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.
/plugin marketplace add oborchers/fractional-ctonpx agentmods add plugins/oborchers/fractional-cto/deep-researchgit clone --depth 1 https://github.com/oborchers/fractional-ctoWrote 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/oborchers/fractional-cto/deep-research)<a href="https://agentmods.dev/plugins/oborchers/fractional-cto/deep-research"><img src="https://agentmods.dev/badge/plugins/oborchers/fractional-cto/deep-research.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
deep-research 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 5d 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
{
"name": "deep-research",
"version": "1.2.2",
"description": "Structured deep research methodology for Claude Code \u2014 query decomposition, parallel web research with source verification, hallucination prevention, and synthesis into well-sourced documents",
"author": {
"name": "Dr. Oliver Borchers"
},
"repository": "https://github.com/oborchers/fractional-cto",
"license": "MIT",
"keywords": [
"research",
"deep-research",
"web-search",
"source-verification",
"hallucination-prevention",
"synthesis",
"citations"
]
}
What it installs
The manifest is a name and a version. 5 skills, 1 command, 3 agents travel with it, and installing the plugin installs all of them — 1,317 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill synthesis-and-reporting A 80 tokens
- Skill source-evaluation A 126 tokens
- Skill hallucination-prevention A 88 tokens
- Skill research-methodology A 91 tokens
- Skill using-deep-research A 70 tokens
- Command research A 25 tokens
- Agent research-worker A 330 tokens
- Agent research-synthesizer A 269 tokens
- Agent research-verifier A 238 tokens
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.
- 5d ago First seen · 20 lines scan A e30dd82edad0
deep-research is a plugin published in the GitHub repository oborchers/fractional-cto (29 stars, last pushed 29d ago), 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 2026-08-30.
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