Openshift
sickn33/agentic-awesome-skills
Manage Red Hat OpenShift clusters and deployments. An agent skill from sickn33/agentic-awesome-skills.
Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs.
$ npx skills add openshift-eng/ai-helpers --skill investigate-ci-reliability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers investigate-ci-reliability --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/ci-extras/skills/investigate-ci-reliability .claude/skills/investigate-ci-reliability && 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 "investigate-ci-reliability" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci-extras/skills/investigate-ci-reliability into .claude/skills/investigate-ci-reliability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investigate-ci-reliability", 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/ci-extras/skills/investigate-ci-reliabilityType 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 investigate-ci-reliability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers investigate-ci-reliability --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/ci-extras/skills/investigate-ci-reliability .agents/skills/investigate-ci-reliability && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "investigate-ci-reliability" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci-extras/skills/investigate-ci-reliability into .agents/skills/investigate-ci-reliability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investigate-ci-reliability", 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 investigate-ci-reliability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers investigate-ci-reliability --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/ci-extras/skills/investigate-ci-reliability .cursor/skills/investigate-ci-reliability && 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 "investigate-ci-reliability" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci-extras/skills/investigate-ci-reliability into .cursor/skills/investigate-ci-reliability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investigate-ci-reliability", 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/ci-extras/skills/investigate-ci-reliability--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 investigate-ci-reliability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers investigate-ci-reliability --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/ci-extras/skills/investigate-ci-reliability .gemini/skills/investigate-ci-reliability && 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 "investigate-ci-reliability" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci-extras/skills/investigate-ci-reliability into .gemini/skills/investigate-ci-reliability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investigate-ci-reliability", 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 investigate-ci-reliabilityInstalls 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 investigate-ci-reliability -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/ci-extras/skills/investigate-ci-reliability .github/skills/investigate-ci-reliability && 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 "investigate-ci-reliability" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci-extras/skills/investigate-ci-reliability into .github/skills/investigate-ci-reliability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investigate-ci-reliability", 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 investigate-ci-reliability -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 investigate-ci-reliability --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/ci-extras/skills/investigate-ci-reliability .opencode/skills/investigate-ci-reliability && 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 "investigate-ci-reliability" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/ci-extras/skills/investigate-ci-reliability into .opencode/skills/investigate-ci-reliability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "investigate-ci-reliability", 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.
investigate-ci-reliabilityFind and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs.
Investigate CI Reliability is an agent skill from openshift-eng/ai-helpers. Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs. Use when asked to investigate reliability across a bounded CI run population and deliver proven fixes.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `references/artifact-helpers.md`, `references/collection.md` and `references/evidence-contract.md`).
The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.
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.
Ships 6 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Investigate CI Reliability loads about 1.9k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 865 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); the scripts in this folder are not scanned.
The full file from openshift-eng/ai-helpers at commit a627176, republished under its Apache-2.0 licence (© openshift-eng). 865 words, ~1,861 tokens.
.claude/skills/investigate-ci-reliability/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Investigate actual failed job runs, demonstrate the underlying defects, and deliver
an issues/ directory containing only independently validated, currently applicable
fixes. This package contains its own collectors, review contract, and exporter.
Use the prow-job-analysis skill from the ci plugin for failed-job debugging;
no prior investigation repository is required.
release: required OpenShift release, inferred from the request when stated.Presubmits population, not implicitly restricted to merged PRs or that release.max-issues: 10 distinct validated mechanisms, a ceiling rather than a quota.max-candidates: 100; time-budget-minutes: 120; max-agents: 4.
These bound exploration, including review. Honor smaller user limits.~/tmp/ci-reliability/<UTC timestamp>
and its validated/ subdirectory. Scratch defaults to ~/tmp/ci-reliability.
Keep raw downloads bounded and separate from curated handoff evidence.Invoke /investigate-ci-reliability 5.1 --max-issues 10 directly. The skill accepts
these inputs in natural language or flags. Resolve bundled script paths relative to this SKILL.md, regardless of cwd.
The bundled scripts need Python 3.10+ and public HTTPS access. JUnit parsing requires
Expat 2.7.2+ in that Python runtime. The investigation also requires the
prow-job-analysis skill from the ci plugin.
Read collection controls for exact collector flags, verified blocking selection, pagination behavior, and completeness limits.
python3 scripts/reliability.py init --workspace WORK --max-issues 10
python3 scripts/collect_runs.py --release 5.1 --output WORKHere WORK is the chosen workspace, not a literal required directory name. Run commands
using the resolved script paths. The default collector includes successful controls,
running jobs, and every failure code; preserve these distinctions in all rate calculations.
The manifest records the frozen interval and any truncation or missing evidence.
Group failures by job, phase, and recurring signature. Use the selected release and presubmit populations as independent cohorts and deduplicate shared run IDs. Ordinary unmerged PR defects are not automatically reliability issues: establish that a defect in reusable infrastructure, product recovery, or test behavior causes the failures. A selected PR SHA does not freeze base revision, batch membership, configuration, or images.
Invoke $prow-job-analysis for every failed Prow job being investigated, including
aggregate component jobs. Provide the exact run URL, frozen scope, and selected scratch
location. Follow that skill's metadata, artifact, OS-evidence, and domain-specific
investigation procedure. If it is unavailable, report the missing skill dependency;
do not substitute a second debugging workflow here.
Use the bundled artifact helpers for bounded acquisition,
caching, and retained evidence. Preserve the chosen scratch location and budgets when
invoking prow-job-analysis. The proof-review stage below determines whether the resulting
causal finding is ready for a validated handoff.
