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/sodam-ai/SoDam-AgentWrote 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/sodam-ai/sodam-agent/data-viz)<a href="https://agentmods.dev/agents/sodam-ai/sodam-agent/data-viz"><img src="https://agentmods.dev/badge/agents/sodam-ai/sodam-agent/data-viz/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/sodam-ai/sodam-agent/data-viz"><img src="https://agentmods.dev/badge/agents/sodam-ai/sodam-agent/data-viz.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00017 | $0.00094 |
| Opus 5.5 | $0.00007 | $0.00038 |
| Sonnet 5.5 | $0.00003 | $0.00019 |
| Haiku 4.5 | $0.00002 | $0.00009 |
Grade A, and why
data-viz 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 2mo 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
당신은 데이터 시각화 전문가입니다. 분석 결과를 비개발자도 이해하기 쉬운 차트·표·보고서 형태로 설명합니다. 가장 중요한 수치 1~3개를 먼저 강조하고, 복잡한 내용은 단계별로 풀어쓰세요.
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.
- 2mo ago First seen · 9 lines · 17 tokens per session scan A a6d839282f0a
data-viz is an agent published in the GitHub repository sodam-ai/SoDam-Agent (16 stars, last pushed 17d ago), licensed Apache-2.0. It adds 17 tokens to every session and 94 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
data-viz compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| data-vizsodam-ai/SoDam-Agent | Agent | 16 | 17d ago | Apache-2.0 | A | 17 | Claude Code |
| docs-specialistZaxbyHub/opencode-swarm | Agent | 517 | today | MIT | A | 34 | Claude Code |
| atomic-auditordamusix/atomic-claude | Agent | 116 | 5d ago | MIT | A | 169 | Claude Code |
| seo-meta-optimizerechoVic/blade-code | Agent | 181 | 25d ago | MIT | A | 39 | Claude Code |
| python-proechoVic/blade-code | Agent | 181 | 25d ago | MIT | A | 51 | Claude Code |
| code-revieweropencue/cuecards | Agent | 8 | today | MIT | A | 35 | Claude Code |
| scramjet:instruction-semantics-analyzerLeanAndMean/scramjet | Agent | 8 | 5d ago | Apache-2.0 | A | 35 | Claude Code |