endpoint-probe SKILL.md skillA

endpoint-probe from moonlight-lupin/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add moonlight-lupin/agent-skills/endpoint-probe@v1.2.3

Pins v1.2.3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
moonlight-lupin/agent-skills
Path
research/endpoint-probe/SKILL.md
Versions recorded
1
Latest version
v1.2.3, committed Aug 13, 2026
Size
19,311 bytes
Repository stars
119
License
MIT

Use when you need to discover an API's surface — poke a base URL to find its type (REST, GraphQL, SOAP, JSON-RPC), auth scheme, available endpoints, rate limits, and CORS policy. Also probes MCP servers (HTTP and stdio) to discover tools, resources, and prompts with full input schemas. Runs a Python probe script that checks well-known discovery paths (OpenAPI/Swagger, GraphQL introspection, health, .well-known), fingerprints the server, sends OPTIONS for CORS, detects auth from 401/403…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Endpoint Probe

Probe a base URL to discover its API surface: type, auth, endpoints, rate limits, CORS, and server fingerprint.

## When to Use

- User gives you a base URL and asks "what API is available?" or "what endpoints does this have?"
- You need to understand an undocumented or partially-documented API before building an integration
- User asks "how does this API authenticate?" or "what auth does this endpoint need?"
- You're evaluating a third-party service and need to map its API surface
- User says "discover", "probe", "explore", or "recon" an API endpoint
- User wants to know what tools an MCP server provides before configuring it
- User asks "what does this MCP server offer?" or "what tools does MCP server X have?"

**Don't use for:**
- Scraping HTML page content (use `website-scraping`)
- QA testing of known functionality (use a QA/testing skill)
- Configuring MCP servers (use an MCP configuration skill) — this skill *discovers* MCP server surfaces, it doesn't configure them
- Monitoring an API over time (this is a one-shot discovery tool)

## Workflow

### 1. Run the probe script

```bash
python scripts/probe_api.py <base_url> [options]
```

**Options:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add moonlight-lupin/agent-skills/endpoint-probe@sha256:8bb7742d6b76ba99

The line at the top of this page pins the label v1.2.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_cvicfxybl2or63no.svg)](https://markdownregistry.com/a/art_cvicfxybl2or63no)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 13, 2026.

versioncommittedcommitsizeaudit
v1.2.3 latest2026-08-13 73a0ca7 19,311 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19311 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

moonlight-lupin/agent-skills · 119 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cvicfxybl2or63no
GET https://markdownregistry.com/api/v1/resolve?ref=moonlight-lupin/agent-skills/endpoint-probe
GET https://markdownregistry.com/api/v1/blob/8bb7742d6b76ba9907db9f4ada726e0c40815eb7cbd9129f4adbddd7a4bc7f2d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in moonlight-lupin/agent-skills

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