Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vikiboss/60s-skills --skill media-infogit clone --depth 1 https://github.com/vikiboss/60s-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vikiboss/60s-skills/media-info)<a href="https://agentmods.dev/skills/vikiboss/60s-skills/media-info"><img src="https://agentmods.dev/badge/skills/vikiboss/60s-skills/media-info/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vikiboss/60s-skills/media-info"><img src="https://agentmods.dev/badge/skills/vikiboss/60s-skills/media-info.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.01933 |
| Opus 5.5 | $0.00021 | $0.00773 |
| Sonnet 5.5 | $0.00010 | $0.00387 |
| Haiku 4.5 | $0.00005 | $0.00193 |
Grade B, and why
media-info scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
response = requests.post('https://60s.viki.moe/v2/lyric', json=data) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get('https://60s.viki.moe/v2/ncm-rank/list') How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Information Skill
Get music and movie information including charts, lyrics, box office, and ratings.
Available Information
- Netease Music Ranks - Music chart lists
- Music Rank Details - Detailed song lists
- Lyrics Search - Find song lyrics
- Movie Information - All movies database
- Movie Box Office - Real-time box office rankings
- TV Ratings - TV drama ratings
- Web Series Rankings - Online series popularity
API Endpoints
| Type | Endpoint | Method |
|---|---|---|
| Music Ranks | /v2/ncm-rank/list |
GET |
| Rank Detail | /v2/ncm-rank/{id} |
GET |
| Lyrics | /v2/lyric |
POST |
| All Movies | /v2/maoyan/all/movie |
GET |
| Box Office | /v2/maoyan/realtime/movie |
GET |
| TV Ratings | /v2/maoyan/realtime/tv |
GET |
| Web Series | /v2/maoyan/realtime/web |
GET |
Quick Examples
Netease Music Charts
import requests
# Get all music rank lists
response = requests.get('https://60s.viki.moe/v2/ncm-rank/list')
ranks = response.json()
print("🎵 网易云音乐榜单")
for rank in ranks['data']:
print(f"· {rank['name']} (ID: {rank['id']})")
# Get specific rank details
rank_id = '3778678' # 飙升榜
response = requests.get(f'https://60s.viki.moe/v2/ncm-rank/{rank_id}')
songs = response.json()
print(f"\n🎵 {songs['name']}")
for i, song in enumerate(songs['songs'][:10], 1):
print(f"{i}. {song['name']} - {song['artist']}")
Lyrics Search
# Search for lyrics
data = {'keyword': '稻香 周杰伦'}
response = requests.post('https://60s.viki.moe/v2/lyric', json=data)
result = response.json()
print(f"🎤 {result['song']} - {result['artist']}")
print(f"\n{result['lyrics']}")
Movie Box Office
# Get real-time box office
response = requests.get('https://60s.viki.moe/v2/maoyan/realtime/movie')
movies = response.json()
print("🎬 实时电影票房")
for movie in movies['data'][:5]:
print(f"{movie['rank']}. {movie['name']}")
print(f" 票房:{movie['box_office']}")
print(f" 上座率:{movie['attendance_rate']}")
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 244 lines · 52 tokens per session scan B 0eb10d8dce4b
media-info is a skill published in the GitHub repository vikiboss/60s-skills (48 stars, last pushed 8mo ago), licensed MIT. It adds 52 tokens to every session and 1,933 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
media-info compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| media-infovikiboss/60s-skills | Skill | 48 | 8mo ago | MIT | B | 52 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |