iFixAi is a command-line auditing tool that checks whether an AI agent is performing its intended job according to business and organizational expectations. It runs diagnostic inspections across several areas and produces a graded scorecard, either through a guided CLI workflow, explicit flags, or an agent-operated plugin or skill. The catalogue add-ons let agents run and interpret these audits.
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/ifixai-ai/iFixAiWrote 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/ifixai-ai/ifixai/plugin)<a href="https://agentmods.dev/plugins/ifixai-ai/ifixai/plugin"><img src="https://agentmods.dev/badge/plugins/ifixai-ai/ifixai/plugin/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/ifixai-ai/ifixai/plugin"><img src="https://agentmods.dev/badge/plugins/ifixai-ai/ifixai/plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ifixai 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": "ifixai",
"displayName": "iFixAi",
"version": "0.2.0",
"description": "Independent auditing for AI agents, open source. Claude investigates your agent, authors an iFixAi fixture from its setup, and audits it against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Adversarial depth, assurance discipline. Test any provider's model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) as system-under-test and judge, each billed to its own account via a key in your settings.",
"author": {
"name": "iFixAi",
"url": "https://github.com/ifixai-ai/iFixAi"
},
"homepage": "https://github.com/ifixai-ai/iFixAi#readme",
"repository": "https://github.com/ifixai-ai/iFixAi",
"license": "Apache-2.0",
"keywords": ["safety", "diagnostic", "misalignment", "evaluation", "alignment"],
"defaultEnabled": true
}
What it installs
The manifest is a name and a version. 1 skill, 1 hook travel with it, and installing the plugin installs all of them — 178 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 · 16 lines scan A 0310b8d2e3c3
ifixai is a plugin published in the GitHub repository ifixai-ai/iFixAi (28,351 stars, last pushed yesterday), licensed Apache-2.0. 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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