Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence.
Install Audit Kubernetes Policy Enforcement
$ npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cyberful/cyberful audit-kubernetes-policy-enforcement --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cyberful/builtin/skills/audit-kubernetes-policy-enforcement .claude/skills/audit-kubernetes-policy-enforcement && rm -rf skills-srcUse ~/.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/
Install the "audit-kubernetes-policy-enforcement" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/audit-kubernetes-policy-enforcement into .claude/skills/audit-kubernetes-policy-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-kubernetes-policy-enforcement", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/audit-kubernetes-policy-enforcementType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cyberful/cyberful audit-kubernetes-policy-enforcement --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cyberful/builtin/skills/audit-kubernetes-policy-enforcement .agents/skills/audit-kubernetes-policy-enforcement && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "audit-kubernetes-policy-enforcement" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/audit-kubernetes-policy-enforcement into .agents/skills/audit-kubernetes-policy-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-kubernetes-policy-enforcement", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cyberful/cyberful audit-kubernetes-policy-enforcement --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cyberful/builtin/skills/audit-kubernetes-policy-enforcement .cursor/skills/audit-kubernetes-policy-enforcement && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "audit-kubernetes-policy-enforcement" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/audit-kubernetes-policy-enforcement into .cursor/skills/audit-kubernetes-policy-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-kubernetes-policy-enforcement", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/cyberful/cyberful.git --path cyberful/builtin/skills/audit-kubernetes-policy-enforcement--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cyberful/cyberful audit-kubernetes-policy-enforcement --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cyberful/builtin/skills/audit-kubernetes-policy-enforcement .gemini/skills/audit-kubernetes-policy-enforcement && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "audit-kubernetes-policy-enforcement" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/audit-kubernetes-policy-enforcement into .gemini/skills/audit-kubernetes-policy-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-kubernetes-policy-enforcement", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install cyberful/cyberful audit-kubernetes-policy-enforcementInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .github/skills && cp -r skills-src/cyberful/builtin/skills/audit-kubernetes-policy-enforcement .github/skills/audit-kubernetes-policy-enforcement && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "audit-kubernetes-policy-enforcement" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/audit-kubernetes-policy-enforcement into .github/skills/audit-kubernetes-policy-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-kubernetes-policy-enforcement", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cyberful/cyberful audit-kubernetes-policy-enforcement --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cyberful/builtin/skills/audit-kubernetes-policy-enforcement .opencode/skills/audit-kubernetes-policy-enforcement && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "audit-kubernetes-policy-enforcement" agent skill from https://github.com/cyberful/cyberful/tree/main/cyberful/builtin/skills/audit-kubernetes-policy-enforcement into .opencode/skills/audit-kubernetes-policy-enforcement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audit-kubernetes-policy-enforcement", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
audit-kubernetes-policy-enforcement- GitHub stars
- 135
- Token cost
- ~610 tokens
- SKILL.md length
- 164 words
- Files
- 9 (incl. scripts, references, assets)
- Skills in repo
- 85
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence.
- ValidatingAdmissionPolicy
- SKILL.md covers Compare local artifacts and Prove enforcement
- Runs Python scripts from its folder
- Pod Security policy review
What it does
Audit Kubernetes Policy Enforcement is an agent skill from cyberful/cyberful. Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence. Use for Gatekeeper, Kyverno, ValidatingAdmissionPolicy, Conftest, or Pod Security policy review.
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/kubernetes-policy-campaign.example.json` and `assets/kubernetes-policy-campaign.schema.json`).
It sits in DevOps & Cloud, covering Container orchestration. It works with Kubernetes. The repository describes itself as: Cyberful is an open-source AI Red Team for discovering, exploiting, verifying, and remediating vulnerabilities. The licence is AGPL-3.0.
When your agent uses it
- ValidatingAdmissionPolicy
- Pod Security policy review
Example prompts
- “/audit-kubernetes-policy-enforcement”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ec598a6. 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
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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.
Context cost
Audit Kubernetes Policy Enforcement loads about 610 tokens when it runs, and up to ~996 if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 164 words of instructions outside code blocks.
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 passed
The automated check found no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from cyberful/cyberful at commit ec598a6, republished under its AGPL-3.0 licence (© cyberful). 164 words, ~610 tokens.
Download SKILL.mdSave it as
.claude/skills/audit-kubernetes-policy-enforcement/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- audit-kubernetes-policy-enforcement
- description
- Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence. Use for Gatekeeper, Kyverno, ValidatingAdmissionPolicy, Conftest, or Pod Security policy review.
- metadata.domain
- cloud-security
- metadata.subdomain
- kubernetes-policy
- metadata.triggers
- kubernetes policy enforcement audit, admission control review, kyverno policy audit, gatekeeper constraint review, pod security enforcement, conftest kubernetes
- metadata.tags
- kubernetes, admission-control, policy-as-code, conftest, kyverno, gatekeeper
Audit Kubernetes Policy Enforcement
Separate policy intent, policy source, admission wiring, namespace selectors, exceptions, failure mode, and admitted workload state. A passing local policy test proves only the supplied manifest/policy pair; it does not prove the cluster enforces the same version.
