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 nitinjain999/platform-skills --skill runtime-securitygit clone --depth 1 https://github.com/nitinjain999/platform-skillsWrote 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/nitinjain999/platform-skills/runtime-security)<a href="https://agentmods.dev/skills/nitinjain999/platform-skills/runtime-security"><img src="https://agentmods.dev/badge/skills/nitinjain999/platform-skills/runtime-security/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/nitinjain999/platform-skills/runtime-security"><img src="https://agentmods.dev/badge/skills/nitinjain999/platform-skills/runtime-security.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 | $0.00121 | $0.02405 |
| Opus 5.5 | $0.00048 | $0.00962 |
| Sonnet 5.5 | $0.00024 | $0.00481 |
| Haiku 4.5 | $0.00012 | $0.00241 |
Grade A, and why
runtime-security 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detect and respond to threats inside running containers using Falco.
Interactive Wizard (fires when no arguments are provided)
When invoked with no arguments, ask before proceeding:
Q1 — Mode?
What do you need?
1. install — deploy Falco on Kubernetes (EKS or GKE) with eBPF driver
2. rules — write and test a custom Falco rule
3. alerts — configure Falcosidekick to route alerts (Slack, webhook, etc.)
4. debug — diagnose why a Falco rule is not firing
5. harden — map runtime Falco alerts to Kyverno admission policies
Enter 1–5 or mode name:
Q2 — Context (after mode selected, one at a time):
- install:
Which cloud platform? EKS / GKE / other (specify node OS if known): - rules:
Describe the behaviour to detect (e.g. "shell spawned in a container", "unexpected outbound connection"): - alerts:
Which output destination? Slack / webhook / PagerDuty / other: - debug:
Describe the symptom — which rule is not firing, and what event should trigger it? - harden:
Which Falco alert or rule output should block re-admission? (paste the alert or rule name):
Then proceed into the relevant mode below.
Mode: install
Deploy Falco on Kubernetes (EKS or GKE) using the eBPF driver via Helm.
Prerequisites:
- Helm 3.x
kubectlaccess to the target cluster- Node OS: Amazon Linux 2/2023 (EKS) or Container-Optimized OS (GKE) — both support eBPF
Steps:
- Add the Falco Helm repository:
helm repo add falcosecurity https://falcosecurity.github.io/charts helm repo update - Install Falco with eBPF driver (never kernel module on managed K8s):
helm install falco falcosecurity/falco \ --namespace falco \ --create-namespace \ -f examples/runtime-security/falco-values.yaml - Verify DaemonSet is running on all nodes:
kubectl rollout status daemonset/falco -n falco kubectl get pods -n falco -o wide - Confirm Falco is receiving events:
Expected: lines likekubectl logs -n falco -l app.kubernetes.io/name=falco --tail=20Notice A shell was spawned...(from the default ruleset test events)
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.
- 5d ago First seen · 239 lines · 121 tokens per session scan A c0e0e7413871
runtime-security is a skill published in the GitHub repository nitinjain999/platform-skills (70 stars, last pushed 3d ago), licensed Apache-2.0. It adds 121 tokens to every session and 2,405 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-12.
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