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 SreeDharshan-GJ/experiment-auditnpx agentmods add plugins/sreedharshan-gj/experiment-audit/experiment-audit-plugingit clone --depth 1 https://github.com/SreeDharshan-GJ/experiment-auditWrote 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/sreedharshan-gj/experiment-audit/experiment-audit-plugin)<a href="https://agentmods.dev/plugins/sreedharshan-gj/experiment-audit/experiment-audit-plugin"><img src="https://agentmods.dev/badge/plugins/sreedharshan-gj/experiment-audit/experiment-audit-plugin.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
experiment-audit 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": "experiment-audit",
"version": "1.1.0",
"description": "Scientific Research Reasoning Engine for evaluating experimental and empirical claims — auditing ML training runs, ablations, and sweeps; reviewing papers; checking reproducibility; and producing structured research reports. Optional Weights & Biases integration via the experiment-audit-mcp server.",
"author": {
"name": "Experiment Audit Project"
},
"keywords": [
"science",
"research",
"machine-learning",
"experiment-tracking",
"wandb",
"statistics",
"reproducibility",
"peer-review",
"reasoning-engine"
],
"license": "MIT"
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 276 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 5d ago First seen · 21 lines scan A 4610907e8d84
experiment-audit is a plugin published in the GitHub repository SreeDharshan-GJ/experiment-audit (7 stars, last pushed 10d 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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