OR Key
drop another .md file to compare - side-by-side diff against youtube

youtube

Connects your assistant to your YouTube channel.
description: "Triggers on prompt mention of 'youtube'."
personal 2 files 10 recent evals

What it does for you

Connects your assistant to your YouTube channel.

What it produces

A recent result, so you can see the kind of work it returns.

loading…

How to get it

These run inside the Snappy workspace. Want this working in your business? I set skills like this up with you, in one focused week.

Work with me
For developers how this skill is built, graded, and how it runs

at a glance- the short version

actorExported functions in state/lib/youtube.ts.
auditorNone wired yet - eval is manual (Robert review).
eval modeshape
categoryIntegrations
stages1
dependssettings

what's inside - the parts that make up a skill 3/4 present

A skill is just a few plain-text files. Only the main one is required. The rest are optional, added as the work needs them. This is what the skill is made of; how it runs is just below.

The skill
state/skills/youtube/SKILL.md present
the skill itself, in plain text
The main file. It says what the skill is and lays out the steps in plain English.
Code
state/lib/youtube.ts present
code the skill can run
Reusable code this skill can call when it needs to.
Scripts
state/bin/youtube/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/youtube/AGENTS.md present
what the AI loads on the fly
Loaded automatically the moment this skill is needed. Kept short on purpose.

how it's graded - what counts as a good run 5 criteria · 3 deterministic · 2 judge

Each row is one thing a good run has to get right. deterministic means a quick check decides, pass or fail. judge means the AI reads the result and rates it. Grading each piece on its own (instead of one overall score) shows exactly where a run fell short, so the fix is obvious.

name
kind
check
youtube_api_calls_logged
deterministic
Verify all calls to the YouTube Data API v3 are logged in 'state/log/pending-eval.ndjson' with appropriate input parameters.
required_inputs_present
deterministic
Check that the 'getComments_input', 'replyToComment_input', and 'uploadVideo_input' fields are present and not null when the corresponding function is invoked.
youtube_function_completeness
judge
Assess if the executed YouTube function (e.g., getComments, uploadVideo) produced the expected and complete output as defined by the YouTube Data API v3 specifications.
no_unhandled_exceptions
deterministic
Ensure the execution completes without any unhandled exceptions or errors logged in the system, indicating stable operation.
correct_api_endpoint_used
judge
Confirm that the skill utilized the correct YouTube Data API v3 endpoints for the requested operation, adhering to the API documentation.

how it runs - the shared frame every skill uses 5/5 present

Every skill runs the same way. One part does the work, a separate part checks it, and a short loader hands the AI exactly what it needs for the job. Anything this skill doesn't use shows a one-line note saying why, on purpose, not by accident.

makes the work The worker
present
Exported functions in state/lib/youtube.ts. the worker
Does the actual work. Whatever it produces is what gets checked next.
checks the work The reviewer
present
None wired yet - eval is manual (Robert review). the checker
A separate checker grades the work, so the part that made it can't approve its own work.
frame
learns Self-correction
present
fixes itself learns from gaps
When a run hits a gap, the skill gets edited on the spot [FIXED] or queued for a bigger rewrite [LOGGED], so it keeps getting better.
tidies up Background fixes
present
queued for rewrite runs in the background
Bigger fixes that can't be made on the spot get queued and rewritten in the background later.
remembers Run history
present
state/log/pending-eval.ndjson pending runs
Every run is written down here, then reviewed by hand each week.
Critical rules the things this skill must not get wrong
  1. ALWAYS run voice.checkTone() over comment replies BEFORE posting — em-dashes / hype / engagement-bait HARD-BLOCK on a public channel
  2. Default to apply: false on replyToComment() and uploadVideo() — preview first, require explicit apply to publish
  3. Round-trip verify after replyToComment() — fetch the comment thread separately and confirm the reply is visible (actor ≠ auditor)
  4. NEVER include author-scoreboard numbers in video descriptions or comments (memory: numbers_decoy_rule)
  5. NEVER frame uploads with scarcity hooks (memory: no_scarcity_offers)
  6. Eval is manual (Robert review) — every run files to state/log/pending-eval.ndjson

what it has learned - fixes written back in over time sample

When a run hits something this skill didn't handle, the fix gets written back into the skill so it doesn't happen again. FIXED means it was corrected on the spot. LOGGED means it's queued for a bigger rewrite. Either way, the skill gets a little better and never makes the same mistake twice.

