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/ruvnet/cognitum-claude-pluginWrote 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/ruvnet/cognitum-claude-plugin/cognitum-seed)<a href="https://agentmods.dev/plugins/ruvnet/cognitum-claude-plugin/cognitum-seed"><img src="https://agentmods.dev/badge/plugins/ruvnet/cognitum-claude-plugin/cognitum-seed.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
cognitum-seed 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 7d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What it installs
The manifest is a name and a version. 1 skill, 8 commands, 1 agent travel with it, and installing the plugin installs all of them — 211 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill seed-troubleshoot A 49 tokens
- Command seed-pair A 13 tokens
- Command seed-snapshot A 13 tokens
- Command seed-status A 10 tokens
- Command seed-store A 11 tokens
- Command seed-ota A 10 tokens
- Command seed-thermal A 9 tokens
- Command seed-wifi A 16 tokens
- Command seed-cluster A 14 tokens
- Agent seed-installer A 66 tokens
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.
- 7d ago First seen · 15 lines scan A c61686c07b97
cognitum-seed is a plugin published in the GitHub repository ruvnet/cognitum-claude-plugin (9 stars, last pushed 4mo ago), with no licence file. 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
drone-cv-expert
Expert in drone systems, computer vision, and autonomous navigation. Specializes in flight control, SLAM, object detection, sensor fusion, and path planning. Activate on "drone", "UAV", "SLAM", "visual odometry", "PID control", "MAVLink", "Pixhawk", "path planning", "A", "RRT", "EKF", "sensor fusion", "optical flow".
tempest
Query hyper-local weather from a WeatherFlow Tempest station over its REST API and the hub's local UDP broadcast: current conditions, forecast, historical observations, and real-time decoded datagrams (obsst, rapidwind, evtprecip, evtstrike, hubstatus). Use when the user asks about weather, temperature, rain, wind.
r2g-skills
RTL-to-GDS-to-Graph skill collection. eda-install detects the machine and installs + verifies the open-source EDA toolchain (with a no-sudo conda path). signoff-loop drives an open-source EDA flow (Yosys + OpenROAD-flow-scripts + KLayout + Magic + Netgen + OpenRCX) from a spec or RTL to signed-off GDSII (DRC, LVS…
hccl-test
HCCL (Huawei Collective Communication Library) performance testing for Ascend NPU clusters. Use for testing distributed communication bandwidth, verifying HCCL functionality, and benchmarking collective operations like AllReduce, AllGather, AlltoAll.
torch-air marketplace
Torch Accelerator Integration Readiness — evaluate how well a hardware accelerator integrates with PyTorch.
visionclaude
VisionClaude — Let Claude see the world through your eyes. Camera + voice + Meta Ray-Ban glasses bridge for Claude Code via iOS app.