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/msapps-mobile/claude-plugins/scrape-profilenpx skills add MSApps-Mobile/claude-plugins --skill scrape-profilegit clone --depth 1 https://github.com/MSApps-Mobile/claude-pluginsWrote 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/msapps-mobile/claude-plugins/scrape-profile)<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/scrape-profile"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/scrape-profile.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00212 |
| Opus 5 | $0.00014 | $0.00106 |
| Sonnet 5 | $0.00005 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
scrape-profile 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 3d 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
Scrape LinkedIn Profile
Extract professional data from a LinkedIn profile using the Apify LinkedIn Profile Scraper actor.
Requirements
- A valid Apify API token (set as APIFY_TOKEN environment variable)
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A LinkedIn profile URL
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Workflow
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- Validate input: Confirm the user has provided a valid LinkedIn profile URL
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- Run the Apify actor: Use the Apify LinkedIn Profile Scraper to extract profile data
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- Parse and format: Structure the extracted data into a clean summary
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Present results: Display the formatted profile data to the user
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Important Notes
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- Always confirm with the user before initiating a scrape
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- Respect rate limits and LinkedIn terms of service
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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.
- 3d ago First seen · 23 lines · 27 tokens per session scan A c7aedca04adb
scrape-profile is a skill published in the GitHub repository MSApps-Mobile/claude-plugins (9 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 212 once invoked, about $0.0001 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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