Grepai
yoanbernabeu/grepai
Semantic code search and call-graph tracing. An agent skill from yoanbernabeu/grepai.
Perform definitive call graph analysis to prove whether vulnerable functions are reachable from program entry points
$ npx skills add openshift-eng/ai-helpers --skill call-graph-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openshift-eng/ai-helpers call-graph-analysis --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/compliance/skills/call-graph-analysis .claude/skills/call-graph-analysis && 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 "call-graph-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/compliance/skills/call-graph-analysis into .claude/skills/call-graph-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-graph-analysis", 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/compliance/skills/call-graph-analysisType 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 call-graph-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openshift-eng/ai-helpers call-graph-analysis --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/compliance/skills/call-graph-analysis .agents/skills/call-graph-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "call-graph-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/compliance/skills/call-graph-analysis into .agents/skills/call-graph-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-graph-analysis", 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 call-graph-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openshift-eng/ai-helpers call-graph-analysis --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/compliance/skills/call-graph-analysis .cursor/skills/call-graph-analysis && 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 "call-graph-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/compliance/skills/call-graph-analysis into .cursor/skills/call-graph-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-graph-analysis", 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/compliance/skills/call-graph-analysis--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 call-graph-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openshift-eng/ai-helpers call-graph-analysis --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/compliance/skills/call-graph-analysis .gemini/skills/call-graph-analysis && 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 "call-graph-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/compliance/skills/call-graph-analysis into .gemini/skills/call-graph-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-graph-analysis", 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 call-graph-analysisInstalls 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 call-graph-analysis -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/compliance/skills/call-graph-analysis .github/skills/call-graph-analysis && 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 "call-graph-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/compliance/skills/call-graph-analysis into .github/skills/call-graph-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-graph-analysis", 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 call-graph-analysis -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 call-graph-analysis --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/compliance/skills/call-graph-analysis .opencode/skills/call-graph-analysis && 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 "call-graph-analysis" agent skill from https://github.com/openshift-eng/ai-helpers/tree/main/plugins/compliance/skills/call-graph-analysis into .opencode/skills/call-graph-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-graph-analysis", 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.
call-graph-analysisPerform definitive call graph analysis to prove whether vulnerable functions are reachable from program entry points
Call Graph Analysis is an agent skill from openshift-eng/ai-helpers. Perform definitive call graph analysis to prove whether vulnerable functions are reachable from program entry points
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Codebase onboarding. It works with Go. The repository describes itself as: Developer productivity tools for Claude Code & other AI assistants. The licence is Apache-2.0.
7 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:
gobrewapt-getFrom 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.
Call Graph Analysis loads about 3.1k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 930 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 noted patterns worth knowing about, such as sudo or a known installer.
on): `brew install graphviz` (macOS) or `sudo apt-get install graphviz` (Linux)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). 930 words, ~3,094 tokens.
.claude/skills/call-graph-analysis/SKILL.md (or your agent's skills folder).Provides highest-confidence vulnerability assessment by proving whether vulnerable functions can actually be reached during program execution.
Use this skill when:
govulncheck is unavailable or didn't find the CVEcallgraph: go install golang.org/x/tools/cmd/callgraph@latestdigraph: go install golang.org/x/tools/cmd/digraph@latestgo.mod filegraphviz (for visualization): brew install graphviz (macOS) or sudo apt-get install graphviz (Linux)sfdp or dot command (part of graphviz)<package-path>.<function-name>)vta) — passed via --algo from parent commandCVE_ID — used to construct the output directoryOUT_DIR (optional, default: ${AI_HELPERS_WORKSPACE:-.}/.work/compliance/analyze-cve/${CVE_ID}) — where artifacts are written; same workspace base as Phase 0.7's REPOS_BASE
- Always use
timeout -k 10— plaintimeoutsends SIGTERM butcallgraphcan ignore it when stuck in SSA construction or type resolution.-k 10sends SIGKILL after 10s grace, guaranteeing termination.- Never run
callgraphon./...for repos with more than ~50 packages. Target specific main packages (e.g../cmd/controller,./main.go) and let the tool pull in transitive deps automatically.- Always redirect output to a file (
> file 2>&1). Never pipe callgraph output to another command — if the reader closes, callgraph can hang on SIGPIPE.
