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/FakeHank/ai-report-to-meWrote 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/fakehank/ai-report-to-me/ai-report-to-me)<a href="https://agentmods.dev/plugins/fakehank/ai-report-to-me/ai-report-to-me"><img src="https://agentmods.dev/badge/plugins/fakehank/ai-report-to-me/ai-report-to-me/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/fakehank/ai-report-to-me/ai-report-to-me"><img src="https://agentmods.dev/badge/plugins/fakehank/ai-report-to-me/ai-report-to-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ai-report-to-me 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 11d 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": "ai-report-to-me",
"description": "Your AI coding sessions deserve better management 🎧 — daily reports & 90-day summaries from Claude Code, Gemini CLI, Codex & OpenCode logs.",
"version": "0.2.6",
"author": {
"name": "FakeHank"
},
"homepage": "https://github.com/FakeHank/ai-report-to-me",
"repository": "https://github.com/FakeHank/ai-report-to-me",
"license": "MIT",
"keywords": ["ai-coding", "daily-report", "spotify-wrapped", "vibe-coding", "coding-analytics"]
}
What it installs
The manifest is a name and a version. 2 commands, 1 hook travel with it, and installing the plugin installs all of them — 0 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.
- 11d ago First seen · 13 lines scan A 021b3ee36d9b
ai-report-to-me is a plugin published in the GitHub repository FakeHank/ai-report-to-me (9 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.
Other plugins, from other repositories
persona-harness
Persona Harness shared skills and opt-in targeted Context for Claude Code.
hello-world
A simple example plugin that demonstrates basic Claude Code plugin functionality.
sipcode
Token-economy observatory for Claude Code: forensic per-session audit, A/B savings verifier, reproducible benchmark, and cost prediction — directly in Claude chat. Auto-installs via npx on first use; no separate npm install required.
dekko
Adds a /map command that programmatically scans the repository: every code file, function, parameter, type, return type, and the call relationships between functions. Writes MAP.md and map.json without spending model tokens on parsing.
anotifier
Desktop & phone notifications for AI coding agents in VS Code and CLI. Supports Claude Code, Codex, Gemini CLI, and Cursor.
taskferry
Background OpenCode task execution through the Taskferry AXI CLI.