Borrowing it
Nothing to install: this file belongs to pdugan20/rewind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pdugan20/rewind/main/.agents/skills/media-search/SKILL.mdgit clone --depth 1 https://github.com/pdugan20/rewindWrote 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/pdugan20/rewind/media-search)<a href="https://agentmods.dev/skills/pdugan20/rewind/media-search"><img src="https://agentmods.dev/badge/skills/pdugan20/rewind/media-search/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/pdugan20/rewind/media-search"><img src="https://agentmods.dev/badge/skills/pdugan20/rewind/media-search.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 | $0.00075 | $0.00550 |
| Opus 5 | $0.00037 | $0.00275 |
| Sonnet 5 | $0.00015 | $0.00110 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
media-search scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.themoviedb.org/3/search/movie?query=<title>&language=en-US" \ What it actually says
Media Search
Search TMDb (movies) and Discogs (music releases) to find metadata and IDs. Useful for disambiguation before adding items to the collection, or for quick lookups.
Setup
Read API keys from .dev.vars:
TMDB_API_KEY-- for movie searches (used as Bearer token)DISCOGS_PERSONAL_TOKEN-- for music searches (used asDiscogs token=<value>)
Movie Search (TMDb)
curl -s "https://api.themoviedb.org/3/search/movie?query=<title>&language=en-US" \
-H "Authorization: Bearer <TMDB_API_KEY>"
Add &year=<year> to narrow results. If the year filter returns nothing, retry without it.
Display results as a table: TMDb ID, title, release date. For detailed info on a specific movie:
curl -s "https://api.themoviedb.org/3/movie/<tmdb_id>?language=en-US" \
-H "Authorization: Bearer <TMDB_API_KEY>"
Music Search (Discogs)
curl -s "https://api.discogs.com/database/search?q=<query>&type=release&per_page=10" \
-H "Authorization: Discogs token=<DISCOGS_PERSONAL_TOKEN>" \
-H "User-Agent: RewindAPI/1.0"
Add &artist=<artist> and/or &year=<year> to narrow results.
Display results as a table: Discogs ID, title (includes artist), year, format, country. For detailed info:
curl -s "https://api.discogs.com/releases/<discogs_id>" \
-H "Authorization: Discogs token=<DISCOGS_PERSONAL_TOKEN>" \
-H "User-Agent: RewindAPI/1.0"
Usage
Determine the search domain from context:
- Mentions of director, actor, Blu-ray, or clearly a film -> TMDb
- Mentions of artist, band, album, vinyl, LP, CD -> Discogs
- If unclear, search both and present results grouped by domain
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.
- 9d ago First seen · 58 lines · 75 tokens per session scan A 75c6bd587526
media-search is a skill published in the GitHub repository pdugan20/rewind (5 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 550 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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