--algo (default: vta).callgraph invocations use timeout -k 10 300 (5 minutes + 10s force-kill) to prevent hanging../cmd/controller), not ./.... The callgraph tool resolves transitive deps automatically — there is no need to include the entire repo.vta → rta → cha), then narrow scope further to a single binary entry point.# Check for callgraph
which callgraph || echo "callgraph not found - install with: go install golang.org/x/tools/cmd/callgraph@latest"
# Check for digraph
which digraph || echo "digraph not found - install with: go install golang.org/x/tools/cmd/digraph@latest"
# Optional: Check for graphviz
which sfdp || echo "graphviz not found - visual graphs won't be generated (optional)"Decision Point:
First, discover the main packages that serve as entry points:
# Find main packages
MAIN_PKGS=$(find . -name "main.go" -exec dirname {} \; | sort -u)
echo "Main packages: ${MAIN_PKGS}"Pick the most relevant main package for the analysis (typically the controller or server binary, not CLI tools or test helpers). If unsure, prefer the package that imports the vulnerable package's parent tree.
# Select exactly one TARGET_PKG before running callgraph
if [ -z "${TARGET_PKG:-}" ]; then
TARGET_PKG=$(printf '%s\n' ${MAIN_PKGS} | grep -E '(^|/)(cmd/)?(controller|manager|operator|server|main)(/|$)' | head -1)
[ -z "${TARGET_PKG}" ] && TARGET_PKG=$(printf '%s\n' ${MAIN_PKGS} | head -1)
fi
# Normalize to a package path callgraph accepts (./cmd/foo or .)
case "${TARGET_PKG}" in
.|./) TARGET_PKG="." ;;
*) TARGET_PKG="./${TARGET_PKG#./}" ;;
esac
if [ -z "${TARGET_PKG}" ] || [ "${TARGET_PKG}" = "./" ]; then
echo "ERROR: No main package found for call graph analysis"
exit 1
fi
echo "Selected TARGET_PKG=${TARGET_PKG}"ALGO="${USER_ALGO:-vta}"
OUT_DIR="${OUT_DIR:-${AI_HELPERS_WORKSPACE:-.}/.work/compliance/analyze-cve/${CVE_ID}}"
mkdir -p "${OUT_DIR}"
# TARGET_PKG is the specific main package (e.g. ./cmd/controller, .)
# NEVER use ./... — it causes VTA to explode on large repos
echo "Building call graph: algo=${ALGO}, target=${TARGET_PKG}"
timeout -k 10 300 env CGO_ENABLED=0 callgraph -algo "${ALGO}" -format=digraph "${TARGET_PKG}" > "${OUT_DIR}/callgraph.txt" 2>&1
CG_EXIT=$?
echo "callgraph exit: ${CG_EXIT}, lines: $(wc -l < "${OUT_DIR}/callgraph.txt")"Progressive fallback if the command times out or fails:
# Fallback 1: faster algorithm
if [ $CG_EXIT -eq 124 ] || [ $CG_EXIT -eq 137 ]; then
echo "⚠ ${ALGO} timed out — falling back to rta"
timeout -k 10 300 env CGO_ENABLED=0 callgraph -algo rta -format=digraph "${TARGET_PKG}" > "${OUT_DIR}/callgraph.txt" 2>&1
CG_EXIT=$?
fi
# Fallback 2: fastest algorithm
if [ $CG_EXIT -eq 124 ] || [ $CG_EXIT -eq 137 ]; then
echo "⚠ rta timed out — falling back to cha"
timeout -k 10 300 env CGO_ENABLED=0 callgraph -algo cha -format=digraph "${TARGET_PKG}" > "${OUT_DIR}/callgraph.txt" 2>&1
CG_EXIT=$?
fi
if [ $CG_EXIT -eq 124 ] || [ $CG_EXIT -eq 137 ]; then
echo "✗ All algorithms timed out — call graph analysis skipped"
fiError Handling:
vta → rta → cha, all on the same target packageOutput: ${OUT_DIR}/callgraph.txt containing the call graph rooted at the target binary
Extract the vulnerable function signature from CVE details.
