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/analyze)<a href="https://agentmods.dev/commands/galbaz1/video-research-mcp/analyze"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/analyze/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/commands/galbaz1/video-research-mcp/analyze"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/analyze.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 | $0.00011 | $0.01175 |
| Opus 5 | $0.00005 | $0.00588 |
| Sonnet 5 | $0.00002 | $0.00235 |
| Haiku 4.5 | $0.00001 | $0.00118 |
Grade B, and why
analyze scanned grade B 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
a. Determine the memory directory: find the `.claude/` project memory path for the current working directory. Use `Glob` on `~/.claude/projects/*/memory/` to find the active project memory path if needed. How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Analysis: $ARGUMENTS
Analyze the provided content with progressive memory saving and automatic knowledge-graph visualization.
Phase 1: Analyze
- Determine the input type from "$ARGUMENTS":
- If it starts with
http://orhttps://: usecontent_analyzewithurlparameter - If it looks like a file path (contains
/or.extension): usecontent_analyzewithfile_pathparameter - If it's a directory path (ends with
/or is a known directory): usecontent_batch_analyzewithdirectoryparameter andmode="compare" - Otherwise: use
content_analyzewithtextparameter
- If it starts with
- Use instruction="Provide a comprehensive analysis including title, summary, key points, important entities (people, organizations, concepts, technologies), document structure, and quality assessment."
Phase 2: Present & Save Initial Results
-
Present results clearly:
- Title and Source
- Summary (2-3 sentences)
- Key Points (bulleted)
- Entities (people, organizations, concepts)
- Quality Assessment
-
Immediately save initial results: a. Determine the memory directory: find the
.claude/project memory path for the current working directory. UseGlobon~/.claude/projects/*/memory/to find the active project memory path if needed. b. Generate a slug from the content title or source: lowercase, hyphens, no special chars, max 50 chars (e.g., "Attention Is All You Need" →attention-is-all-you-need, a URL likearxiv.org/abs/2401.12345→arxiv-2401-12345) c. UseWriteto save at<memory-dir>/gr/analysis/<slug>/analysis.md:
---
source: <url, file path, or "pasted text">
analyzed: <ISO 8601 timestamp>
updated: <ISO 8601 timestamp>
entities:
people: <count>
organizations: <count>
concepts: <count>
technologies: <count>
---
# <Title>
> Source: <url, file path, or "pasted text">
> Analyzed on <YYYY-MM-DD HH:MM>
## Summary <!-- <YYYY-MM-DD HH:MM> -->
<2-3 sentence summary>
## Key Points <!-- <YYYY-MM-DD HH:MM> -->
<Bulleted key points>
## Entities <!-- <YYYY-MM-DD HH:MM> -->
### People
- <Person 1> — <role/context>
### Organizations
- <Org 1> — <context>
### Concepts
- <Concept 1> — <brief definition>
### Technologies
- <Tech 1> — <context>
## Quality Assessment <!-- <YYYY-MM-DD HH:MM> -->
<Assessment of content quality, reliability, completeness>
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 · 129 lines · 11 tokens per session scan B 5446def1bcc5
analyze is a command published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 1,175 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). 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.
mem-last
Prints latest memory cards for the current project.
mem-prune
Removes old low-importance memories.
hybrid
Your tokens cost $15/million. Gemini is FREE.