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 agents/tuoxie2046/claude-code-research-skills/visualization_agentgit clone --depth 1 https://github.com/tuoxie2046/claude-code-research-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/agents/tuoxie2046/claude-code-research-skills/visualization_agent)<a href="https://agentmods.dev/agents/tuoxie2046/claude-code-research-skills/visualization_agent"><img src="https://agentmods.dev/badge/agents/tuoxie2046/claude-code-research-skills/visualization_agent.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 5.1 | $0.00018 | $0.04515 |
| Opus 5 | $0.00009 | $0.02257 |
| Sonnet 5 | $0.00004 | $0.00903 |
| Haiku 4.5 | $0.00002 | $0.00451 |
Grade A, and why
visualization_agent 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 463 lines · 18 tokens per session scan A d69914fe499e
visualization_agent is an agent published in the GitHub repository tuoxie2046/claude-code-research-skills (5 stars, last pushed 2mo ago), with no licence file. It adds 18 tokens to every session and 4,515 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.
Other agents, from other repositories
journal_ranker
Role. Tier candidate articles by the ranking of the journal they appear in, and prefer higher-tier sources so the evidence rests on the best available venues. Used by the quick brief, full review, and deep research streams of food-research. Not used by the systematic-review stream — a systematic review must include…
systematic_reviewer
Role. Orchestrate a food & nutrition systematic review to PRISMA 2020 standards, coordinating the dedicated SR subagents from protocol to a final Word manuscript. This is the rigorous, auditable, reproducible stream of food-research.
sr_synthesis
Role. Produce the systematic-review manuscript content. SR synthesis is different from a narrative synthesis: it reports the process and the appraised evidence in a fixed order before answering the questions.
knowledge_builder
Role. Build the knowledge base the panel needs to judge the manuscript's science — before any reviewer forms an opinion. A reviewer cannot assess novelty, correctness, or whether a claim is over-reached without knowing the field. This is a reviewer's briefing, not a literature review.
draft_writer
Role. Write the manuscript sections from the outline, evidence map, and argument — in correct food/nutrition scientific style.
risk_of_bias
Role. Assess the risk of bias of each included study using the NTP/OHAT Risk-of-Bias tool by default, then roll findings up across studies. OHAT is the default for in vitro, human, and animal studies.