Agent skill

Ebpf Observability

by sickn33 in sickn33/agentic-awesome-skills

Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.

MITAuto-check: notesDevOps & Cloud

Install Ebpf Observability

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill ebpf-observability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills ebpf-observability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ebpf-observability .claude/skills/ebpf-observability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ebpf-observability
GitHub stars
47k
Used in
2 other repos
Token cost
~3.3k tokens
SKILL.md length
404 words
Files
2 (incl. references)
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.

  • Works in 4 steps: Prerequisites → Cilium Setup → Tetragon for Security → …
  • Tasks that involve Observability
  • SKILL.md covers 2. Prerequisites, 3. Cilium Setup, 4. Tetragon for Security and 5. bpftrace One-Liners, plus 3 more sections
  • Calls kubectl, helm and curl; reaches github.com and helm.cilium.io

What it does

Ebpf Observability is an agent skill from sickn33/agentic-awesome-skills. Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/details.md`). Compatibility notes: Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and…

It sits in DevOps & Cloud, covering Observability. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Observability

Example prompts

  • “/ebpf-observability”

Requirements

  • Compatibility (from SKILL.md): Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and templates not bundled.

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Prerequisites
  2. Cilium Setup
  3. Tetragon for Security
  4. bpftrace One-Liners

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • kubectl
    • helm
    • curl
    • apt-get
    • git
    • dnf

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com
    • helm.cilium.io
    • raw.githubusercontent.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and templates not bundled.

    From compatibility in the SKILL.md frontmatter.

Context cost

Ebpf Observability loads about 3.3k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 404 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:54
    sudo mount -t bpf bpf /sys/fs/bpf
  • NoteRuns commands with sudoSKILL.md:59
    sudo sysctl net.core.bpf_jit_enable=1
  • NoteRuns commands with sudoSKILL.md:66
    sudo apt-get update
  • NoteRuns commands with sudoSKILL.md:67
    sudo apt-get install -y bpftrace bpfcc-tools libbpf-dev linux-headers-$(uname -r)
  • NoteRuns commands with sudoSKILL.md:70
    sudo dnf install -y bpftrace bcc-tools libbpf-devel kernel-devel
  • NoteRuns commands with sudoSKILL.md:73
    sudo bpftrace -e 'BEGIN { printf("eBPF is working\n"); exit(); }'
  • NoteRuns commands with sudoSKILL.md:111
    sudo tar xzvf cilium-linux-amd64.tar.gz -C /usr/local/bin
  • NoteRuns commands with sudoSKILL.md:117
    sudo tar xzvf hubble-linux-amd64.tar.gz -C /usr/local/bin
  • NoteRuns commands with sudoSKILL.md:174
    sudo tar xzvf tetra-linux-amd64.tar.gz -C /usr/local/bin
  • NoteRuns commands with sudoSKILL.md:321
    sudo bpftrace -e 'tracepoint:syscalls:sys_enter_read { @start[tid] = nsecs; }

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 404 words, ~3,337 tokens.

Download SKILL.mdSave it as .claude/skills/ebpf-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ebpf-observability
description
Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.
compatibility
Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and templates not bundled.
category
devops
risk
critical
source
https://github.com/BagelHole/DevOps-Security-Agent-Skills
source_repo
BagelHole/DevOps-Security-Agent-Skills
source_type
community
date_added
2026-09-20
license
MIT
license_source
https://github.com/BagelHole/DevOps-Security-Agent-Skills/blob/main/LICENSE
metadata.author
devops-skills
metadata.version
1.0

eBPF Observability

eBPF (extended Berkeley Packet Filter) allows you to run sandboxed programs in the Linux kernel without modifying kernel source code or loading kernel modules. This skill covers using eBPF for deep observability, network monitoring, and security enforcement across cloud-native infrastructure.


2. Prerequisites

Kernel Version Requirements
FeatureMinimum KernelRecommended Kernel
Basic BPF maps & probes4.95.10+
BPF CO-RE (BTF support)5.25.10+
BPF ring buffer5.85.10+
BPF LSM hooks5.75.15+
Cilium full features4.195.10+
Tetragon4.195.13+
Verify Kernel Support
bash
# Check kernel version
uname -r

# Verify BTF (BPF Type Format) is enabled -- required for CO-RE
ls /sys/kernel/btf/vmlinux

# Check BPF filesystem is mounted
mount | grep bpf

# If not mounted, mount it
sudo mount -t bpf bpf /sys/fs/bpf

# Verify BPF JIT is enabled
cat /proc/sys/net/core/bpf_jit_enable
# Should return 1; if not:
sudo sysctl net.core.bpf_jit_enable=1
Install Toolchain
bash
# Ubuntu/Debian -- install bpftrace, bcc tools, and libbpf
sudo apt-get update
sudo apt-get install -y bpftrace bpfcc-tools libbpf-dev linux-headers-$(uname -r)

# Fedora/RHEL
sudo dnf install -y bpftrace bcc-tools libbpf-devel kernel-devel

# Verify bpftrace works
sudo bpftrace -e 'BEGIN { printf("eBPF is working\n"); exit(); }'

3. Cilium Setup

Cilium replaces kube-proxy with eBPF-based networking, providing identity-aware security and deep network observability via Hubble.

