Configuring Horizon
coollabsio/coolify
A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.
Zero-install localhost tunnels over SSH via Pinggy. An agent skill from Luciole-Studio/Misaka-Agent.
$ npx skills add Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent pinggy-tunnel --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/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/misaka/core/skills/assets/optional/devops/pinggy-tunnel .claude/skills/pinggy-tunnel && 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 "pinggy-tunnel" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/devops/pinggy-tunnel into .claude/skills/pinggy-tunnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pinggy-tunnel", 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/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/devops/pinggy-tunnelType 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 Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent pinggy-tunnel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/misaka/core/skills/assets/optional/devops/pinggy-tunnel .agents/skills/pinggy-tunnel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pinggy-tunnel" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/devops/pinggy-tunnel into .agents/skills/pinggy-tunnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pinggy-tunnel", 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 Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent pinggy-tunnel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/misaka/core/skills/assets/optional/devops/pinggy-tunnel .cursor/skills/pinggy-tunnel && 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 "pinggy-tunnel" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/devops/pinggy-tunnel into .cursor/skills/pinggy-tunnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pinggy-tunnel", 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/Luciole-Studio/Misaka-Agent.git --path misaka/core/skills/assets/optional/devops/pinggy-tunnel--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 Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent pinggy-tunnel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/misaka/core/skills/assets/optional/devops/pinggy-tunnel .gemini/skills/pinggy-tunnel && 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 "pinggy-tunnel" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/devops/pinggy-tunnel into .gemini/skills/pinggy-tunnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pinggy-tunnel", 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 Luciole-Studio/Misaka-Agent pinggy-tunnelInstalls 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 Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/misaka/core/skills/assets/optional/devops/pinggy-tunnel .github/skills/pinggy-tunnel && 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 "pinggy-tunnel" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/devops/pinggy-tunnel into .github/skills/pinggy-tunnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pinggy-tunnel", 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 Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Luciole-Studio/Misaka-Agent pinggy-tunnel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/misaka/core/skills/assets/optional/devops/pinggy-tunnel .opencode/skills/pinggy-tunnel && 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 "pinggy-tunnel" agent skill from https://github.com/Luciole-Studio/Misaka-Agent/tree/main/misaka/core/skills/assets/optional/devops/pinggy-tunnel into .opencode/skills/pinggy-tunnel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pinggy-tunnel", 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.
pinggy-tunnelZero-install localhost tunnels over SSH via Pinggy. An agent skill from Luciole-Studio/Misaka-Agent.
Pinggy Tunnel is an agent skill from Luciole-Studio/Misaka-Agent. Zero-install localhost tunnels over SSH via Pinggy.
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs. The repository describes itself as: A multi-agent research system for the humanities and social sciences. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3bcf7a3. 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:
sshcurlpythonopensslFrom 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:
yqycl-98-162-69-48.a.free.pinggy.linkFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
PINGGY_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pinggy Tunnel loads about 3.4k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 1,078 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 Luciole-Studio/Misaka-Agent at commit 3bcf7a3, republished under its MIT licence (© Luciole-Studio). 1,078 words, ~3,378 tokens.
.claude/skills/pinggy-tunnel/SKILL.md (or your agent's skills folder).Expose a local service (dev server, webhook receiver, MCP endpoint, demo) to the public internet using a Pinggy SSH reverse tunnel. No daemon to install — the user's stock SSH client connects to a.pinggy.io:443 and Pinggy hands back a public HTTP/HTTPS URL.
