Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cyberbird2048/gbrainmcp-cleannpx agentmods add skills/cyberbird2048/gbrainmcp-clean/perplexity-researchWrote 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/cyberbird2048/gbrainmcp-clean/perplexity-research)<a href="https://agentmods.dev/skills/cyberbird2048/gbrainmcp-clean/perplexity-research"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/perplexity-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/skills/cyberbird2048/gbrainmcp-clean/perplexity-research"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/perplexity-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 | $0.00080 | $0.01659 |
| Opus 5 | $0.00040 | $0.00830 |
| Sonnet 5 | $0.00016 | $0.00332 |
| Haiku 4.5 | $0.00008 | $0.00166 |
Grade A, and why
perplexity-research scanned grade A 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# curl https://api.perplexity.ai/chat/completions \ This is a copy
100% identical to perplexity-research — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
perplexity-research — Brain-Augmented Web Research
Convention: see conventions/quality.md for citation rules; every claim from web research lands with a verifiable citation, not a paraphrase.
Convention: see conventions/brain-first.md for the lookup chain. This skill ENFORCES brain-first by sending brain context as part of the Perplexity prompt — the web search focuses on the delta between brain knowledge and current web state.
What this does
Combines existing brain knowledge with Perplexity's web search. The agent sends brain context about a topic into a Perplexity query; Perplexity searches + reads + synthesizes multiple pages with citations, focused on what's NEW relative to the supplied context.
The key insight: Perplexity doesn't just search — it reads and synthesizes with citations. By sending brain context in the instructions, it knows what you already know, so it surfaces the delta instead of repeating settled fact.
When to use this vs other tools
| Need | Use |
|---|---|
| Deep research with citations | This skill — Perplexity + Opus |
| Quick URL content | web_fetch |
| Brain-only lookup | gbrain query / gbrain search |
| Real-time social monitoring | external X / social-media collectors |
| Structured data lookup against a tracker | skills/data-research/SKILL.md |
Output structure
The research output lands as a brain page under research/<slug>.md with
this structure:
---
title: "[Topic] — Research [YYYY-MM-DD]"
type: research
date: YYYY-MM-DD
brain_context_slugs: ["pages whose context was sent to Perplexity"]
recency_filter: "[hour|day|week|month|none]"
---
# [Topic] — Research [YYYY-MM-DD]
> Executive summary: 2-3 sentences on the delta between brain knowledge
> and current web state.
## Key New Developments
What's changed since the brain was last updated on this topic.
## Confirming Signals
Web evidence validating existing brain knowledge.
## Contradictions or Updates
Things that conflict with the brain — these need a closer look.
## Recommended Brain Updates
Specific page updates the user might want to make based on this research.
Each item: which page, what to add or change, source URL.
## Citations
- [Source title](URL) — accessed YYYY-MM-DD
- [Source title](URL) — accessed YYYY-MM-DD
- ...
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 200 lines · 80 tokens per session scan A 1c7225d9a616
perplexity-research is a skill published in the GitHub repository cyberbird2048/gbrainmcp-clean (0 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 1,659 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to perplexity-research, differing in 2 lines, and is treated as a copy.
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