  1. Loading feedback rows…

how the work flows- who makes it, who checks it

inputs settings
actor Exported functions in state/lib/youtube.ts.
auditor None wired yet - eval is manual (Robert review).
1 data
eval log
`state/log/pending-eval.ndjson` (manual)

SKILL.md- the skill, written out in plain English

youtube

YouTube operations via direct YouTube Data API v3.

Ported from kernel snappy-youtube in Phase 0.5. See state/lib/youtube.ts for the full API surface.

Steps

  • getComments() - see state/lib/youtube.ts
  • replyToComment() - see state/lib/youtube.ts
  • uploadVideo() - see state/lib/youtube.ts
  • getVideo() - see state/lib/youtube.ts
  • searchVideos() - see state/lib/youtube.ts

Eval

Actor: the exported functions in state/lib/youtube.ts. Auditor: none wired yet - eval is manual (Robert review). File a state/log/pending-eval.ndjson row on each run.

Score convention:

OutcomeScore
Pass on first try1.0
Failed first, auto-fix applied, re-check passed0.5
Still failing or unrecoverable0.0

Gotchas

via the Phase 0.5 driver. Only these rewrites were applied: already in state/lib/)

  1. realpathSync(process.argv[1]) CLI guard wrapped in try/catch
  • See the kernel SKILL.md for the original long-form guidance if you need it

(read-only reference at the kernel path above).

Graduation

This skill is prose. Graduate by defining a deterministic auditor and flipping eval: auto.

Rubric

criteria:
  - name: youtube_api_calls_logged
    kind: deterministic
    check: "Verify all calls to the YouTube Data API v3 are logged in 'state/log/pending-eval.ndjson' with appropriate input parameters."
  - name: required_inputs_present
    kind: deterministic
    check: "Check that the 'getComments_input', 'replyToComment_input', and 'uploadVideo_input' fields are present and not null when the corresponding function is invoked."
  - name: youtube_function_completeness
    kind: judge
    check: "Assess if the executed YouTube function (e.g., getComments, uploadVideo) produced the expected and complete output as defined by the YouTube Data API v3 specifications."
  - name: no_unhandled_exceptions
    kind: deterministic
    check: "Ensure the execution completes without any unhandled exceptions or errors logged in the system, indicating stable operation."
  - name: correct_api_endpoint_used
    kind: judge
    check: "Confirm that the skill utilized the correct YouTube Data API v3 endpoints for the requested operation, adhering to the API documentation."

AGENTS.md- what the AI loads when this skill comes up

youtube - loader

Per-turn rules for the youtube skill. Full reference: state/skills/youtube/SKILL.md. Do not skip these.

Critical Rules

  • ALWAYS run voice.checkTone() over comment replies BEFORE posting - em-dashes / hype / engagement-bait HARD-BLOCK on a public channel
  • Default to apply: false on replyToComment() and uploadVideo() - preview first, require explicit apply to publish
  • Round-trip verify after replyToComment() - fetch the comment thread separately and confirm the reply is visible (actor ≠ auditor)
  • NEVER include author-scoreboard numbers in video descriptions or comments (memory: numbers_decoy_rule)
  • NEVER frame uploads with scarcity hooks (memory: no_scarcity_offers)
  • Eval is manual (Robert review) - every run files to state/log/pending-eval.ndjson

Commands

| ui dashboard | state/skills/youtube/resources/ui.openui | |library: state/lib/youtube.ts - getComments(), replyToComment(), uploadVideo(), getVideo(), searchVideos() |voice gate: state/lib/voice.ts - checkTone() |eval log: state/log/pending-eval.ndjson (manual)

OpenUI Resource

  • Skill-owned OpenUI Lang resource: state/skills/youtube/resources/ui.openui. Read it before rendering or editing this skill's generated component surface.
  • Treat this resource as a first-class artifact of the skill, not a generic chat response. Improve it when the skill's user-facing output needs to become richer.
  • System resources compose OpenUI primitives and inherit SnappyChat tokens. Use ui_contract: branded in SKILL.md only for deliberate platform or client visuals.