Free tier: 60-minute tunnels, random subdomain, no signup. Pro tier ($3/mo) is an opt-in with a token.
cloudflared / ngrok binary, and installing one would be overkillIf the host already has cloudflared configured, prefer the cloudflared-quick-tunnel skill — Cloudflare quick tunnels don't expire after 60 minutes.
ssh on PATH (ssh -V). Default on Linux, macOS, and Windows 10+. No other install.127.0.0.1:<port> before the tunnel starts. Pinggy will return URLs but they'll 502 until the local origin is up.Optional:
PINGGY_TOKEN env var for paid Pro features (persistent subdomain, custom domain, multiple tunnels, no 60-minute cap). Free tier needs no credentials.# Plain HTTP/HTTPS tunnel for port 8000 (free tier)
ssh -p 443 -o StrictHostKeyChecking=no -o ServerAliveInterval=30 \
-R0:localhost:8000 free@a.pinggy.io
# TCP tunnel (databases, raw SSH, etc.)
ssh -p 443 -o StrictHostKeyChecking=no -R0:localhost:5432 tcp@a.pinggy.io
# TLS tunnel (Pinggy can't decrypt — bring your own certs at origin)
ssh -p 443 -o StrictHostKeyChecking=no -R0:localhost:443 tls@a.pinggy.io
# Basic auth gate (b:user:pass)
ssh -p 443 -o StrictHostKeyChecking=no -R0:localhost:8000 \
"b:admin:secret+free@a.pinggy.io"
# Bearer token gate (k:token)
ssh -p 443 -o StrictHostKeyChecking=no -R0:localhost:8000 \
"k:mysecrettoken+free@a.pinggy.io"
# IP whitelist (w:CIDR)
ssh -p 443 -o StrictHostKeyChecking=no -R0:localhost:8000 \
"w:203.0.113.0/24+free@a.pinggy.io"
# Enable CORS + force HTTPS redirect
ssh -p 443 -o StrictHostKeyChecking=no -R0:localhost:8000 \
"co+x:https+free@a.pinggy.io"
# Pro tier (persistent URL, no 60-min cap)
ssh -p 443 -o StrictHostKeyChecking=no -R0:localhost:8000 "$PINGGY_TOKEN+a.pinggy.io"The model SHOULD use the terminal tool. The tunnel must stay alive for the duration of the share, so run it as a background process and parse the public URL from stdout.
curl -sI http://127.0.0.1:8000/ | head -1
# expect HTTP/1.x 200 (or any non-connection-refused response)If nothing is listening yet, start it first (e.g. python -m http.server 8000 --bind 127.0.0.1). Pinggy will happily return a URL pointed at nothing — the user will see 502 until the origin comes up.
Use terminal(background=True) and capture output to a logfile (Pinggy prints the URLs on stdout, then keeps the connection open):
LOG=/tmp/pinggy-8000.log
nohup ssh -p 443 \
-o StrictHostKeyChecking=no \
-o UserKnownHostsFile=/dev/null \
-o ServerAliveInterval=30 \
-o ServerAliveCountMax=3 \
-R0:localhost:8000 free@a.pinggy.io \
> "$LOG" 2>&1 &
echo $! > /tmp/pinggy-8000.pidStrictHostKeyChecking=no + UserKnownHostsFile=/dev/null skips the first-run host-key prompt. ServerAliveInterval=30 keeps the SSH session from getting torn down by an idle NAT.
sleep 4
grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' /tmp/pinggy-8000.log | head -1Expected output looks like:
You are not authenticated.
Your tunnel will expire in 60 minutes.
http://yqycl-98-162-69-48.a.free.pinggy.link
https://yqycl-98-162-69-48.a.free.pinggy.linkHand the https://...pinggy.link URL to the user.
curl -sI https://<the-url>/ | head -3
# expect 200/302/whatever the local origin actually returnsIf you get 502 Bad Gateway, the SSH session is up but the local origin isn't listening — fix step 1 first.
kill "$(cat /tmp/pinggy-8000.pid)"
# or, if the pid file got lost:
pkill -f 'ssh -p 443 .* free@a\.pinggy\.io'If you have a session_id from terminal(background=True), prefer process(action='kill', session_id=...).
Pinggy stacks control flags into the SSH username separated by +. Always quote the whole user@host argument when it contains a +:
| Keyword | Effect |
|---|---|
b:user:pass | HTTP Basic auth gate |
k:token | Bearer-token header gate (Authorization: Bearer <token>) |
w:CIDR | IP whitelist (single IP or CIDR, repeatable) |
co | Add Access-Control-Allow-Origin: * (CORS) |
x:https | Force HTTPS — auto-redirect HTTP to HTTPS |
a:Name:Value | Add request header |
u:Name:Value | Update request header |
r:Name | Remove request header |
qr | Print a QR code of the URL to stdout (handy for mobile sharing) |
Combine freely: "b:admin:secret+co+x:https+free@a.pinggy.io".
