the DM flow that turns an inbound comment or lead-magnet request into a booked call or a sale.
getagentseal/founder-playbook
Builds lead generation systems using Alex Hormozi's Core Four framework (warm outreach, content, cold outreach, paid ads), lead magnets, and Rule of 100.
brightdata/skills
Bright Data MCP handles ALL web data operations. An agent skill from brightdata/skills.
browser-act/skills
Finds a company's official website and social profiles from its name, or collects social links from a website URL, using BrowserAct templates run by a Python script.
browser-act/skills
Extracts business contact details from Google Maps search results and place detail pages, then visits each business website to collect emails, phone numbers, and social media profiles (Facebook…
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Works with
Categories
Automate Instagram comment-to-DM funnels using the Upload-Post API. Comment Funnel is an agent skill from LeoYeAI/openclaw-master-skills. Automate Instagram comment-to-DM funnels using the Upload-Post API.
Comment Funnel fits situations like: tasks that involve Messaging and chat bots; tasks that involve Content marketing; tasks that involve Lead generation.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a claude-code`. Or copy the skill folder (skills/instagram-auto-reply-comments in LeoYeAI/openclaw-master-skills) into .claude/skills/comment-funnel in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a codex`. Or copy the skill folder (skills/instagram-auto-reply-comments in LeoYeAI/openclaw-master-skills) into .agents/skills/comment-funnel in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill comment-funnel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comment-funnel, .gemini/skills/comment-funnel, .github/skills/comment-funnel and .opencode/skills/comment-funnel in your project.
Going by SKILL.md and its folder, Comment Funnel needs the command-line tools its instructions call (curl). Our summary lists: A credential in YOUR_API_KEY; A credential in YOUR_KEY.
SKILL.md names 3 domains. In commands or code: api.upload-post.com and instagram.com; the agent is likely to contact these when it follows the instructions. As links in the text: docs.upload-post.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Comment Funnel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 559 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Comment Funnel: Comment Responder (Ootto-AI/claude-content-skills, 112 stars), Dm Script Writer (Ootto-AI/claude-content-skills, 112 stars), 100m Leads (getagentseal/founder-playbook, 724 stars) and Bright Data MCP (brightdata/skills, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.