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/MSiccDev/ai-context-kitWrote 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/msiccdev/ai-context-kit/ai-context-kit)<a href="https://agentmods.dev/plugins/msiccdev/ai-context-kit/ai-context-kit"><img src="https://agentmods.dev/badge/plugins/msiccdev/ai-context-kit/ai-context-kit/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/msiccdev/ai-context-kit/ai-context-kit"><img src="https://agentmods.dev/badge/plugins/msiccdev/ai-context-kit/ai-context-kit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ai-context-kit 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
{
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json",
"name": "ai-context-kit",
"version": "1.5.1",
"description": "Context-aware AI collaboration skills and implementation loop prompts for creating and validating user context, project AGENTS.md files, and skill artifacts across LLM providers.",
"author": {
"name": "MSiccDev Software Development",
"url": "https://github.com/MSiccDev"
},
"homepage": "https://github.com/MSiccDev/ai-context-kit",
"repository": "https://github.com/MSiccDev/ai-context-kit",
"license": "MIT",
"keywords": [
"context",
"agents",
"skills",
"user-context",
"ai-collaboration",
"prompt-engineering",
"implementation-loop",
"workflow-prompts"
]
}
What it installs
The manifest is a name and a version. 13 skills travel with it, and installing the plugin installs all of them — 425 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill time-awareness A 100 tokens
- Skill create-agents-md A 26 tokens
- Skill create-checkpoint A 44 tokens
- Skill create-project-instructions A 25 tokens
- Skill create-skill A 22 tokens
- Skill create-usercontext-instructions A 22 tokens
- Skill restore-checkpoint A 44 tokens
- Skill validate-agents-md A 24 tokens
- Skill validate-project-instructions A 28 tokens
- Skill validate-usercontext-instructions A 24 tokens
- Skill example-skill A 18 tokens
- Skill repository-drift-control A 26 tokens
- Skill validate-skill A 22 tokens
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 Changed cdf2625dedae
- 1mo ago First seen · 24 lines scan A 7b1509e9bbce
ai-context-kit is a plugin published in the GitHub repository MSiccDev/ai-context-kit (12 stars, last pushed 18d 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 2026-08-30.
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