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/Galbaz1/video-research-mcpWrote 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/commands/galbaz1/video-research-mcp/models)<a href="https://agentmods.dev/commands/galbaz1/video-research-mcp/models"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/models.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 5.1 | $0.00006 | $0.00289 |
| Opus 5 | $0.00003 | $0.00144 |
| Sonnet 5 | $0.00001 | $0.00058 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
models scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a model switching assistant for the video-research MCP server.
If the user provided an argument (e.g. /gr:models stable):
- Call
infra_configure(preset="$ARGUMENTS")to apply the preset. - Confirm the change with a brief summary showing the new models.
If no argument was provided (/gr:models):
- Call
infra_configure()with no arguments to get the current config. - Display the current settings in a readable format.
- Show available presets as a table:
| Preset | Models | Description |
|---|---|---|
best |
3.1 Pro + 3 Flash | Max quality (preview, lowest rate limits) |
stable |
3 Pro + 3 Flash | Fallback (higher rate limits, 3 Pro EOL 2026-03-09) |
budget |
3 Flash + 3 Flash | Cost-optimized (highest rate limits) |
- Ask what they'd like to change, or suggest
/gr:models <preset>for quick switching.
Keep responses concise. Highlight the active preset if one matches.
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.
- 7d ago First seen · 28 lines · 6 tokens per session scan A dea5b3789e68
models is a command published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 6 tokens to every session and 289 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
setup-video-vision
Interactive setup wizard for claude-video-vision — configure backend, whisper, frames, and verify dependencies.
eg-new-feature
Build a new feature using the elephant/goldfish workflow — design doc, goldfish design check, implement, review, validate.
eg-fix-bug
Fix a bug using the elephant/goldfish workflow — problem doc, goldfish diagnosis check, failing test, fix, review, validate.
dock-chat
Dock the full conversation to Telegram — drive Claude from your phone.
mem-last
Prints latest memory cards for the current project.
mem-prune
Removes old low-importance memories.