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 agentmods add skills/context-dot-dev/cursor-plugin/context-extractnpx skills add context-dot-dev/cursor-plugin --skill context-extractgit clone --depth 1 https://github.com/context-dot-dev/cursor-pluginWhat 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 | $0.00047 | $0.00247 |
| Opus 5 | $0.00023 | $0.00123 |
| Sonnet 5 | $0.00009 | $0.00049 |
| Haiku 4.5 | $0.00005 | $0.00025 |
Grade A, and why
context-extract 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 yesterday.
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
Extract structured web data
Use the Context.dev web-extract MCP tool when the output must have a predictable JSON shape rather than free-form page text.
Workflow
- Define the smallest JSON Schema that contains only the fields the user needs.
- Give every field a clear description that distinguishes similar values.
- Make fields optional or nullable when the source may omit them.
- Pass the relevant URL or URLs and describe the records to extract.
- Validate that the response follows the requested schema before presenting it.
Preserve source semantics. Tied ranks such as =19, ranges such as 101-150, and unavailable scores are legitimate source values; do not silently convert or invent them.
Extraction does not remove site pagination. Discover additional pages with web-scrape-sitemap, then use a batch when many page URLs must be processed. Use web-scrape-markdown when the user only needs readable text.
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.
- yesterday First seen · 21 lines · 47 tokens per session scan A 103356a88e29
context-extract is a skill published in the GitHub repository context-dot-dev/cursor-plugin (4 stars, last pushed 14d ago), licensed MIT. It adds 47 tokens to every session and 247 once invoked, about $0.0002 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 2026-08-31.
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