Pinggy can mirror the inbound traffic to localhost:4300 for inspection. Add a local forward to the SSH command:
ssh -p 443 -L4300:localhost:4300 -R0:localhost:8000 free@a.pinggy.ioThen open http://localhost:4300 in a browser to see live request/response pairs.
PINGGY_TOKEN (Pro) or auto-restart with a shell loop (note that the URL changes on every restart for free-tier).+ in usernames must be quoted. Bare ssh ... b:admin:secret+free@a.pinggy.io works in bash but breaks under shells that treat + specially or when assembled programmatically. Always wrap in double quotes.b:, k:, or w: for non-public services.process(action='log') may miss SSH banner output. Pinggy prints the URLs and then the SSH session goes interactive. Always redirect to a logfile and grep the file directly — same pattern as cloudflared-quick-tunnel.-o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null for unattended runs.<subdomain>.a.pinggy.online:<port> pair, not an https URL. Parse with a different regex (tcp:// and a port). Don't assume every Pinggy tunnel is HTTP."$PINGGY_TOKEN+a.pinggy.io" (no free@). With a token you can also add :persistent for a stable subdomain — see pinggy.io/docs/.Composite patterns combining a local origin with a Pinggy tunnel. Each recipe is self-contained — start the origin, start the tunnel, parse the URL, hand it back to the user.
Use this when an external service (Stripe, GitHub, Discord, AgentMail, etc.) needs to POST to a publicly reachable URL during a local task.
# 1. Tiny capturing server: every request gets appended to /tmp/webhook-hits.log
cat >/tmp/webhook-server.py <<'PY'
import http.server, json, datetime, pathlib
LOG = pathlib.Path("/tmp/webhook-hits.log")
class H(http.server.BaseHTTPRequestHandler):
def _capture(self):
n = int(self.headers.get("content-length") or 0)
body = self.rfile.read(n).decode("utf-8", "replace") if n else ""
rec = {"t": datetime.datetime.utcnow().isoformat(), "path": self.path,
"method": self.command, "headers": dict(self.headers), "body": body}
with LOG.open("a") as f: f.write(json.dumps(rec) + "\n")
self.send_response(200); self.send_header("content-type","application/json")
self.end_headers(); self.wfile.write(b'{"ok":true}\n')
def do_GET(self): self._capture()
def do_POST(self): self._capture()
def log_message(self,*a,**k): pass
http.server.HTTPServer(("127.0.0.1", 18080), H).serve_forever()
PY
nohup python /tmp/webhook-server.py >/tmp/webhook-server.log 2>&1 &
echo $! >/tmp/webhook-server.pid
# 2. Tunnel — bearer-token-gate so randos can't pollute the capture log
nohup ssh -p 443 -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null \
-o ServerAliveInterval=30 \
-R0:localhost:18080 "k:$(openssl rand -hex 12)+free@a.pinggy.io" \
>/tmp/webhook-pinggy.log 2>&1 &
echo $! >/tmp/webhook-pinggy.pid
sleep 5
URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' /tmp/webhook-pinggy.log | head -1)
echo "Webhook URL: $URL"
# 3. While the agent works, watch hits land
tail -f /tmp/webhook-hits.logHand $URL to the service that needs to call you. Teardown: kill $(cat /tmp/webhook-server.pid) $(cat /tmp/webhook-pinggy.pid).
Use when a remote MCP client (Claude Desktop on another machine, a teammate's editor, etc.) needs to reach an MCP server running on the local box. Only works for MCP servers that speak HTTP transport — stdio-mode servers can't be tunneled.