Install Cilium on Kubernetes
bash
# Add the Cilium Helm repo
helm repo add cilium https://helm.cilium.io/
helm repo update

# Install Cilium with Hubble enabled
helm install cilium cilium/cilium --version 1.16.4 \
  --namespace kube-system \
  --set kubeProxyReplacement=true \
  --set k8sServiceHost="${API_SERVER_IP}" \
  --set k8sServicePort="${API_SERVER_PORT}" \
  --set hubble.enabled=true \
  --set hubble.relay.enabled=true \
  --set hubble.ui.enabled=true \
  --set hubble.metrics.enableOpenMetrics=true \
  --set hubble.metrics.enabled="{dns,drop,tcp,flow,port-distribution,icmp,httpV2:exemplars=true;labelsContext=source_ip\,source_namespace\,source_workload\,destination_ip\,destination_namespace\,destination_workload}"

# Wait for Cilium to be ready
cilium status --wait
Install the Cilium CLI and Hubble CLI
bash
# Cilium CLI
CILIUM_CLI_VERSION=$(curl -s https://raw.githubusercontent.com/cilium/cilium-cli/main/stable.txt)
curl -L --remote-name "https://github.com/cilium/cilium-cli/releases/download/${CILIUM_CLI_VERSION}/cilium-linux-amd64.tar.gz"
sudo tar xzvf cilium-linux-amd64.tar.gz -C /usr/local/bin
rm cilium-linux-amd64.tar.gz

# Hubble CLI
HUBBLE_VERSION=$(curl -s https://raw.githubusercontent.com/cilium/hubble/master/stable.txt)
curl -L --remote-name "https://github.com/cilium/hubble/releases/download/${HUBBLE_VERSION}/hubble-linux-amd64.tar.gz"
sudo tar xzvf hubble-linux-amd64.tar.gz -C /usr/local/bin
rm hubble-linux-amd64.tar.gz
Hubble Network Observability
bash
# Port-forward the Hubble Relay
cilium hubble port-forward &

# Observe all flows in real time
hubble observe --follow

# Filter flows by namespace
hubble observe --namespace production --follow

# Filter by verdict (dropped traffic)
hubble observe --verdict DROPPED --follow

# Filter by DNS queries
hubble observe --protocol DNS --follow

# Filter HTTP traffic to a specific service
hubble observe --to-label "app=api-server" --protocol HTTP --follow

# Export flows as JSON for ingestion into SIEM
hubble observe --output json --last 1000 > flows.json
Hubble UI Access
bash
# Port-forward the Hubble UI
kubectl port-forward -n kube-system svc/hubble-ui 12000:80

# Access at http://localhost:12000 -- provides a real-time service dependency map

4. Tetragon for Security

Tetragon is Cilium's runtime security enforcement engine. It uses eBPF to observe and enforce security policies at the kernel level with zero application changes.

Install Tetragon
bash
helm repo add cilium https://helm.cilium.io/
helm repo update

helm install tetragon cilium/tetragon \
  --namespace kube-system \
  --set tetragon.grpc.enabled=true \
  --set tetragon.exportFilename=/var/run/cilium/tetragon/tetragon.log

# Install the tetra CLI
curl -LO "https://github.com/cilium/tetragon/releases/latest/download/tetra-linux-amd64.tar.gz"
sudo tar xzvf tetra-linux-amd64.tar.gz -C /usr/local/bin
rm tetra-linux-amd64.tar.gz
Process Execution Monitoring
yaml
# process-monitor.yaml -- TracingPolicy to monitor all process executions
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: process-execution-monitor
spec:
  kprobes: []
  tracepoints: []
  uprobes: []
  enforcers: []
  # process_exec and process_exit events are always emitted by default
  # Use tetra CLI to observe them:
bash
# Watch all process executions cluster-wide
kubectl exec -n kube-system ds/tetragon -c tetragon -- tetra getevents -o compact --process-exec