Known Pitfalls

  • Trusting the YouTube write API response as proof a comment posted; the round-trip fetch is the real auditor
  • Engagement-bait closers ("Drop a like!", "Subscribe!") feel native to YouTube but still trip the voice gate

Self-Test

An agent reading this should correctly:

  1. [ ] Voice-gate every comment reply before publishing?
  2. [ ] Default to scope-only and require explicit apply for any public-facing write?
  3. [ ] Round-trip verify the post via an independent fetch?

Self-report

If this loader fell short, append a line:

echo "[$(date -u +%FT%TZ)] youtube: <what was missing>" >> state/log/loader-feedback.log

<!-- kernel-ok: historical attribution for the PID-loader pattern. -->

Self-correcting loader (PID feedback)

This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.

Before you finish, do two things:

1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.

  • Default action: edit this file. Surgical. Add the missing line, table

row, or code example where it belongs. No restructuring.

  • Only LOGGED is allowed when: the fix needs >10 lines, spans multiple

files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.

  • "I didn't have time" / "it's minor" / "the next agent will figure it out"

are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.

  • Concrete example of a valid P-fix: discover agent-browser screenshot

takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.

  • The goal: the next agent never has to leave the loader.

2. Log the result.

echo "[$(date -u +%FT%TZ)] youtube: <what was missing or fixed> [FIXED|LOGGED]" >> state/log/loader-feedback.log
  • FIXED = you patched this loader inline (P-fix).
  • LOGGED = too large for inline; the PostToolUse enqueue + Stop-hook drain

will rewrite the loader from scratch on next session-end.

Do not skip this. Every agent run must leave the system better than it found it. The loader is the setpoint; you are the sensor; the gap is the error signal; closing the gap is the correction.

api.ts- the code it can call

#!/usr/bin/env npx tsx
/**
 * snappy-youtube/api.ts -- YouTube operations via direct YouTube Data API v3.
 *
 * Read operations (comments, video info, search) use API key auth (GEMINI_API_KEY).
 * Write operations (reply, upload) require YOUTUBE_ACCESS_TOKEN (OAuth2).
 *
 * Obtain YOUTUBE_ACCESS_TOKEN via OAuth2 flow using YOUTUBE_CLIENT_ID +
 * YOUTUBE_CLIENT_SECRET. Analytics requires agent-browser (no API).
 *
 * Usage:
 *   npx tsx api.ts comments <videoId>              # pull comments
 *   npx tsx api.ts reply <commentId> "response"    # reply to a comment
 *   npx tsx api.ts upload <filePath> <title> <description>  # upload video
 *   npx tsx api.ts video <videoId>                 # get video details
 *   npx tsx api.ts search <query>                  # search channel videos
 *
 * Or import as module:
 *   import { getComments, replyToComment, uploadVideo } from "./youtube.ts";
 */

import { env } from "./env.ts";
import { existsSync, readFileSync, realpathSync, writeFileSync } from "fs";

const YT_API = "https://www.googleapis.com/youtube/v3";
const YT_UPLOAD_API = "https://www.googleapis.com/upload/youtube/v3/videos";
const TOKEN_CACHE = `${process.env.HOME}/.claude/skills/snappy-settings/.youtube-token-cache.json`;

interface TokenCache {
  access_token: string;
  refresh_token: string;
  expires_at: number;
}

function loadTokenCache(): TokenCache | null {
  if (!existsSync(TOKEN_CACHE)) return null;
  try { return JSON.parse(readFileSync(TOKEN_CACHE, "utf8")); } catch { return null; }
}

function saveTokenCache(data: TokenCache) {
  writeFileSync(TOKEN_CACHE, JSON.stringify(data, null, 2), { mode: 0o600 });
}

let _accessToken: string | null = null;
let _tokenExpiry = 0;