# Search for exact function in the cached call graph
VULN_FUNC="<package-path>.<vulnerable-function>"
cat "${OUT_DIR}/callgraph.txt" | digraph nodes | grep "${VULN_FUNC}$"Decision Point:
TARGET_PKG graph → Continue to Step 4MAIN_PKGS (different TARGET_PKG) before concludingSearch for paths from main entry points to the vulnerable function.
# Find path from main() to vulnerable function using cached call graph
ENTRY_POINT="command-line-arguments.main"
VULN_FUNC="<package-path>.<vulnerable-function>"
cat "${OUT_DIR}/callgraph.txt" | \
digraph somepath "${ENTRY_POINT}" "${VULN_FUNC}"Alternative Entry Points to Check:
command-line-arguments.main (main program)*_test.go test functions*.initInterpretation:
Output: Text representation of call chain or empty result
If path exists, generate visual representation:
# Generate DOT format from cached call graph
cat "${OUT_DIR}/callgraph.txt" | \
digraph somepath "${ENTRY_POINT}" "${VULN_FUNC}" | \
digraph to dot > "${OUT_DIR}/callgraph.dot"
# Convert to SVG (if graphviz available)
if which sfdp > /dev/null; then
sfdp -Tsvg -o"${OUT_DIR}/callgraph.svg" -Goverlap=scale "${OUT_DIR}/callgraph.dot"
echo "Visual graph saved to: ${OUT_DIR}/callgraph.svg"
else
echo "Graphviz not available - DOT file saved to: ${OUT_DIR}/callgraph.dot"
fiOutput Files:
${OUT_DIR}/callgraph.dot - DOT notation of call path${OUT_DIR}/callgraph.svg - Visual graph (if graphviz available)Extract human-readable call chain from digraph output:
# Get call chain as text from cached call graph
cat "${OUT_DIR}/callgraph.txt" | \
digraph somepath "${ENTRY_POINT}" "${VULN_FUNC}" | \
digraph to dot | \
grep " -> " | \
sed 's/"//g' | \
sed 's/;//g'Example Output:
command-line-arguments.main -> <package-path>.Handler
<package-path>.Handler -> <package-path>.ProcessFunction
<package-path>.ProcessFunction -> <vulnerable-package>.<vulnerable-function>Format for Report:
Execution Path Found:
main → Handler → ProcessFunction → <vulnerable-function> (VULNERABLE)HIGH RISK:
MEDIUM RISK:
LOW RISK:
Return structured result to parent analysis:
{
"method": "call-graph-reachability",
"algorithm": "vta",
"vulnerable_function": "<package-path>.<vulnerable-function>",
"found_in_graph": true,
"reachable_from_main": true,
"call_chain": "main → Handler → ProcessFunction → <vulnerable-function>",
"risk_level": "HIGH",
"evidence": {
"callgraph_file": "${OUT_DIR}/callgraph.txt",
"dot_file": "${OUT_DIR}/callgraph.dot",
"svg_file": "${OUT_DIR}/callgraph.svg"
}
}vta → rta → cha)./... as scope — always target a specific main packagecommand-line-arguments.main not found → Look for other entry points# Setup
CVE_ID="CVE-YYYY-NNNNN"
OUT_DIR="${AI_HELPERS_WORKSPACE:-.}/.work/compliance/analyze-cve/${CVE_ID}"
mkdir -p "${OUT_DIR}"
# Step 1: Build call graph targeting a specific main package
timeout -k 10 300 env CGO_ENABLED=0 callgraph -algo vta -format=digraph ./cmd/controller > "${OUT_DIR}/callgraph.txt" 2>&1
# Step 2: Check if function is called
digraph nodes < "${OUT_DIR}/callgraph.txt" | grep "<package-path>.<vulnerable-function>$"
# Step 3: Find path from main
digraph somepath command-line-arguments.main "<package-path>.<vulnerable-function>" < "${OUT_DIR}/callgraph.txt"
# Step 4: Generate visual graph (if graphviz available)
digraph somepath command-line-arguments.main "<package-path>.<vulnerable-function>" < "${OUT_DIR}/callgraph.txt" | \
digraph to dot | sfdp -Tsvg -o"${OUT_DIR}/callgraph.svg"