# 1. Start the MCP server in HTTP mode (example: a FastMCP server on port 8765)
nohup python my_mcp_server.py --transport http --port 8765 \
>/tmp/mcp-server.log 2>&1 &
echo $! >/tmp/mcp-server.pid
# 2. Tunnel with a bearer token — MCP traffic should not be open to the internet
TOKEN=$(openssl rand -hex 16)
nohup ssh -p 443 -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null \
-o ServerAliveInterval=30 \
-R0:localhost:8765 "k:$TOKEN+free@a.pinggy.io" \
>/tmp/mcp-pinggy.log 2>&1 &
echo $! >/tmp/mcp-pinggy.pid
sleep 5
URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' /tmp/mcp-pinggy.log | head -1)
echo "MCP URL: $URL"
echo "Bearer token: $TOKEN"The remote client connects to $URL with Authorization: Bearer $TOKEN. Hermes' own native MCP client config: {"transport": "http", "url": "<URL>", "headers": {"Authorization": "Bearer <TOKEN>"}}.
Share a local model with a remote caller (another agent, a phone, a teammate). Ollama listens on :11434, vLLM and llama.cpp typically on :8000.
# Pre-req: the model server is already running on 127.0.0.1:11434 (Ollama default)
TOKEN=$(openssl rand -hex 16)
nohup ssh -p 443 -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null \
-o ServerAliveInterval=30 \
-R0:localhost:11434 "k:$TOKEN+co+free@a.pinggy.io" \
>/tmp/llm-pinggy.log 2>&1 &
echo $! >/tmp/llm-pinggy.pid
sleep 5
URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' /tmp/llm-pinggy.log | head -1)
echo "Endpoint: $URL"
echo "Token: $TOKEN"
# Verify
curl -s "$URL/api/tags" -H "Authorization: Bearer $TOKEN" | headco enables CORS so a browser caller can hit the endpoint. Drop co for backend-only callers. For an OpenAI-compatible vLLM/llama.cpp endpoint, callers use base URL $URL/v1 with Authorization: Bearer $TOKEN — but note Pinggy strips/replaces nothing in the body, so the model server itself sees Pinggy's token; the local server should be configured to ignore auth (it's already on 127.0.0.1) and let Pinggy do the gating.
The fastest "let a teammate poke at my running app" pattern. Random password, prints once, dies when you Ctrl-C.
PASS=$(openssl rand -base64 12 | tr -d '+/=' | head -c 12)
echo "Dev server password: $PASS"
ssh -p 443 -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null \
-o ServerAliveInterval=30 \
-R0:localhost:3000 "b:dev:$PASS+co+x:https+free@a.pinggy.io"
# URL prints to the terminal. Share URL + password. Ctrl-C to tear down.b:dev:$PASS gates the URL with HTTP Basic auth. x:https forces TLS. co adds CORS for SPA frontends.
# End-to-end: spin up a trivial origin, tunnel it, hit it, tear down
python -m http.server 18000 --bind 127.0.0.1 >/tmp/origin.log 2>&1 &
ORIGIN_PID=$!
nohup ssh -p 443 \
-o StrictHostKeyChecking=no \
-o UserKnownHostsFile=/dev/null \
-R0:localhost:18000 free@a.pinggy.io >/tmp/pinggy-verify.log 2>&1 &
SSH_PID=$!
sleep 5
URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' /tmp/pinggy-verify.log | head -1)
echo "URL: $URL"
curl -sI "$URL/" | head -1
kill "$SSH_PID" "$ORIGIN_PID"Expected: a pinggy.link URL and HTTP/2 200 on the curl head.
© Luciole-Studio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in misaka/core/skills/assets/optional/devops/pinggy-tunnel of Luciole-Studio/Misaka-Agent.
Open the folder on GitHubat commit 3bcf7a3
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Luciole-Studio/Misaka-Agent, which our catalogue first saw on October 7, 2026.