async function refreshOAuthToken(): Promise<string> {
  if (_accessToken && Date.now() / 1000 < _tokenExpiry - 60) return _accessToken;

  const cached = loadTokenCache();
  if (cached && Date.now() / 1000 < cached.expires_at - 60) {
    _accessToken = cached.access_token;
    _tokenExpiry = cached.expires_at;
    return _accessToken;
  }

  const refreshToken = cached?.refresh_token || env("YOUTUBE_REFRESH_TOKEN", false);
  if (refreshToken) {
    const res = await fetch("https://oauth2.googleapis.com/token", {
      method: "POST",
      headers: { "Content-Type": "application/x-www-form-urlencoded" },
      body: new URLSearchParams({
        grant_type: "refresh_token",
        refresh_token: refreshToken,
        client_id: env("YOUTUBE_CLIENT_ID"),
        client_secret: env("YOUTUBE_CLIENT_SECRET"),
      }).toString(),
    });
    const data = await res.json() as any;
    if (res.ok && data.access_token) {
      _accessToken = data.access_token;
      _tokenExpiry = Math.floor(Date.now() / 1000) + (data.expires_in || 3600);
      saveTokenCache({
        access_token: data.access_token,
        refresh_token: data.refresh_token || refreshToken,
        expires_at: _tokenExpiry,
      });
      return _accessToken!;
    }
  }

  const staticToken = env("YOUTUBE_ACCESS_TOKEN", false);
  if (staticToken) {
    _accessToken = staticToken;
    _tokenExpiry = Math.floor(Date.now() / 1000) + 3600;
    return _accessToken;
  }

  throw new Error("No YouTube auth. Run: npx tsx api.ts auth");
}

/** API key for read-only operations. */
function apiKey(): string {
  return env("YOUTUBE_API_KEY", false) || env("GEMINI_API_KEY");
}

/** OAuth access token for write operations. */
async function oauthToken(): Promise<string> {
  return refreshOAuthToken();
}

/** GET request with API key auth (read-only). */
async function ytGet(path: string, params: Record<string, string> = {}) {
  const url = new URL(`${YT_API}${path}`);
  url.searchParams.set("key", apiKey());
  for (const [k, v] of Object.entries(params)) {
    url.searchParams.set(k, v);
  }

  const res = await fetch(url.toString());
  if (!res.ok) {
    const text = await res.text().catch(() => "");
    throw new Error(`YouTube GET ${path} failed (${res.status}): ${text}`);
  }
  return res.json();
}

/** POST request with OAuth token (write operations). */
async function ytPost(path: string, body: Record<string, unknown>) {
  const token = await oauthToken();
  const res = await fetch(`${YT_API}${path}`, {
    method: "POST",
    headers: {
      Authorization: `Bearer ${token}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify(body),
  });
  if (!res.ok) {
    const text = await res.text().catch(() => "");
    throw new Error(`YouTube POST ${path} failed (${res.status}): ${text}`);
  }
  return res.json();
}

// --- Public API ---

/**
 * Pull comment threads for a video.
 * Read-only -- uses API key auth.
 */
export async function getComments(videoId: string, maxResults = 50) {
  return ytGet("/commentThreads", {
    part: "snippet,replies",
    videoId,
    maxResults: String(maxResults),
    order: "time",
  });
}

/**
 * Reply to a YouTube comment.
 * Write operation -- requires YOUTUBE_ACCESS_TOKEN.
 */
export async function replyToComment(commentId: string, text: string) {
  return ytPost("/comments?part=snippet", {
    snippet: {
      parentId: commentId,
      textOriginal: text,
    },
  });
}

/**
 * Upload a video to YouTube.
 * Write operation -- requires YOUTUBE_ACCESS_TOKEN.
 *
 * Uses resumable upload protocol. Reads the file from disk.
 */
export async function uploadVideo(
  filePath: string,
  title: string,
  description: string,
  tags?: string[]
) {
  const token = await oauthToken();

