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/cambridgetcg/agenttoolWrote 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/cambridgetcg/agenttool/telescope)<a href="https://agentmods.dev/plugins/cambridgetcg/agenttool/telescope"><img src="https://agentmods.dev/badge/plugins/cambridgetcg/agenttool/telescope/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/cambridgetcg/agenttool/telescope"><img src="https://agentmods.dev/badge/plugins/cambridgetcg/agenttool/telescope.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
telescope 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": "telescope",
"version": "0.2.3",
"description": "Bounded public agent-surface evidence mapping",
"author": {
"name": "AgentTool contributors",
"url": "https://agenttool.dev"
},
"homepage": "https://github.com/cambridgetcg/agenttool/tree/main/packages/telescope",
"repository": "https://github.com/cambridgetcg/agenttool",
"license": "Apache-2.0",
"keywords": [
"agents",
"discovery",
"evidence",
"mcp"
],
"mcpServers": {
"agenttool-telescope": {
"command": "node",
"args": [
"${CLAUDE_PLUGIN_ROOT}/dist/agenttool-telescope-mcp.js"
]
}
}
}
What it installs
The manifest is a name and a version. 2 skills travel with it, and installing the plugin installs all of them — 183 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 · 27 lines scan A 4415df2d23cf
telescope is a plugin published in the GitHub repository cambridgetcg/agenttool (0 stars, last pushed 23d ago), 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 2026-08-31.
Other plugins, from other repositories
hyperliquid-risk-monitor
Mission-critical real-time risk monitoring system with automated alerts, circuit breakers, and emergency shutdown for live Hyperliquid trading by ae.ltd.
d3mo-video-generator
Professional video production system using Remotion and advanced animation techniques for demos, tutorials, and marketing content by ae.ltd.
fartnode-orchestrator-suite
Master multi-agent orchestration system that deploys and manages specialized subagents for comprehensive viral automation ecosystems by ae.ltd.
emergent-capability-suite
Advanced meta-skill ecosystem that evolves new capabilities through intelligent skill synthesis and pattern recognition by ae.ltd.
mutation-tester
Mutation testing to measure test suite quality.
n8n-workflow
Generate n8n automation workflows from natural language descriptions.