Pinggy Tunnel 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 |
|---|---|---|---|---|---|---|
| Pinggy Tunnel this skillLuciole-Studio/Misaka-Agent | 171 | 2 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Configuring Horizoncoollabsio/coolify | 63k | 4 repos | ~898 | Automated safety check: Pass | MIT | |
| Nestjs Best Practicesrolling-scopes/rsschool-app | 10k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Sub2API AdminWei-Shaw/sub2api | 44k | 1 repos | ~717 | Automated safety check: Pass | LGPL-3.0 | |
| Firecrawl Build Onboardingfirecrawl/firecrawl | 190k | 1 repos | ~1.4k | Automated safety check: Notes | ISC | |
| Obsidian BasesAtmosphere/atmosphere | 3.8k | 22 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 |
coollabsio/coolify
A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.
rolling-scopes/rsschool-app
NestJS best practices and architecture patterns for building production-ready applications.
Wei-Shaw/sub2api
Manages a Sub2API deployment from the command line: accounts, redeem and invitation codes, groups, proxies, imports, exports and raw admin API calls.
firecrawl/firecrawl
Gets Firecrawl working in a project: signs you in through the browser, saves FIRECRAWL_API_KEY to .env and picks the first SDK or REST path.
Atmosphere/atmosphere
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries.
coollabsio/coolify
ACTIVATE when the user works on authentication in Laravel. An agent skill from coollabsio/coolify.
Luciole-Studio/Misaka-Agent
Plan and run multi-agent video production pipelines. An agent skill from Luciole-Studio/Misaka-Agent.
Luciole-Studio/Misaka-Agent
AST-aware structural code search and rewrite via ast-grep. An agent skill from Luciole-Studio/Misaka-Agent.
Luciole-Studio/Misaka-Agent
Drug discovery: ChEMBL search, drug-likeness, interactions. An agent skill from Luciole-Studio/Misaka-Agent.
Luciole-Studio/Misaka-Agent
Workout planning, macros, and body metrics via wger/USDA. An agent skill from Luciole-Studio/Misaka-Agent.
Luciole-Studio/Misaka-Agent
Render MP4/WebM videos from HTML compositions. An agent skill from Luciole-Studio/Misaka-Agent.
Luciole-Studio/Misaka-Agent
Follow the money via public records and sanctions data. An agent skill from Luciole-Studio/Misaka-Agent.
Categories
Zero-install localhost tunnels over SSH via Pinggy. An agent skill from Luciole-Studio/Misaka-Agent. Pinggy Tunnel is an agent skill from Luciole-Studio/Misaka-Agent. Zero-install localhost tunnels over SSH via Pinggy.
Pinggy Tunnel fits situations like: backend & APIs work in your project.
Run `npx skills add Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a claude-code`. Or copy the skill folder (misaka/core/skills/assets/optional/devops/pinggy-tunnel in Luciole-Studio/Misaka-Agent) into .claude/skills/pinggy-tunnel in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a codex`. Or copy the skill folder (misaka/core/skills/assets/optional/devops/pinggy-tunnel in Luciole-Studio/Misaka-Agent) into .agents/skills/pinggy-tunnel 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 Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pinggy-tunnel, .gemini/skills/pinggy-tunnel, .github/skills/pinggy-tunnel and .opencode/skills/pinggy-tunnel in your project.
Going by SKILL.md and its folder, Pinggy Tunnel needs the command-line tools its instructions call (ssh, curl, python and openssl) and credentials named PINGGY_TOKEN. Our summary lists: Python 3; A credential in PINGGY_TOKEN.
SKILL.md names 1 domain. In commands or code: yqycl-98-162-69-48.a.free.pinggy.link; the agent is likely to contact it when it follows the instructions. 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.
Pinggy Tunnel is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pinggy Tunnel: Configuring Horizon (coollabsio/coolify, 63k stars), Nestjs Best Practices (rolling-scopes/rsschool-app, 10k stars), Sub2API Admin (Wei-Shaw/sub2api, 44k stars) and Firecrawl Build Onboarding (firecrawl/firecrawl, 190k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Luciole-Studio (a GitHub organization) maintains it in Luciole-Studio/Misaka-Agent, which has 171 GitHub stars. The repository holds 77 skills in this directory. The repository was last updated on October 8, 2026.
Source: Luciole-Studio/Misaka-Agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.