# Filter to a specific namespace
kubectl exec -n kube-system ds/tetragon -c tetragon -- tetra getevents -o compact \
  --namespace production
File Access Tracking
yaml
# file-access-policy.yaml -- detect reads/writes to sensitive files
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: sensitive-file-access
spec:
  kprobes:
    - call: "security_file_open"
      syscall: false
      args:
        - index: 0
          type: "file"
      selectors:
        - matchArgs:
            - index: 0
              operator: "Prefix"
              values:
                - "/etc/shadow"
                - "/etc/passwd"
                - "/etc/kubernetes/pki"
                - "/var/run/secrets/kubernetes.io"
                - "/root/.ssh"
bash
kubectl apply -f file-access-policy.yaml

# Observe file access events
kubectl exec -n kube-system ds/tetragon -c tetragon -- tetra getevents -o compact \
  | grep "sensitive-file-access"
Network Connection Enforcement
yaml
# restrict-egress.yaml -- block unexpected outbound connections
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: restrict-egress-connections
spec:
  kprobes:
    - call: "tcp_connect"
      syscall: false
      args:
        - index: 0
          type: "sock"
      selectors:
        - matchArgs:
            - index: 0
              operator: "DAddr"
              values:
                - "169.254.169.254"  # Block IMDS access
          matchActions:
            - action: Sigkill
        - matchNamespaces:
            - namespace: Mnt
              operator: NotIn
              values:
                - "host_mnt"
bash
kubectl apply -f restrict-egress.yaml
Privileged Escalation Detection
yaml
# detect-privilege-escalation.yaml
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: detect-privilege-escalation
spec:
  kprobes:
    - call: "__x64_sys_setuid"
      syscall: true
      args:
        - index: 0
          type: "int"
      selectors:
        - matchArgs:
            - index: 0
              operator: "Equal"
              values:
                - "0"
          matchActions:
            - action: Post
              rateLimit: "1m"
    - call: "__x64_sys_setns"
      syscall: true
      args:
        - index: 1
          type: "int"
      selectors:
        - matchActions:
            - action: Post
bash
kubectl apply -f detect-privilege-escalation.yaml

5. bpftrace One-Liners

These are practical bpftrace commands you can run directly in production for targeted debugging.

Syscall Latency
bash
# Trace read() syscall latency distribution (microseconds)
sudo bpftrace -e 'tracepoint:syscalls:sys_enter_read { @start[tid] = nsecs; }
  tracepoint:syscalls:sys_exit_read /@start[tid]/ {
    @usecs = hist((nsecs - @start[tid]) / 1000);
    delete(@start[tid]);
  }'

# Top 10 slowest syscalls by total time
sudo bpftrace -e 'tracepoint:raw_syscalls:sys_enter { @start[tid] = nsecs; }
  tracepoint:raw_syscalls:sys_exit /@start[tid]/ {
    @ns[probe] = sum(nsecs - @start[tid]);
    delete(@start[tid]);
  } END { print(@ns, 10); }'
DNS Tracing
bash
# Trace DNS queries via UDP port 53 sends
sudo bpftrace -e 'kprobe:udp_sendmsg {
    $sk = (struct sock *)arg0;
    $dport = ($sk->__sk_common.skc_dport >> 8) | (($sk->__sk_common.skc_dport & 0xff) << 8);
    if ($dport == 53) {
      printf("%-8d %-16s DNS query to %s\n", pid, comm,
        ntop($sk->__sk_common.skc_daddr));
    }
  }'

# Count DNS queries by source process
sudo bpftrace -e 'kprobe:udp_sendmsg {
    $sk = (struct sock *)arg0;
    $dport = ($sk->__sk_common.skc_dport >> 8) | (($sk->__sk_common.skc_dport & 0xff) << 8);
    if ($dport == 53) { @dns[comm] = count(); }
  }'
TCP Retransmits
bash
# Trace TCP retransmits with source/destination
sudo bpftrace -e 'kprobe:tcp_retransmit_skb {
    $sk = (struct sock *)arg0;
    $daddr = ntop($sk->__sk_common.skc_daddr);
    $saddr = ntop($sk->__sk_common.skc_rcv_saddr);
    $dport = ($sk->__sk_common.skc_dport >> 8) | (($sk->__sk_common.skc_dport & 0xff) << 8);
    $sport = $sk->__sk_common.skc_num;
    printf("%-20s %-6d -> %-20s %-6d (%s)\n", $saddr, $sport, $daddr, $dport, comm);
  }'
Disk I/O Latency
bash
# Block I/O latency histogram by device
sudo bpftrace -e 'tracepoint:block:block_rq_issue { @start[args->dev, args->sector] = nsecs; }
  tracepoint:block:block_rq_complete /@start[args->dev, args->sector]/ {
    @usecs[args->dev] = hist((nsecs - @start[args->dev, args->sector]) / 1000);
    delete(@start[args->dev, args->sector]);
  }'

