Borrowing it
Nothing to install: this file belongs to cotdp/scraper-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cotdp/scraper-mcp/main/.claude/skills/perplexity/SKILL.mdgit clone --depth 1 https://github.com/cotdp/scraper-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/cotdp/scraper-mcp/perplexity)<a href="https://agentmods.dev/skills/cotdp/scraper-mcp/perplexity"><img src="https://agentmods.dev/badge/skills/cotdp/scraper-mcp/perplexity/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/cotdp/scraper-mcp/perplexity"><img src="https://agentmods.dev/badge/skills/cotdp/scraper-mcp/perplexity.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 | $0.00057 | $0.01341 |
| Opus 5.5 | $0.00023 | $0.00536 |
| Sonnet 5.5 | $0.00011 | $0.00268 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
perplexity 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perplexity AI Skill
AI-powered web search and reasoning capabilities via the scraper MCP server.
When to Use This Skill
- Searching the web with AI-synthesized answers
- Research tasks requiring multiple sources with citations
- Complex reasoning and multi-step analysis
- Questions about current events or real-time information
- Comparing options or analyzing trade-offs
Available Tools
| Tool | Model | Best For |
|---|---|---|
mcp__scraper__perplexity |
sonar | General queries, quick searches, factual lookups |
mcp__scraper__perplexity_reason |
sonar-reasoning-pro | Complex analysis, comparisons, multi-step reasoning |
Tool Usage
1. General Web Search
For straightforward queries and information lookup:
mcp__scraper__perplexity(
messages=[
{"role": "user", "content": "What are the latest features in Next.js 15?"}
],
model="sonar",
temperature=0.3,
max_tokens=4000
)
Response includes:
content: AI-synthesized answer with citation markers [1], [2], etc.citations: Array of source URLsmodel: Model usedusage: Token statistics
2. Complex Reasoning
For analytical queries requiring deep thinking:
mcp__scraper__perplexity_reason(
query="Compare React Server Components vs traditional SSR approaches. Consider performance, developer experience, and migration complexity.",
temperature=0.3,
max_tokens=4000
)
Use cases:
- Technology comparisons
- Architecture decisions
- Trade-off analysis
- Multi-factor evaluations
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
messages |
array | required | Conversation history (perplexity only) |
query |
string | required | Question to reason about (perplexity_reason only) |
model |
string | "sonar" | "sonar" or "sonar-pro" |
temperature |
number | 0.3 | Creativity 0-2 (lower = more focused) |
max_tokens |
integer | 4000 | Maximum response length |
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.
- 2mo ago First seen · 202 lines · 57 tokens per session scan A 176719bc10bd
perplexity is a skill published in the GitHub repository cotdp/scraper-mcp (8 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 1,341 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
perplexity compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| perplexitycotdp/scraper-mcp | Skill | 8 | yesterday | MIT | A | 57 | Claude Code |
| skillsadrianwedd/rlm-mcp | Skill | 1 | 5mo ago | none | A | 0 | Claude Code, Codex |
| browser-usebrowser-use/browser-use | Skill | 120k | yesterday | MIT | A | 57 | Claude Code, Codex |
| open-sourcebrowser-use/browser-use | Skill | 120k | yesterday | MIT | A | 137 | Claude Code |
| crit-storytomasz-tomczyk/crit | Skill | 1.3k | 2d ago | MIT | A | 47 | Claude Code, Codex |
| snipedouard-claude/snip | Skill | 478 | yesterday | MIT | A | 0 | Claude Code, Codex |
| tokf-filtermpecan/tokf | Skill | 200 | 2d ago | MIT | A | 59 | Claude Code, Codex |