Qwen-MM-Plugins is a collection of plugins that gives agent harnesses native multimodal abilities, including reading images, video, documents, code, and data. It is used to add these capabilities to coding agents across several supported harnesses, either through local models or multimodal APIs. The catalogue entries are its independently installable skills, MCP servers, and setup instructions.
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/QwenLM/Qwen-MM-PluginsWrote 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/qwenlm/qwen-mm-plugins/movie-commentary-executor)<a href="https://agentmods.dev/agents/qwenlm/qwen-mm-plugins/movie-commentary-executor"><img src="https://agentmods.dev/badge/agents/qwenlm/qwen-mm-plugins/movie-commentary-executor/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/qwenlm/qwen-mm-plugins/movie-commentary-executor"><img src="https://agentmods.dev/badge/agents/qwenlm/qwen-mm-plugins/movie-commentary-executor.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 | $0.00021 | $0.00210 |
| Opus 5 | $0.00010 | $0.00105 |
| Sonnet 5 | $0.00004 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
movie-commentary-executor 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 yesterday.
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 Commentary Executor
Execute exactly one supplied frozen shard according to the rendering workflow. Read the immutable execution facts first. Do not change narration, voice, segment order, or creative intent; do not dispatch agents or access sibling commentary capabilities. Helpers stay inside the assigned shard directory.
Produce shard_NN.mp4 and exec_report.json with schema
omni-chatcut/movie-commentary-exec-report/v1. Use real configured TTS with bounded retries, evidence-based
bounded-window grounding, complete-sentence visual cuts, short subtitles, real source audio, bounded filter
graphs, and independent decode/measurement. Report degraded local re-pinning and external errors honestly.
Any unresolved segment or missing measurement makes the shard blocked. Return output paths, segment count,
duration, unresolved count, and QA result only.
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.
- yesterday First seen · 21 lines · 21 tokens per session scan A 9ec30f62f243
movie-commentary-executor is an agent published in the GitHub repository QwenLM/Qwen-MM-Plugins (2,814 stars, last pushed yesterday), licensed Apache-2.0. It adds 21 tokens to every session and 210 once invoked, about $0.0001 per session on Opus 5. 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 2026-09-10.
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