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.
npx skills add keldron-ai/keldron-agent --skill keldron-agentgit clone --depth 1 https://github.com/keldron-ai/keldron-agentWrote 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/skills/keldron-ai/keldron-agent/keldron-agent)<a href="https://agentmods.dev/skills/keldron-ai/keldron-agent/keldron-agent"><img src="https://agentmods.dev/badge/skills/keldron-ai/keldron-agent/keldron-agent/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/skills/keldron-ai/keldron-agent/keldron-agent"><img src="https://agentmods.dev/badge/skills/keldron-ai/keldron-agent/keldron-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.08184 |
| Opus 5 | $0.00015 | $0.04092 |
| Sonnet 5 | $0.00006 | $0.01637 |
| Haiku 4.5 | $0.00003 | $0.00818 |
Grade B, and why
keldron-agent scanned grade B with 2 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 10d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
**No sudo required on any platform** for the agent binary. On Linux, Docker may require `sudo` or membership in the `docker` group — see [Docker post-install](https://docs.docker.com/engine/install/linux-postinstall/) or Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl How it starts
The opening of the file, as written. The whole thing — 736 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keldron Agent — GPU Monitoring with Risk Intelligence
1. Overview
Keldron Agent is a vendor-neutral GPU monitoring agent that runs locally and exposes real-time telemetry and risk scores via a Prometheus endpoint. It supports Apple Silicon (M1–M5), NVIDIA consumer GPUs (RTX 3090/4090/5090), NVIDIA datacenter (H100/B200), AMD GPUs, and any Linux machine.
Dual mode: Use the local agent on localhost:9100 for fast, real-time, single-device queries (works offline). Use Keldron Cloud (https://api.keldron.ai) for fleet overview, historical telemetry, analytics, and proactive fleet monitoring when an API key is configured.
No sudo required on any platform for the agent binary. On Linux, Docker may require sudo or membership in the docker group — see Docker post-install or rootless Docker if you hit permission errors.
Use this skill when the user wants to:
- Monitor GPU temperature, power, utilization, or memory
- Get risk assessments for their GPU
- Track power costs
- Set up alerts or watch a fleet (via cloud polling)
- Open the real dashboard (local or cloud)
- Ask fleet, history, or analytics questions
Mode detection (run at the start of an interaction)
Field names differ by endpoint — see Cloud API field names before writing jq filters.
# Check 1: Is the local agent running?
LOCAL_AGENT=$(curl -sf localhost:9100/healthz 2>/dev/null | jq -r '.status' 2>/dev/null)
# Check 2: Is cloud configured? (env → ~/.keldron/credentials from login → YAML)
CLOUD_KEY="${KELDRON_CLOUD_API_KEY:-}"
CLOUD_ENDPOINT=""
if [ -z "$CLOUD_KEY" ] && [ -f ~/.keldron/credentials ] && command -v jq &>/dev/null; then
CLOUD_KEY=$(jq -r '.api_key // ""' ~/.keldron/credentials 2>/dev/null)
CLOUD_ENDPOINT=$(jq -r '.endpoint // ""' ~/.keldron/credentials 2>/dev/null)
fi
if [ -z "$CLOUD_KEY" ]; then
if command -v yq &>/dev/null; then
CLOUD_KEY=$(yq '.cloud.api_key // ""' ~/.config/keldron/keldron-agent.yaml 2>/dev/null)
CLOUD_ENDPOINT=$(yq '.cloud.endpoint // ""' ~/.config/keldron/keldron-agent.yaml 2>/dev/null)
else
CLOUD_KEY=$(grep -A3 'cloud:' ~/.config/keldron/keldron-agent.yaml 2>/dev/null \
| grep 'api_key:' | awk '{print $2}' | tr -d "\"'" | xargs 2>/dev/null)
CLOUD_ENDPOINT=$(grep -A3 'cloud:' ~/.config/keldron/keldron-agent.yaml 2>/dev/null \
| grep 'endpoint:' | awk '{print $2}' | tr -d "\"'" | xargs 2>/dev/null)
fi
fi
CLOUD_ENDPOINT="${CLOUD_ENDPOINT:-https://api.keldron.ai}"
if [ -z "$CLOUD_KEY" ]; then
echo "No cloud API key found. Run keldron-agent login, set KELDRON_CLOUD_API_KEY (non-interactive login or streaming), or add cloud.api_key to ~/.config/keldron/keldron-agent.yaml. Sign up at https://app.keldron.ai"
fi
# Check 3: Does cloud respond? (only if we have a key)
CLOUD_OK=""
if [ -n "$CLOUD_KEY" ]; then
CLOUD_OK=$(curl -sf "${CLOUD_ENDPOINT}/health" 2>/dev/null | jq -r '.status' 2>/dev/null)
fi
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.
- 10d ago First seen · 736 lines · 29 tokens per session scan B 66345ee7ec2b
keldron-agent is a skill published in the GitHub repository keldron-ai/keldron-agent (6 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 8,184 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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