Compare local artifacts
Read references/kubernetes-policy-proof.md. For a bounded offline Conftest campaign, stage scripts/run_kubernetes_policy_campaign.py, assets/kubernetes-policy-campaign.example.json, and assets/kubernetes-policy-campaign.schema.json. The orchestrator confines and snapshots both manifest and policy trees; scope_reference attributes the externally authorized mission but never grants authority. It invokes only the trusted conftest command from an isolated working directory, blocks network syscalls including policy http.send, removes credential-bearing ambient state, and preserves bounded raw scan and version output described by assets/kubernetes-policy-evidence.schema.json.
Prove enforcement
Correlate local results with supplied admission configuration, policy revision, bindings, selectors, exclusions, service health, failure policy, and admitted-object evidence. Confirm a gap only when an in-scope workload can reach admission or runtime state outside the intended invariant; distinguish an untested manifest, a policy logic defect, a binding gap, and an operational outage.
© cyberful, AGPL-3.0. 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 8 other files (scripts, references, assets) in cyberful/builtin/skills/audit-kubernetes-policy-enforcement of cyberful/cyberful.
- SKILL.md
- agents/openai.yaml
- assets/kubernetes-policy-campaign.example.json
- assets/kubernetes-policy-campaign.schema.json
- assets/kubernetes-policy-evidence.schema.json
- references/kubernetes-policy-proof.md
- scripts/manifest.json
- scripts/run_kubernetes_policy_campaign.py
- tests/test_run_kubernetes_policy_campaign.py
Open the folder on GitHubat commit ec598a6
Compare with similar skills
Audit Kubernetes Policy Enforcement 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Audit Kubernetes Policy Enforcement this skillcyberful/cyberful | 135 | — | ~610 | Automated safety check: Pass | AGPL-3.0 | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| KubeSphere Multi-Tenant Managementkubesphere/kubesphere | 17k | — | ~3.1k | Automated safety check: Pass | Custom licence | |
| Sim Helmsimstudioai/sim | 30k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Helm Chart ScaffoldingCybereason-Public/owLSM | 280 | 13 repos | ~381 | Automated safety check: Pass | GPL-2.0 | |
| Mirrord Operatormetalbear-co/mirrord | 5.4k | 1 repos | ~4.6k | Automated safety check: Pass | MIT |
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Questions about Audit Kubernetes Policy Enforcement
What does Audit Kubernetes Policy Enforcement do?
Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence. Audit Kubernetes Policy Enforcement is an agent skill from cyberful/cyberful. Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence.
When should I use Audit Kubernetes Policy Enforcement?
Audit Kubernetes Policy Enforcement fits situations like: validatingAdmissionPolicy; pod Security policy review.
How do I install Audit Kubernetes Policy Enforcement in Claude Code?
Run `npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a claude-code`. Or copy the skill folder (cyberful/builtin/skills/audit-kubernetes-policy-enforcement in cyberful/cyberful) into .claude/skills/audit-kubernetes-policy-enforcement in your project. Claude Code loads it when a task matches its description.
How do I install Audit Kubernetes Policy Enforcement in Codex?
Run `npx skills add cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a codex`. Or copy the skill folder (cyberful/builtin/skills/audit-kubernetes-policy-enforcement in cyberful/cyberful) into .agents/skills/audit-kubernetes-policy-enforcement in your project. Codex loads it when a task matches its description.
Can I use Audit Kubernetes Policy Enforcement 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 cyberful/cyberful --skill audit-kubernetes-policy-enforcement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-kubernetes-policy-enforcement, .gemini/skills/audit-kubernetes-policy-enforcement, .github/skills/audit-kubernetes-policy-enforcement and .opencode/skills/audit-kubernetes-policy-enforcement in your project.
What does Audit Kubernetes Policy Enforcement need to run?
Going by SKILL.md and its folder, Audit Kubernetes Policy Enforcement needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Audit Kubernetes Policy Enforcement access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Audit Kubernetes Policy Enforcement safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Audit Kubernetes Policy Enforcement use?
Audit Kubernetes Policy Enforcement is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Audit Kubernetes Policy Enforcement use?
About 610 tokens (SKILL.md is roughly 2.4k 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 386 tokens, read only when the agent opens those files.
What are the alternatives to Audit Kubernetes Policy Enforcement?
Skills that share tags, products or a category with Audit Kubernetes Policy Enforcement: Kubeshark Installer (kubeshark/kubeshark, 12k stars), KubeSphere Multi-Tenant Management (kubesphere/kubesphere, 17k stars), Sim Helm (simstudioai/sim, 30k stars) and Helm Chart Scaffolding (Cybereason-Public/owLSM, 280 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Audit Kubernetes Policy Enforcement?
cyberful (a GitHub organization) maintains it in cyberful/cyberful, which has 135 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 24, 2026.
Source: cyberful/cyberful on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.