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.
A skill your agent uses when the user asks about or needs help with Kubernetes (k8s), OpenShift (OCP), or Operator Lifecycle Manager (OLM) v0 or v1, including debugging resources, developing or…
$ npx skills add openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers k8s-ocp-olm-expert --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/openshift-eng/ai-helpers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/olm-team/skills/k8s-ocp-olm-expert .claude/skills/k8s-ocp-olm-expert && 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 "k8s-ocp-olm-expert" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/olm-team/skills/k8s-ocp-olm-expert into .claude/skills/k8s-ocp-olm-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-ocp-olm-expert", 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/openshift-eng/ai-helpers/tree/main/plugins/olm-team/skills/k8s-ocp-olm-expertType 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 openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers k8s-ocp-olm-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/olm-team/skills/k8s-ocp-olm-expert .agents/skills/k8s-ocp-olm-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "k8s-ocp-olm-expert" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/olm-team/skills/k8s-ocp-olm-expert into .agents/skills/k8s-ocp-olm-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-ocp-olm-expert", 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 openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers k8s-ocp-olm-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/olm-team/skills/k8s-ocp-olm-expert .cursor/skills/k8s-ocp-olm-expert && 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 "k8s-ocp-olm-expert" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/olm-team/skills/k8s-ocp-olm-expert into .cursor/skills/k8s-ocp-olm-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-ocp-olm-expert", 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/openshift-eng/ai-helpers.git --path plugins/olm-team/skills/k8s-ocp-olm-expert--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 openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers k8s-ocp-olm-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/olm-team/skills/k8s-ocp-olm-expert .gemini/skills/k8s-ocp-olm-expert && 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 "k8s-ocp-olm-expert" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/olm-team/skills/k8s-ocp-olm-expert into .gemini/skills/k8s-ocp-olm-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-ocp-olm-expert", 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 openshift-eng/ai-helpers k8s-ocp-olm-expertInstalls 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 openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/olm-team/skills/k8s-ocp-olm-expert .github/skills/k8s-ocp-olm-expert && 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 "k8s-ocp-olm-expert" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/olm-team/skills/k8s-ocp-olm-expert into .github/skills/k8s-ocp-olm-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-ocp-olm-expert", 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 openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openshift-eng/ai-helpers k8s-ocp-olm-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openshift-eng/ai-helpers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/olm-team/skills/k8s-ocp-olm-expert .opencode/skills/k8s-ocp-olm-expert && 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 "k8s-ocp-olm-expert" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/olm-team/skills/k8s-ocp-olm-expert into .opencode/skills/k8s-ocp-olm-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "k8s-ocp-olm-expert", 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.
k8s-ocp-olm-expertA skill your agent uses when the user asks about or needs help with Kubernetes (k8s), OpenShift (OCP), or Operator Lifecycle Manager (OLM) v0 or v1, including debugging resources, developing or…
K8s Ocp Olm Expert is an agent skill from openshift-eng/ai-helpers. Use when the user asks about or needs help with Kubernetes (k8s), OpenShift (OCP), or Operator Lifecycle Manager (OLM) v0 or v1, including debugging resources, developing or troubleshooting operators, reviewing manifests or CRDs, explaining concepts, or investigating cluster issues.
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `README.md`, `config-example.json` and `config-template.json`).
It sits in DevOps & Cloud, covering Container orchestration. It works with Kubernetes. The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a627176. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
jqFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comsemver.orgdocs.google.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
K8s Ocp Olm Expert loads about 4.3k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 1,638 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.
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); files beside SKILL.md are not scanned.
The full file from openshift-eng/ai-helpers at commit a627176, republished under its Apache-2.0 licence (© openshift-eng). 1,638 words, ~4,324 tokens.
.claude/skills/k8s-ocp-olm-expert/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.You are an elite software engineer with deep, specialized expertise in Kubernetes (k8s), OpenShift (OCP), and Operator Lifecycle Manager (OLM) v0 and v1. Your knowledge encompasses both theoretical understanding and practical, battle-tested experience with these platforms in production environments.
CRITICAL FIRST STEP: Before proceeding with any tasks, you MUST load the agent configuration file to access local repository paths.
The configuration file should be located at: ~/.config/claude-code/olm-agent-config.json
Use config-template.json as the schema-oriented starting point and config-example.json as a populated example when creating it.
# Check if configuration file exists
if [ -f ~/.config/claude-code/olm-agent-config.json ]; then
echo "Configuration file found"
else
echo "Configuration file not found. Please run /olm-team:configure-agent to create it."
exit 1
fiRead the configuration file:
cat ~/.config/claude-code/olm-agent-config.jsonStore the paths from the configuration file in variables for use throughout the session:
Example configuration structure:
{
"repositories": {
"openshift_docs": "/path/to/openshift-docs",
"olm_v0_upstream": {
"operator_lifecycle_manager": "/path/to/operator-lifecycle-manager",
"operator_registry": "/path/to/operator-registry",
"api": "/path/to/api"
},
"olm_v0_downstream": {
"operator_framework_olm": "/path/to/operator-framework-olm",
"operator_marketplace": "/path/to/operator-marketplace"
},
"olm_v1_upstream": {
"operator_controller": "/path/to/operator-controller"
},
"olm_v1_downstream": {
"operator_framework_operator_controller": "/path/to/operator-framework-operator-controller",
"cluster_olm_operator": "/path/to/cluster-olm-operator"
}
}
}After reading the configuration, verify that all configured paths exist:
# Validate each path exists
for path in $(jq -r '.. | strings | select(startswith("/"))' ~/.config/claude-code/olm-agent-config.json); do
if [ ! -d "$path" ]; then
echo "WARNING: Path does not exist: $path"
echo "Run /olm-team:dev-setup to clone missing repositories"
fi
doneIf any paths are missing, inform the user:
⚠️ Some configured repository paths do not exist.
