Agent skill

Pinggy Tunnel

by Luciole-Studio in Luciole-Studio/Misaka-Agent

Zero-install localhost tunnels over SSH via Pinggy. An agent skill from Luciole-Studio/Misaka-Agent.

MITAuto-check passedBackend & APIs

Install Pinggy Tunnel

skills CLI
$ npx skills add Luciole-Studio/Misaka-Agent --skill pinggy-tunnel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Luciole-Studio/Misaka-Agent pinggy-tunnel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
pinggy-tunnel
GitHub stars
171
Used in
2 other repos
Token cost
~3.4k tokens
SKILL.md length
1,078 words
Files
1
Skills in repo
77
Repo updated
First seen
Licence
MIT

At a glance

Zero-install localhost tunnels over SSH via Pinggy. An agent skill from Luciole-Studio/Misaka-Agent.

  • Works in 5 steps: Confirm a local origin is up → Launch the tunnel as a background process → Parse the URL out of the log → …
  • Backend & APIs work in your project
  • SKILL.md covers When to Use, Prerequisites, Quick Reference and Procedure — Start a Tunnel and…, plus 5 more sections
  • Calls ssh, curl and python; reaches yqycl-98-162-69-48.a.free.pinggy.link; needs PINGGY_TOKEN

What it does

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.

When your agent uses it

  • Backend & APIs work in your project

Example prompts

  • “/pinggy-tunnel”

Requirements

  • Python 3
  • A credential in PINGGY_TOKEN

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Confirm a local origin is up
  2. Launch the tunnel as a background process
  3. Parse the URL out of the log
  4. Verify
  5. Teardown

What it can do on your machine

Read from SKILL.md and the folder at commit 3bcf7a3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • ssh
    • curl
    • python
    • openssl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • yqycl-98-162-69-48.a.free.pinggy.link

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PINGGY_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~16
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from Luciole-Studio/Misaka-Agent at commit 3bcf7a3, republished under its MIT licence (© Luciole-Studio). 1,078 words, ~3,378 tokens.

Download SKILL.mdSave it as .claude/skills/pinggy-tunnel/SKILL.md (or your agent's skills folder).
name
pinggy-tunnel
description
Zero-install localhost tunnels over SSH via Pinggy.
version
0.1.0
author
Teknium (teknium1), Hermes Agent
license
MIT
platforms
linux, macos, windows

Pinggy Tunnel Skill

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.

When to Use

  • User asks to "expose this locally", "share my dev server", "make this URL public", "tunnel port N", "get a public URL for a webhook"
  • Need to receive a webhook callback during a local task (Stripe, GitHub, Discord, AgentMail)
  • Sharing a one-off HTTP demo (MCP server, Ollama/vLLM endpoint, dashboard) with a remote party
  • The host has SSH but no cloudflared / ngrok binary, and installing one would be overkill

If the host already has cloudflared configured, prefer the cloudflared-quick-tunnel skill — Cloudflare quick tunnels don't expire after 60 minutes.

Prerequisites

  • ssh on PATH (ssh -V). Default on Linux, macOS, and Windows 10+. No other install.
  • A local service listening on 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.

Quick Reference

bash
# 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"

Procedure — Start a Tunnel and Get the URL

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.

1. Confirm a local origin is up
bash
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.

2. Launch the tunnel as a background process

Use terminal(background=True) and capture output to a logfile (Pinggy prints the URLs on stdout, then keeps the connection open):

bash
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.pid

StrictHostKeyChecking=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.

3. Parse the URL out of the log
bash
sleep 4
grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' /tmp/pinggy-8000.log | head -1

Expected 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.link

Hand the https://...pinggy.link URL to the user.

4. Verify
bash
curl -sI https://<the-url>/ | head -3
# expect 200/302/whatever the local origin actually returns

If you get 502 Bad Gateway, the SSH session is up but the local origin isn't listening — fix step 1 first.

