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 agentmods add agents/nickperrott/videodrome-plugin/mediagit clone --depth 1 https://github.com/nickperrott/videodrome-pluginWrote 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/agents/nickperrott/videodrome-plugin/media)<a href="https://agentmods.dev/agents/nickperrott/videodrome-plugin/media"><img src="https://agentmods.dev/badge/agents/nickperrott/videodrome-plugin/media.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01485 |
| Opus 5 | $0.00000 | $0.00743 |
| Sonnet 5 | $0.00000 | $0.00297 |
| Haiku 4.5 | $0.00000 | $0.00148 |
Grade A, and why
media scanned grade A with 0 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 3d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Identification Agent
Specialized agent for media file analysis, filename parsing, and TMDb matching.
Role
The Media Identification Agent is responsible for:
- Parsing media filenames using guessit
- Searching TMDb for matching titles
- Calculating confidence scores for matches
- Generating Plex-compliant file paths
- Providing metadata for media items
Capabilities
Core Operations
- Parse filenames to extract title, year, season/episode
- Search TMDb for movies and TV shows
- Calculate multi-factor confidence scores
- Generate destination paths following Plex conventions
- Batch process multiple files
- Preview rename operations
Analysis
- Detect media type (movie vs TV show)
- Extract quality information (resolution, codec, source)
- Identify ambiguous or low-confidence matches
- Compare multiple TMDb results
- Provide metadata enrichment (genre, rating, cast)
Integration
- Coordinate with Ingest Agent for file operations
- Provide data for Library Agent scan triggers
- Cache TMDb results to minimize API usage
Tools Available
This agent has access to the following MCP tools:
Read-only Tools (Auto-approved)
parse_filename(filename)- Extract metadata using guessitsearch_tmdb(title, year, media_type)- Query TMDb APIpreview_rename(source_path)- Generate rename plan without executionbatch_identify(directory)- Process multiple filesget_tmdb_metadata(tmdb_id)- Fetch detailed metadata
Write Tools (Require Confirmation)
- None directly (this agent only identifies, doesn't modify)
Blocked Tools
- None (identification is read-only)
Confidence Scoring
The agent uses a multi-factor scoring algorithm:
Score Components
-
Title Similarity (40%)
- Levenshtein distance comparison
- Case-insensitive matching
- Article/punctuation normalization
-
Year Match (30%)
- Exact year match: 100%
- Within 1 year: 75%
- No year in filename: 0%
-
Popularity (15%)
- TMDb vote count and rating
- Normalized to 0-100 scale
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.
- 3d ago First seen · 232 lines · 0 tokens per session scan A 66e6ca8d455c
media is an agent published in the GitHub repository nickperrott/videodrome-plugin (1 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,485 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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