import httpx

resp = httpx.get("https://api.decimal.ai/api/v1/registry/skills/sk_pub123")
resp.raise_for_status()
skill = resp.json()
print(skill["name"], (skill.get("effectiveness") or {}).get("skill_score"))

decimalai registry get sk_pub123

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.decimal.ai/api/v1/registry/skills/{skill_id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.decimal.ai/api/v1/registry/skills/{skill_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.decimal.ai/api/v1/registry/skills/{skill_id}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.decimal.ai/api/v1/registry/skills/{skill_id}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.decimal.ai/api/v1/registry/skills/{skill_id}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "id": "sk_pub123",
  "name": "semantic-search",
  "description": "Semantic search over knowledge bases",
  "category": "retrieval",
  "stability": "stable",
  "visibility": "public",
  "body_markdown": "## When to use\n\nUse this skill when the user is asking knowledge-base questions.",
  "attachments": [
    {
      "name": "scripts/index.py",
      "size": 4210,
      "type": "script"
    },
    {
      "name": "references/embedding-models.md",
      "size": 1820,
      "type": "reference"
    }
  ],
  "effectiveness": {
    "skill_score": 0.85,
    "avg_pass_rate": 0.92,
    "total_activations_30d": 1240
  },
  "install_count": 230,
  "avg_rating": 4.5,
  "review_count": 18,
  "publisher": "decimal-labs",
  "created_at": "2026-02-10T14:00:00Z",
  "updated_at": "2026-05-01T09:15:00Z"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}