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/zpower426/datapowersWrote 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/zpower426/datapowers/datapowers)<a href="https://agentmods.dev/plugins/zpower426/datapowers/datapowers"><img src="https://agentmods.dev/badge/plugins/zpower426/datapowers/datapowers/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/plugins/zpower426/datapowers/datapowers"><img src="https://agentmods.dev/badge/plugins/zpower426/datapowers/datapowers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
datapowers 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 1mo 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": "datapowers",
"description": "Data mining skills library: EDA, validation, feature engineering, modeling, and proven analytical workflows for data analysts",
"version": "1.1.0",
"author": {
"name": "datapowers contributors"
},
"homepage": "https://github.com/zpower426/datapowers",
"repository": "https://github.com/zpower426/datapowers",
"license": "MIT",
"keywords": [
"data-mining",
"eda",
"feature-engineering",
"machine-learning",
"data-validation",
"leakage-guard",
"workflows",
"skills"
]
}
What it installs
The manifest is a name and a version. 20 skills, 3 commands, 3 agents, 1 hook travel with it, and installing the plugin installs all of them — 1,029 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill data-profiling A 42 tokens
- Skill leakage-guard A 39 tokens
- Skill test-driven-data-science A 41 tokens
- Skill verification-before-delivery A 36 tokens
- Skill analysis-manifest A 45 tokens
- Skill data-exploration A 33 tokens
- Skill executing-plans A 43 tokens
- Skill feature-engineering A 24 tokens
- Skill model-evaluation A 27 tokens
- Skill model-selection A 31 tokens
- Skill subagent-driven-analysis A 35 tokens
- Skill data-validation A 28 tokens
- Skill debugging-pipelines A 34 tokens
- Skill finishing-an-analysis-branch A 41 tokens
- Skill report-writing A 30 tokens
- Skill writing-data-skills A 34 tokens
- Skill writing-analysis-plans A 34 tokens
- Skill requesting-statistical-review A 35 tokens
- Skill using-datapowers A 20 tokens
- Skill brainstorming B 35 tokens
- Command execute-plan A 13 tokens
- Command write-plan A 10 tokens
- Command brainstorm A 10 tokens
- Agent analyst A 100 tokens
- Agent statistical-reviewer A 110 tokens
- Agent code-quality-reviewer A 99 tokens
- Hook SessionStart A not measured
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 22 lines scan A b3ceb6e7fef3
datapowers is a plugin published in the GitHub repository zpower426/datapowers (1 stars, last pushed 6mo 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 2026-08-31.
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