  // Step 1: Initiate resumable upload
  const metadata = {
    snippet: {
      title,
      description,
      tags: tags || [],
      categoryId: "28", // Science & Technology
    },
    status: {
      privacyStatus: "private", // Always upload as private first
      selfDeclaredMadeForKids: false,
    },
  };

  const initRes = await fetch(
    `${YT_UPLOAD_API}?uploadType=resumable&part=snippet,status`,
    {
      method: "POST",
      headers: {
        Authorization: `Bearer ${token}`,
        "Content-Type": "application/json; charset=UTF-8",
        "X-Upload-Content-Type": "video/*",
      },
      body: JSON.stringify(metadata),
    }
  );

  if (!initRes.ok) {
    const text = await initRes.text().catch(() => "");
    throw new Error(`YouTube upload init failed (${initRes.status}): ${text}`);
  }

  const uploadUrl = initRes.headers.get("location");
  if (!uploadUrl) {
    throw new Error("YouTube upload init did not return a Location header");
  }

  // Step 2: Upload the file
  const fileData = readFileSync(filePath);
  const uploadRes = await fetch(uploadUrl, {
    method: "PUT",
    headers: {
      Authorization: `Bearer ${token}`,
      "Content-Type": "video/*",
      "Content-Length": String(fileData.byteLength),
    },
    body: fileData,
  });

  if (!uploadRes.ok) {
    const text = await uploadRes.text().catch(() => "");
    throw new Error(`YouTube upload failed (${uploadRes.status}): ${text}`);
  }

  return uploadRes.json();
}

/**
 * Get video details (snippet, statistics).
 * Read-only -- uses API key auth.
 */
export async function getVideo(videoId: string) {
  return ytGet("/videos", {
    part: "snippet,statistics,contentDetails",
    id: videoId,
  });
}

/**
 * Search videos on a channel.
 * Read-only -- uses API key auth.
 *
 * @param query - Search query
 * @param channelId - Channel to search (defaults to Snappy channel)
 */
export async function searchVideos(query: string, channelId?: string, maxResults = 10) {
  const params: Record<string, string> = {
    part: "snippet",
    q: query,
    type: "video",
    maxResults: String(maxResults),
    order: "date",
  };
  if (channelId) params.channelId = channelId;
  return ytGet("/search", params);
}

// --- CLI ---

if ((() => { try { return import.meta.url === `file://${realpathSync(process.argv[1])}`; } catch { return false; } })()) {
  (async () => {
    const [, , cmd, ...args] = process.argv;

    switch (cmd) {
      case "comments": {
        const [videoId] = args;
        if (!videoId) { console.error("Usage: api.ts comments <videoId>"); process.exit(1); }
        const data = await getComments(videoId);
        console.log(JSON.stringify(data, null, 2));
        break;
      }
      case "reply": {
        const [commentId, ...textParts] = args;
        if (!commentId || !textParts.length) {
          console.error("Usage: api.ts reply <commentId> <text>"); process.exit(1);
        }
        const data = await replyToComment(commentId, textParts.join(" "));
        console.log(JSON.stringify(data, null, 2));
        break;
      }
      case "upload": {
        const [filePath, title, ...descParts] = args;
        if (!filePath || !title) {
          console.error("Usage: api.ts upload <filePath> <title> <description>"); process.exit(1);
        }
        const data = await uploadVideo(filePath, title, descParts.join(" "));
        console.log(JSON.stringify(data, null, 2));
        break;
      }
      case "video": {
        const [videoId] = args;
        if (!videoId) { console.error("Usage: api.ts video <videoId>"); process.exit(1); }
        const data = await getVideo(videoId);
        console.log(JSON.stringify(data, null, 2));
        break;
      }
      case "search": {
        const query = args.join(" ");
        if (!query) { console.error("Usage: api.ts search <query>"); process.exit(1); }
        const data = await searchVideos(query);
        console.log(JSON.stringify(data, null, 2));
        break;
      }
      case "auth": {
        const { createServer } = await import("http");
        const clientId = env("YOUTUBE_CLIENT_ID");
        const redirectUri = "http://localhost:3142/callback";
        const scopes = "https://www.googleapis.com/auth/youtube https://www.googleapis.com/auth/youtube.force-ssl https://www.googleapis.com/auth/yt-analytics.readonly";
        const state = Math.random().toString(36).slice(2);