5. Teardown
bash
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=...).

Access Control via Username Keywords

Pinggy stacks control flags into the SSH username separated by +. Always quote the whole user@host argument when it contains a +:

KeywordEffect
b:user:passHTTP Basic auth gate
k:tokenBearer-token header gate (Authorization: Bearer <token>)
w:CIDRIP whitelist (single IP or CIDR, repeatable)
coAdd Access-Control-Allow-Origin: * (CORS)
x:httpsForce HTTPS — auto-redirect HTTP to HTTPS
a:Name:ValueAdd request header
u:Name:ValueUpdate request header
r:NameRemove request header
qrPrint a QR code of the URL to stdout (handy for mobile sharing)

Combine freely: "b:admin:secret+co+x:https+free@a.pinggy.io".

Web Debugger (optional)

Pinggy can mirror the inbound traffic to localhost:4300 for inspection. Add a local forward to the SSH command:

bash
ssh -p 443 -L4300:localhost:4300 -R0:localhost:8000 free@a.pinggy.io

Then open http://localhost:4300 in a browser to see live request/response pairs.

Pitfalls

  • 60-minute hard cap on the free tier. The SSH session terminates at the 60-minute mark; the URL goes dead. For longer shares, either use PINGGY_TOKEN (Pro) or auto-restart with a shell loop (note that the URL changes on every restart for free-tier).
  • Free-tier URL is random and changes on restart. Don't bookmark it, don't paste it into a config file. Re-parse from the log each time.
  • Concurrent free tunnels are limited to one per source IP. Starting a second tunnel from the same machine usually kills the first. Pro tier lifts this.
  • + 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.
  • Don't tunnel anything sensitive without an access-control flag. A bare HTTP tunnel is reachable by anyone with the URL. Use 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.
  • Host-key prompt on first run. Default OpenSSH config asks the user to accept Pinggy's host key. Always pass -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null for unattended runs.
  • TCP and TLS tunnels return a <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.
  • Pro mode requires the token as the username, not a flag. Use "$PINGGY_TOKEN+a.pinggy.io" (no free@). With a token you can also add :persistent for a stable subdomain — see pinggy.io/docs/.
Show full SKILL.md (304 more words)Show less

Recipes

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.

Recipe 1 — Receive a webhook callback

Use this when an external service (Stripe, GitHub, Discord, AgentMail, etc.) needs to POST to a publicly reachable URL during a local task.

bash
# 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.log

Hand $URL to the service that needs to call you. Teardown: kill $(cat /tmp/webhook-server.pid) $(cat /tmp/webhook-pinggy.pid).

Recipe 2 — Expose an MCP server over HTTP/SSE

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.

bash
# 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>"}}.

Recipe 3 — Expose a local LLM endpoint (Ollama / vLLM / llama.cpp)

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.

bash
# 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" | head

co 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.

Recipe 4 — Share a dev server with a one-shot password

The fastest "let a teammate poke at my running app" pattern. Random password, prints once, dies when you Ctrl-C.

bash
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.

Verification

bash
# 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

Files

Just SKILL.md in misaka/core/skills/assets/optional/devops/pinggy-tunnel of Luciole-Studio/Misaka-Agent.

Open the folder on GitHubat commit 3bcf7a3

Used in 2 other repositories

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.

Compare with similar skills

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.

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Firecrawl Build Onboardingfirecrawl/firecrawl190k1 repos~1.4kAutomated safety check: NotesISC
Obsidian BasesAtmosphere/atmosphere3.8k22 repos~3.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Pinggy Tunnel

What does Pinggy Tunnel do?

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.

When should I use Pinggy Tunnel?

Pinggy Tunnel fits situations like: backend & APIs work in your project.

How do I install Pinggy Tunnel in Claude Code?

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.

How do I install Pinggy Tunnel in Codex?

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.

Can I use Pinggy Tunnel in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Pinggy Tunnel need to run?

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.

Does Pinggy Tunnel access the network?

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.

Is Pinggy Tunnel safe to install?

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.

What licence does Pinggy Tunnel use?

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.

How many tokens does Pinggy Tunnel use?

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.

What are the alternatives to Pinggy Tunnel?

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.

Who maintains Pinggy Tunnel?

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.