# Top processes by disk I/O bytes
sudo bpftrace -e 'tracepoint:block:block_rq_issue {
    @bytes[comm] = sum(args->bytes);
  } interval:s:5 { print(@bytes, 10); clear(@bytes); }'
Container-Aware Tracing
bash
# Trace process exec inside containers (cgroup-filtered)
sudo bpftrace -e 'tracepoint:syscalls:sys_enter_execve {
    printf("%-8d %-8d %-16s %s\n", pid, cgroup, comm, str(args->filename));
  }'

# Memory allocation hotspots per container
sudo bpftrace -e 'kprobe:__alloc_pages { @pages[cgroup] = count(); }
  interval:s:10 { print(@pages, 10); clear(@pages); }'

Contents

Show full SKILL.md (197 more words)Show less

When to Use

Use eBPF-based observability when you need:

  • Deep performance debugging -- trace kernel-level latency, syscall overhead, and scheduling delays that application-level metrics cannot reveal.
  • Network observability without sidecars -- capture L3/L4/L7 flows, DNS queries, and TCP state transitions directly from the kernel, eliminating the CPU and memory overhead of sidecar proxies.
  • Security monitoring at the kernel boundary -- detect container escapes, unexpected process execution, sensitive file access, and anomalous syscall patterns in real time.
  • Continuous profiling in production -- generate CPU flame graphs and memory allocation profiles with negligible overhead (typically under 1% CPU).
  • Service mesh replacement or augmentation -- Cilium can replace kube-proxy and provide identity-aware network policies enforced at the kernel level.

Avoid eBPF when your kernel version is below 4.19, when you are running on managed platforms that restrict BPF capabilities, or when your debugging needs are fully met by application-level tracing.


Limitations

  • Guidance executes against real environments: confirm target, blast radius, and rollback plan before applying anything.
  • Never deploy to production without explicit approval. Docs-only import: upstream scripts and templates not bundled.
Example
bash
git status && git diff --stat
kubectl diff -f manifest.yaml

Adapted from BagelHole/DevOps-Security-Agent-Skills (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/ebpf-observability of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/details.md

Open the folder on GitHubat commit ec02547

Used in 2 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ebpf Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ebpf Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ebpf Observability this skillsickn33/agentic-awesome-skills47k2 repos~3.3kAutomated safety check: NotesMIT
Vercel Optimize Auditvercel-labs/agent-skills32k9 repos~4.3kAutomated safety check: PassNone
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Kubernetes Network Root Cause Analysiskubeshark/kubeshark12k—~5.3kAutomated safety check: PassApache-2.0

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    32k GitHub starsUsed in 9 repos~4.3k tokens
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Categories

Questions about Ebpf Observability

What does Ebpf Observability do?

Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace. Ebpf Observability is an agent skill from sickn33/agentic-awesome-skills. Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.

When should I use Ebpf Observability?

Ebpf Observability fits situations like: tasks that involve Observability.

How do I install Ebpf Observability in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill ebpf-observability -a claude-code`. Or copy the skill folder (skills/ebpf-observability in sickn33/agentic-awesome-skills) into .claude/skills/ebpf-observability in your project. Claude Code loads it when a task matches its description.

How do I install Ebpf Observability in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill ebpf-observability -a codex`. Or copy the skill folder (skills/ebpf-observability in sickn33/agentic-awesome-skills) into .agents/skills/ebpf-observability in your project. Codex loads it when a task matches its description.

Can I use Ebpf Observability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill ebpf-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ebpf-observability, .gemini/skills/ebpf-observability, .github/skills/ebpf-observability and .opencode/skills/ebpf-observability in your project.

What does Ebpf Observability need to run?

Going by SKILL.md and its folder, Ebpf Observability needs the command-line tools its instructions call (kubectl, helm, curl, apt-get, git and dnf). Compatibility (from SKILL.md): Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and templates not bundled..

Does Ebpf Observability access the network?

SKILL.md names 3 domains. In commands or code: github.com, helm.cilium.io and raw.githubusercontent.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Ebpf Observability safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Ebpf Observability use?

Ebpf Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ebpf Observability use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.

What are the alternatives to Ebpf Observability?

Skills that share tags, products or a category with Ebpf Observability: Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ebpf Observability?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.