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/research)<a href="https://agentmods.dev/commands/galbaz1/video-research-mcp/research"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/research/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/research"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/research.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 | $0.00009 | $0.01319 |
| Opus 5.5 | $0.00004 | $0.00528 |
| Sonnet 5.5 | $0.00002 | $0.00264 |
| Haiku 4.5 | $0.00001 | $0.00132 |
Grade B, and why
research 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 18d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research: $ARGUMENTS
For hosted web-grounded research, use
/gr:research-deep. Both workflows use provider quota/billing; check current pricing and the authorized budget.
Run a multi-phase deep research analysis with progressive memory saving and automatic evidence-network visualization.
Phase 1: Research (run BOTH in parallel)
These calls are independent. Issue both in one turn within the authorized budget; configured model routes may coincide and share quota:
web_search(query="$ARGUMENTS")— uses the configuredflash_modelwith Google Search groundingresearch_deep(topic="$ARGUMENTS", scope="moderate", thinking_level="high")— uses the configured analysis model for three-phase model-only synthesis
Do NOT wait for one to finish before starting the other. The synthesis does not consume the parallel search response or retrieve sources. Keep its model proposals separate from inspected search evidence.
Phase 2: Present & Save Initial Results
-
Present findings organized by evidence tier:
- CONFIRMED — Inspected independent primary evidence supports the claim; model-written tiers alone do not qualify
- STRONG INDICATOR — Credible evidence with minor gaps
- INFERENCE — Reasonable conclusion from indirect evidence
- SPECULATION — Plausible but unverified
- UNKNOWN — Insufficient evidence
-
Highlight open questions and methodology critique
-
Immediately save initial results: a. Determine the memory directory: find the
.claude/project memory path for the current working directory. UseGlobon~/.claude/projects/*/memory/to find the active project memory path if needed. b. Generate a slug from the topic: lowercase, hyphens, no special chars, max 50 chars (e.g., "impact of mcp on ai agents" →impact-of-mcp-on-ai-agents) c. UseWriteto save at<memory-dir>/gr/research/<slug>/analysis.md:
---
source: web research
topic: "$ARGUMENTS"
analyzed: <ISO 8601 timestamp>
updated: <ISO 8601 timestamp>
scope: moderate
findings_count: <number>
evidence_tiers:
confirmed: <count>
strong_indicator: <count>
inference: <count>
speculation: <count>
unknown: <count>
---
# $ARGUMENTS
> Researched on <YYYY-MM-DD HH:MM>
> Scope: moderate
## Executive Summary <!-- <YYYY-MM-DD HH:MM> -->
<2-3 sentence summary>
## Findings <!-- <YYYY-MM-DD HH:MM> -->
### CONFIRMED
1. **<Finding>** — <evidence summary>
### STRONG INDICATOR
2. **<Finding>** — <evidence summary>
### INFERENCE
3. **<Finding>** — <evidence summary>
### SPECULATION
4. **<Finding>** — <evidence summary>
### UNKNOWN
5. **<Finding>** — <evidence summary>
## Sources <!-- <YYYY-MM-DD HH:MM> -->
<Cited sources with URLs where available>
## Open Questions <!-- <YYYY-MM-DD HH:MM> -->
<Unresolved questions for future investigation>
## Methodology Critique <!-- <YYYY-MM-DD HH:MM> -->
<Assessment of research methodology limitations>
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.
- 18d ago Changed · -1 lines ef1a1316cd61
- 24d ago Changed · -1 lines e80da99fa1d2
- 1mo ago First seen · 150 lines · 9 tokens per session scan B 6fab7f593056
research is a command published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed yesterday), licensed MIT. It adds 9 tokens to every session and 1,319 once invoked, about $0.0000 per session on Opus 5.5. 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.
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.