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.
git clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/plugins/curiositech/some_claude_skills/anthropic-technical-deep-dive)<a href="https://agentmods.dev/plugins/curiositech/some_claude_skills/anthropic-technical-deep-dive"><img src="https://agentmods.dev/badge/plugins/curiositech/some_claude_skills/anthropic-technical-deep-dive.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
anthropic-technical-deep-dive 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 today.
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
{
"name": "anthropic-technical-deep-dive",
"description": "Prepare for Anthropic-specific technical interviews covering Constitutional AI, RLHF, interpretability, scaling laws, MCP, agentic systems, and AI safety. Activate on \"anthropic interview\", \"constitutional AI prep\", \"alignment interview\", \"safety interview\", \"RLHF opinion\", \"interpretability prep\", \"anthropic technical\". NOT for general ML interview prep, system design interviews, coding challenges, or behavioral interview practice."
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 94 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- today First seen · 5 lines scan A e3493739000c
anthropic-technical-deep-dive is a plugin published in the GitHub repository curiositech/some_claude_skills (211 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-06.
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