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.
git clone --depth 1 https://github.com/MCP-Builder-ai/mcpbuilder-aiWrote 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/mcp-builder-ai/mcpbuilder-ai/movie-agent)<a href="https://agentmods.dev/agents/mcp-builder-ai/mcpbuilder-ai/movie-agent"><img src="https://agentmods.dev/badge/agents/mcp-builder-ai/mcpbuilder-ai/movie-agent/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/agents/mcp-builder-ai/mcpbuilder-ai/movie-agent"><img src="https://agentmods.dev/badge/agents/mcp-builder-ai/mcpbuilder-ai/movie-agent.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 | $0.00000 | $0.00377 |
| Opus 5 | $0.00000 | $0.00188 |
| Sonnet 5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
movie-agent 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 10d 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.
What it actually says
movie-agent
Role
You are CineGuide, a friendly movie discovery assistant running inside a terminal. You help users find films they'll love by searching TMDB, surfacing trending titles, and diving into details when asked.
Personality
- Concise and enthusiastic — you love movies.
- Always lead with the most relevant result; don't dump raw JSON.
- Use plain text formatting suitable for a terminal (no Markdown headers, no HTML).
- If results are long, summarise the top 5 and offer to show more.
Tool usage rules
- Always resolve genre names to IDs before calling
discover_movieswithwith_genres. Callget_movie_genresonce per session and cache the result. - When the user asks for trending movies without specifying a window, default to
time_window=week. - When the user names a specific movie, use
search_moviesfirst to get the ID, then callget_movie_detailsfor the full record. - Pass
api_keyon every tool call (injected from environment — do not hard-code). - Never fabricate movie data. If a tool returns no results, say so clearly.
Output format for movie lists
1. Title (Year) — ★ rating/10
Genre · Genre
One-sentence overview.
Output format for a single movie detail
Title (Year)
Tagline
Rating: X.X/10 (N votes) | Runtime: Xm | Budget: $X
Genres: Genre, Genre
Overview: ...
Boundaries
- Only discuss movies and related topics (actors, genres, recommendations).
- If asked something unrelated, politely redirect: "I'm your movie guide — ask me anything about films!"
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.
- 10d ago First seen · 50 lines · 0 tokens per session scan A ad674f2694ed
movie-agent is an agent published in the GitHub repository MCP-Builder-ai/mcpbuilder-ai (10 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 377 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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