# Result: HIGH RISK — reachable path foundThis skill is called from Method 5 of the codebase-impact-analysis skill.
When to Invoke:
go.mod (see codebase-impact-analysis Method 5) — not just for "highest confidence"Return to Parent:
© 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
Just SKILL.md in plugins/compliance/skills/call-graph-analysis of openshift-eng/ai-helpers.
Open the folder on GitHubat commit a627176
Call Graph Analysis 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 |
|---|---|---|---|---|---|---|
| Call Graph Analysis this skillopenshift-eng/ai-helpers | 120 | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | |
| Grepaiyoanbernabeu/grepai | 1.9k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Releaseyoanbernabeu/grepai | 1.9k | — | ~918 | Automated safety check: Pass | MIT | |
| Gograph Go Repository Intelligenceozgurcd/gograph | 227 | — | ~4.8k | Automated safety check: Notes | MIT | |
| NGINX Ingress Controller Structurenginx/kubernetes-ingress | 5.1k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Golang Goplscontext-labs/whip | 1.1k | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
yoanbernabeu/grepai
Semantic code search and call-graph tracing. An agent skill from yoanbernabeu/grepai.
yoanbernabeu/grepai
Create a new release for grepai. An agent skill from yoanbernabeu/grepai.
ozgurcd/gograph
Gives an agent working in a Go codebase a structural view through a local MCP server: call graphs, blast-radius and impact analysis, and bounded first-call exploration.
nginx/kubernetes-ingress
Maps the NGINX Kubernetes Ingress Controller codebase: repository layout, architectural layers, layer-crossing rules and which files are generated.
context-labs/whip
Golang semantic code intelligence via gopls — go-to-definition, references, call hierarchy, symbols, diagnostics, rename, refactors.
Egonex-AI/Understand-Anything
Answers questions about a codebase by searching a prebuilt knowledge graph of its files, functions, classes and dependencies, not by rereading every source file.
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
Perform definitive call graph analysis to prove whether vulnerable functions are reachable from program entry points. Call Graph Analysis is an agent skill from openshift-eng/ai-helpers.
Call Graph Analysis fits situations like: tasks that involve Codebase onboarding.
Run `npx skills add openshift-eng/ai-helpers --skill call-graph-analysis -a claude-code`. Or copy the skill folder (plugins/compliance/skills/call-graph-analysis in openshift-eng/ai-helpers) into .claude/skills/call-graph-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openshift-eng/ai-helpers --skill call-graph-analysis -a codex`. Or copy the skill folder (plugins/compliance/skills/call-graph-analysis in openshift-eng/ai-helpers) into .agents/skills/call-graph-analysis 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 call-graph-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/call-graph-analysis, .gemini/skills/call-graph-analysis, .github/skills/call-graph-analysis and .opencode/skills/call-graph-analysis in your project.
Going by SKILL.md and its folder, Call Graph Analysis needs the command-line tools its instructions call (go, brew and apt-get).
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 notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Call Graph Analysis 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 3.1k tokens (SKILL.md is roughly 12k 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 Call Graph Analysis: Grepai (yoanbernabeu/grepai, 1.9k stars), Release (yoanbernabeu/grepai, 1.9k stars), Gograph Go Repository Intelligence (ozgurcd/gograph, 227 stars) and NGINX Ingress Controller Structure (nginx/kubernetes-ingress, 5.1k 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.