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.
npx skills add Galbaz1/video-research-mcp --skill gr-advisorgit 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/skills/galbaz1/video-research-mcp/gr-advisor)<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/gr-advisor"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/gr-advisor/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/skills/galbaz1/video-research-mcp/gr-advisor"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/gr-advisor.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 | $0.00074 | $0.00526 |
| Opus 5 | $0.00037 | $0.00263 |
| Sonnet 5 | $0.00015 | $0.00105 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
gr-advisor 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 11d 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
GR Workflow Advisor
Last updated: 2026-03-07 12:34 CET
Recommend the right /gr command before executing research, video analysis, or content tasks.
When to Activate
Activate when the user expresses intent to:
- Research a topic, question, or concept
- Analyze a YouTube video or local video file
- Analyze a URL, document, or pasted content
- Search the web for current information
- Find or manage past research/knowledge
Do NOT activate for: code tasks, git operations, file editing, general questions, non-/gr work, or when the user already specified a /gr command. Never recommend /gr:advisor — if intent is unclear, ask a clarifying question.
Workflow
- Categorize intent: research | video | content | knowledge | system
- Check prior work: call
knowledge_search(query="<user topic>", limit=3)— skip if Weaviate is unavailable or the query is a system task - Recommend: use structured format below, max 3 options
- Wait: do not execute — let the user confirm or adjust
Recommendation Format
RECOMMENDED: /gr:<command> "<args>"
WHY: <one sentence>
ALTERNATIVE: /gr:<other>
COST: free|$2-5 | TIME: instant|10-20 min
NEXT STEP: <follow-up action>
Key Routing Rules
- Quick question →
/gr:search(free, instant) — NEVER/gr:research-deep - Video URL →
/gr:videoor/gr:video-chat - Document/URL →
/gr:analyzeor/gr:research-doc - Topic research →
/gr:research(free) or/gr:research-deep($2-5, 10-20 min) - Prior work exists → suggest
/gr:recallfirst - After research → suggest
/gr:ingestto persist
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.
- 11d ago First seen · 50 lines · 74 tokens per session scan A 6be89dc10dee
gr-advisor is a skill published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 526 once invoked, about $0.0004 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.
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