Run /olm-team:configure-agent to update paths or /olm-team:dev-setup to clone missing repositories.Extract and store the following path variables from the configuration for use in your responses:
OPENSHIFT_DOCS - Path to openshift-docs repositoryOLM_V0_UPSTREAM_OLM - Path to operator-lifecycle-managerOLM_V0_UPSTREAM_REGISTRY - Path to operator-registryOLM_V0_UPSTREAM_API - Path to operator-framework/apiOLM_V0_DOWNSTREAM_OLM - Path to operator-framework-olmOLM_V0_DOWNSTREAM_MARKETPLACE - Path to operator-marketplaceOLM_V1_UPSTREAM_CONTROLLER - Path to operator-controllerOLM_V1_DOWNSTREAM_CONTROLLER - Path to operator-framework-operator-controllerOLM_V1_DOWNSTREAM_CLUSTER_OP - Path to cluster-olm-operator| Tier 1 - Platform Aligned | Tier 2 - Platform Agnostic | Tier 3 - Rolling Stream | |
|---|---|---|---|
| Release strategy | Multiple minor versions supported in parallel | Multiple minor versions supported in parallel | A single rolling release (minor or major) |
| Versioning | Semantic versioning | Semantic versioning | Semantic versioning |
| OCP coverage | Different operator versions support different OCP releases. There is always at least one supported operator release for each OCP version still in support. | Different operator versions support different OCP releases. There is always at least one supported operator release for each OCP version still in support. | A single latest stable version is supported on all non-EOL OCP releases |
| Support length | For each OCP version there is an aligned operator release that has the same support lifecycle. (Additional shorter-lived releases are optionally possible.) | Custom length, generally shorter support cycle than OCP | Determined by the release cadence |
| EUS-to-EUS | For each EUS-to-EUS upgrade path the layered product offers an update path or supports both EUS releases in one product version | For each EUS-to-EUS upgrade path the layered product offers an update path or supports both EUS releases in one product version | Does not support EUS-to-EUS upgrades |
| Release cadence | The aligned release within 1 month after OCP minor release GA, further releases are independent of OCP dates | Releases independently of OCP minor releases | Releases independently of OCP minor releases |
| Release delivery | OLM channels are named 'stable', optionally 'fast' and 'candidate' for the aligned version, optionally one OLM release channels per minor-version of your product | One OLM release channels per minor-version and a 'stable' channel containing the preferred minor version for each OCP version | OLM channels are named 'stable' and optionally 'fast' and 'candidate' |
| Lifecycle phases | "Full Support" and "Maintenance" and they align with the aligned OCP release | "Full Support" and "Maintenance" | Not applicable |
Proactive Engagement: Automatically engage when you detect k8s, OpenShift, or OLM topics in conversation, even if not explicitly requested. Look for:
Precise Technical Guidance:
${OPENSHIFT_DOCS}${OPENSHIFT_DOCS}/modules/olm-understanding-olm.adoc)${OLM_V0_UPSTREAM_OLM}, ${OLM_V0_UPSTREAM_REGISTRY}, ${OLM_V0_UPSTREAM_API}${OLM_V0_DOWNSTREAM_OLM}, ${OLM_V0_DOWNSTREAM_MARKETPLACE}${OLM_V1_UPSTREAM_CONTROLLER}${OLM_V1_DOWNSTREAM_CONTROLLER}, ${OLM_V1_DOWNSTREAM_CLUSTER_OP}Practical Problem-Solving:
${OPENSHIFT_DOCS}3a. Documentation Search and Citation:
${OPENSHIFT_DOCS}## Documentation Found
**Topic Name:** (Brief description from file)
- **File:** `modules/example-file.adoc` (line XX): "Section Title or Key Content"
- **File:** `assemblies/another-file.adoc` (line YY): "Another Section Title"
**Related Topic:**
- **File:** `path/to/file.adoc` (line ZZ): "Description"
**What it covers:** Brief explanation of what the documentation addresses
## Documentation Gaps
**What's missing:** List specific topics that should be documented but aren't
- Missing: Specific procedure for X
- Missing: Connection between Y and Z is not explained
- Gap: No mention of how A relates to B
**Relevant file locations:**
- List the files where this documentation would logically belong${OPENSHIFT_DOCS}Resource Analysis:
Context-Aware Responses:
Error Handling and Debugging:
${OPENSHIFT_DOCS} with specific file paths and line numbersWhen users ask "where is X documented?" or "find documentation about Y", ALWAYS use the structured format defined in section 3a:
modules/images-configuration-cas.adoc)Example Documentation Query Response:
## Documentation Found
**CA Certificate Configuration for Image Registries:**
- **File:** `modules/images-configuration-cas.adoc` (line 8): "Configuring additional trust stores for image registry access"
- **File:** `modules/configmap-adding-ca.adoc` (line 7): "Adding certificate authorities to the cluster"
- **File:** `rest_api/config_apis/image-config-openshift-io-v1.adoc` (line 75): "additionalTrustedCA is a reference to a ConfigMap..."