        const authUrl =
          `https://accounts.google.com/o/oauth2/v2/auth?` +
          `response_type=code&client_id=${clientId}&redirect_uri=${encodeURIComponent(redirectUri)}` +
          `&state=${state}&scope=${encodeURIComponent(scopes)}&access_type=offline&prompt=consent`;

        console.log("\n=== YouTube OAuth Setup ===");
        console.log("1. Open this URL in your browser:\n");
        console.log(authUrl);
        console.log("\n2. Log in and authorize the app.");
        console.log("3. You'll be redirected back here automatically.\n");
        console.log("Waiting for callback...");

        const { exec } = await import("child_process");
        exec(`open "${authUrl}"`);

        await new Promise<void>((resolve, reject) => {
          const server = createServer(async (req, res) => {
            if (!req.url?.startsWith("/callback")) { res.end(); return; }
            const url = new URL(req.url, `http://localhost:3142`);
            const code = url.searchParams.get("code");
            if (!code) {
              res.writeHead(400); res.end("No code received");
              reject(new Error("No code")); return;
            }
            try {
              const tokenRes = await fetch("https://oauth2.googleapis.com/token", {
                method: "POST",
                headers: { "Content-Type": "application/x-www-form-urlencoded" },
                body: new URLSearchParams({
                  grant_type: "authorization_code",
                  code,
                  redirect_uri: redirectUri,
                  client_id: env("YOUTUBE_CLIENT_ID"),
                  client_secret: env("YOUTUBE_CLIENT_SECRET"),
                }).toString(),
              });
              const tokenData = await tokenRes.json() as any;
              if (!tokenRes.ok) throw new Error(JSON.stringify(tokenData));

              const expiresAt = Math.floor(Date.now() / 1000) + (tokenData.expires_in || 3600);
              saveTokenCache({
                access_token: tokenData.access_token,
                refresh_token: tokenData.refresh_token || "",
                expires_at: expiresAt,
              });

              res.writeHead(200, { "Content-Type": "text/html" });
              res.end("<h1>YouTube auth complete! You can close this tab.</h1>");
              console.log("\nTokens saved! Refresh token:", tokenData.refresh_token ? "YES" : "NO");
              console.log("Token cache:", TOKEN_CACHE);
              server.close();
              resolve();
            } catch (err) {
              res.writeHead(500); res.end("Token exchange failed");
              reject(err);
            }
          });
          server.listen(3142);
        });
        break;
      }
      case "token-status": {
        const cached = loadTokenCache();
        if (!cached) { console.log("No token cache. Run: npx tsx api.ts auth"); break; }
        const now = Date.now() / 1000;
        const remaining = cached.expires_at - now;
        console.log(`Access token: ${cached.access_token.slice(0, 10)}...`);
        console.log(`Refresh token: ${cached.refresh_token ? "present" : "none"}`);
        console.log(`Expires: ${new Date(cached.expires_at * 1000).toISOString()}`);
        console.log(`Remaining: ${remaining > 0 ? Math.floor(remaining / 3600) + " hours" : "EXPIRED"}`);
        console.log(`Status: ${remaining > 0 ? "VALID" : "EXPIRED -- will auto-refresh if refresh token exists"}`);
        break;
      }
      default:
        console.log("Usage: npx tsx api.ts [comments|reply|upload|video|search|auth|token-status] ...");
        console.log("\nRead ops (comments, video, search) use API key -- no OAuth needed.");
        console.log("Write ops (reply, upload) use OAuth -- auto-refreshes from token cache.");
        console.log("First time: run 'auth' to bootstrap OAuth tokens.");
    }
  })();
}

scripts- helper scripts it can run

prose-only skill - 1 inline code block live in SKILL.md above (no state/bin/ sidecar yet).

how we check it- the checks, plus the last 10 runs

rubric shape schema-shape check (no inline rubric)
recent mean 1.00 · 10 runs actor/auditor: unverifiable
deps settings
timestamp verb score primary_issue artifact
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:58Z - 1.00 - -
2026-04-21 15:57Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:58Z - 1.00 - -
2026-04-21 15:57Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:58Z - 1.00 - -