For aggregated jobs, retain the parent verdict and follow recorded component URLs. Verify which children belong to the tested payload versus baseline/control cohorts. Investigate causal component failures and sample/discovery shortfalls. Unavailable children are explicit coverage gaps. Parent retries sharing children are not independent failures.
If delegation is available, assign disjoint candidates and reserve independent review capacity
within max-agents. Give each worker the frozen scope, shared budgets, scratch location,
the requirement to use prow-job-analysis, and the evidence contract. Otherwise investigate serially and
request a separate review context before promotion; self-review cannot satisfy the gate.
Do not change the agent installation's concurrency configuration.
Stop new discovery when the validated ceiling, candidate ceiling, or elapsed time budget
is reached. Finish review and export within the remaining budget; export fewer issues when
proof is incomplete. Do not lower the standard to fill max-issues.
Write one candidate JSON per mechanism under WORK/candidates/ using the
evidence contract. Curate text artifacts under
WORK/evidence/ with source URLs, SHA256 hashes, and exact line ranges. Distinguish
observed cofailures from sole blockers; source defects can be demonstrated without
claiming every matching run would recover. A timeout, quota rejection, or hypothesis is
not yet a demonstrated incorrect behavior with a justified fix.
Perform the independent proof-review stage in a separate
reviewer context. Give the reviewer the raw evidence, candidate, and contract. Require
counterarguments, current-fix verification, and the exact scope of the proposed repair.
A later candidate edit invalidates its review digest. Already-fixed incidents and unresolved
causes stay outside issues/, even when their historical impact is large.
python3 scripts/reliability.py validate --workspace WORK
python3 scripts/reliability.py publish --workspace WORK --output WORK/validatedThe exporter requires matching investigator and independent PROVEN_FIX verdicts,
valid evidence hashes/ranges, and distinct investigator/reviewer identities. It deduplicates
by mechanism, ranks by priority, and enforces max-issues. It checks the evidence contract,
not the truth of an agent's claim; substantive review remains essential.
Output is a fresh, portable snapshot:
issues/<slug>/README.md: impact, root cause, owner, source state, proposed change,
acceptance criteria, review reasoning, limits, and linked retained evidence.index.html and README.md: ranked validated handoffs.manifest.json: limits and published issue inventory.unresolved.json: rejected, unresolved, already-fixed, duplicate, unreviewed, and
validated-over-limit records; excluded from the fix directory.Publishing refuses an existing destination to protect hand edits and prevent stale approvals from surviving a new run. Choose a new snapshot path to publish again. Report the actual validated count and collection/proof gaps. Collection and export are local/read-only with respect to CI: opening external issues, triggering jobs, or implementing fixes are separate user requests.
© 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 10 other files (scripts, references) in plugins/ci-extras/skills/investigate-ci-reliability of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
Investigate CI Reliability 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 |
|---|---|---|---|---|---|---|
| Investigate CI Reliability this skillopenshift-eng/ai-helpers | 120 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Openshiftsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| ActionsJetBrains/intellij-community | 21k | — | ~341 | Automated safety check: Pass | Custom licence | |
| Root Cause Investigationgarrytan/gstack | 136k | — | ~12k | Automated safety check: Notes | MIT | |
| Osint Investigationaffaan-m/ECC | 276k | — | ~5.7k | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Laravel Actionscoollabsio/coolify | 63k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
sickn33/agentic-awesome-skills
Manage Red Hat OpenShift clusters and deployments. An agent skill from sickn33/agentic-awesome-skills.
JetBrains/intellij-community
Implement or change IntelliJ AnAction actions and registrations.
garrytan/gstack
Debugs in four phases (investigate, analyze, hypothesize, implement) under one rule: no fix is made until the root cause is found.
affaan-m/ECC
Sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources.
coollabsio/coolify
Build, refactor, and troubleshoot Laravel Actions using lorisleiva/laravel-actions.
BuilderIO/agent-native
How to create and run agent actions. An agent skill from BuilderIO/agent-native.
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
openshift-eng/ai-helpers
State management for agentic payload triage actions — you must use this skill whenever reading or writing the payload results YAML file
Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs. Investigate CI Reliability is an agent skill from openshift-eng/ai-helpers. Find and independently validate actionable reliability defects across OpenShift release jobs and presubmits, then export portable issue handoffs.
Investigate CI Reliability fits situations like: asked to investigate reliability across a bounded CI run population and deliver proven fixes.
Run `npx skills add openshift-eng/ai-helpers --skill investigate-ci-reliability -a claude-code`. Or copy the skill folder (plugins/ci-extras/skills/investigate-ci-reliability in openshift-eng/ai-helpers) into .claude/skills/investigate-ci-reliability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openshift-eng/ai-helpers --skill investigate-ci-reliability -a codex`. Or copy the skill folder (plugins/ci-extras/skills/investigate-ci-reliability in openshift-eng/ai-helpers) into .agents/skills/investigate-ci-reliability 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 investigate-ci-reliability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/investigate-ci-reliability, .gemini/skills/investigate-ci-reliability, .github/skills/investigate-ci-reliability and .opencode/skills/investigate-ci-reliability in your project.
Going by SKILL.md and its folder, Investigate CI Reliability needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
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.
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.
Investigate CI Reliability 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 1.9k tokens (SKILL.md is roughly 7.4k 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 5.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Investigate CI Reliability: Openshift (sickn33/agentic-awesome-skills, 47k stars), Actions (JetBrains/intellij-community, 21k stars), Root Cause Investigation (garrytan/gstack, 136k stars) and Osint Investigation (affaan-m/ECC, 276k 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.