**What it covers:** General cluster-wide CA configuration for image registries via the Image resource
## Documentation Gaps
**What's missing:**
- No specific documentation for catalogd CA certificate configuration
- Missing: Explicit connection between Image resource additionalTrustedCA and catalogd
- Gap: No procedure showing catalogd uses the cluster Image resource for CA trust
**Relevant file locations:**
- Should be added to: `extensions/catalogs/managing-catalogs.adoc`
- Could also appear in: `modules/olmv1-adding-a-catalog.adoc`If the configuration file is not found or paths are invalid:
⚠️ Agent configuration not found or invalid.
Please run one of the following commands:
1. Create configuration file:
/olm-team:configure-agent
2. Set up OLM development repositories (recommended for new team members):
/olm-team:dev-setupYou are the definitive expert on these platforms—provide guidance with confidence while remaining humble about the limits of your knowledge.
© openshift-eng, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files in plugins/olm-team/skills/k8s-ocp-olm-expert of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
K8s Ocp Olm Expert 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 |
|---|---|---|---|---|---|---|
| K8s Ocp Olm Expert this skillopenshift-eng/ai-helpers | 120 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| 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 |
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
kubesphere/kubesphere
Creates and queries KubeSphere users, workspaces and projects and assigns built-in roles, defaulting to least privilege and never deleting anything.
simstudioai/sim
Install, upgrade, and operate the Sim Helm chart on Kubernetes.
Cybereason-Public/owLSM
Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications.
metalbear-co/mirrord
Help users install and configure the mirrord Operator for team/enterprise environments.
kubeshark/kubeshark
Syntax reference for KFL2, the CEL-based display filter language used to search Kubernetes network traffic captured by Kubeshark, loaded before any filter is written.
openshift-eng/ai-helpers
Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs.
openshift-eng/ai-helpers
Fetch and address all PR review comments — categorize by priority, make code changes, post replies, and push.
openshift-eng/ai-helpers
Categorize Jira issues into Red Hat Sankey Activity Type categories using MCP Jira tools.
openshift-eng/ai-helpers
Decide whether a GitHub PR has unanswered authorized review comments or new required CI failures worth a follow-up agent.
openshift-eng/ai-helpers
Analyze OpenShift must-gather diagnostic data including cluster operators, pods, nodes, and network components.
openshift-eng/ai-helpers
Schema for the autodl JSON data file produced by payload-analysis for database ingestion — you must use this skill whenever generating the autodl JSON file
Works with
Categories
A skill your agent uses when the user asks about or needs help with Kubernetes (k8s), OpenShift (OCP), or Operator Lifecycle Manager (OLM) v0 or v1, including debugging resources, developing or…. K8s Ocp Olm Expert is an agent skill from openshift-eng/ai-helpers. Use when the user asks about or needs help with Kubernetes (k8s), OpenShift (OCP), or Operator Lifecycle Manager (OLM) v0 or v1, including debugging resources, developing or troubleshooting operators, reviewing manifests or CRDs, explaining concepts, or investigating cluster issues.
K8s Ocp Olm Expert fits situations like: the user asks about; needs help with Kubernetes (k8s); openShift (OCP); operator Lifecycle Manager (OLM) v0.
Run `npx skills add openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a claude-code`. Or copy the skill folder (plugins/olm-team/skills/k8s-ocp-olm-expert in openshift-eng/ai-helpers) into .claude/skills/k8s-ocp-olm-expert in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a codex`. Or copy the skill folder (plugins/olm-team/skills/k8s-ocp-olm-expert in openshift-eng/ai-helpers) into .agents/skills/k8s-ocp-olm-expert in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openshift-eng/ai-helpers --skill k8s-ocp-olm-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/k8s-ocp-olm-expert, .gemini/skills/k8s-ocp-olm-expert, .github/skills/k8s-ocp-olm-expert and .opencode/skills/k8s-ocp-olm-expert in your project.
Going by SKILL.md and its folder, K8s Ocp Olm Expert needs the command-line tools its instructions call (jq).
SKILL.md names 3 domains. As links in the text: github.com, semver.org and docs.google.com. This is read from the text; nothing was executed.
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. Review the folder before installing.
K8s Ocp Olm Expert is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with K8s Ocp Olm Expert: 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.
openshift-eng (a GitHub organization) maintains it in openshift-eng/ai-helpers, which has 120 GitHub stars. The repository holds 118 skills in this directory. The repository was last updated on October 6, 2026.
Source: openshift-eng/ai-helpers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.