github-configure-ci-workflows

A workflow editor for GitHub Actions, the service that runs automated build and deployment jobs in GitHub repositories. It connects those workflows to JFrog Artifactory, a service for storing packages and build files.

In plain words
What is it for?
Configuring npm, Maven, pip, Go, Docker, or Helm projects in GitHub repositories to use JFrog during continuous integration and delivery.
Why use it?
It updates or creates workflows so dependencies can come from Artifactory and build outputs can be uploaded there.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jfrog/ai-agent-examples/github-configure-ci-workflows
Any agent
npx skills add jfrog/ai-agent-examples --skill github-configure-ci-workflows
Clone the repo
git clone --depth 1 https://github.com/jfrog/ai-agent-examples

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,599 The whole file, excluding the scripts and references it only reads on demand.
Security scan F 4 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00067 $0.01599
Opus 5 $0.00034 $0.00800
Sonnet 5 $0.00013 $0.00320
Haiku 4.5 $0.00007 $0.00160

Measured 2d ago against content hash caf69fc3ff2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade F, and why

github-configure-ci-workflows scanned grade F with 4 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo mv jf /usr/local/bin/jf

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fL https://install-cli.jfrog.io | sh

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

cd / && rm -rf "$TMPDIR"

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| `helm push` / `curl -T` | `jf rt upload "*.tgz" "{project-key}-helm-local/"` |
onboarding-workflows/skills/github-configure-ci-workflows/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Configure CI Workflows

Modifies GitHub Actions workflow files in remote GitHub repositories to integrate with JFrog Artifactory for dependency resolution and artifact publishing.

Inputs

  • github_repos -- list of owner/repo (e.g., ["myorg/my-app", "myorg/my-lib"])
  • project_key -- JFrog project key
  • ecosystems -- list from: npm, maven, pip, go, docker, helm
  • oidc_provider_name -- OIDC provider name from the OIDC setup skill (empty string if OIDC is not available)
  • github_host -- GitHub host URL (e.g., https://github.com or https://github.mycompany.com)

Workflow Modifications

1. Discover existing workflows

After cloning the repo, check for workflow files:

ls .github/workflows/ 2>/dev/null

If no workflows exist, create a new one based on the detected ecosystems.

2. Add JFrog CLI setup step

Insert the jfrog/setup-jfrog-cli@v4 step early in each job, before any build steps.

If OIDC is available (oidc_provider_name is set):

permissions:
  id-token: write
  contents: read

- name: Setup JFrog CLI
  uses: jfrog/setup-jfrog-cli@v4
  env:
    JF_URL: ${{ vars.JF_URL }}
  with:
    oidc-provider-name: {oidc_provider_name}

If OIDC is NOT available (secrets-based auth):

- name: Setup JFrog CLI
  uses: jfrog/setup-jfrog-cli@v4
  env:
    JF_URL: ${{ vars.JF_URL }}
    JF_ACCESS_TOKEN: ${{ secrets.JF_ACCESS_TOKEN }}

Also set the project key:

env:
  JF_PROJECT: "{project-key}"

3. Replace build commands

Original JFrog CLI Equivalent
npm install / npm ci jf npm install
npm publish jf npm publish
mvn install jf mvn install
mvn deploy jf mvn deploy
pip install -r requirements.txt jf pip install -r requirements.txt
go build jf go build
go publish jf go publish
docker build docker build (unchanged)
docker push jf docker push
helm package helm package (unchanged)
helm push / curl -T jf rt upload "*.tgz" "{project-key}-helm-local/"

Read the full file on GitHub · 174 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 174 lines · 67 tokens per session scan F caf69fc3ff2d

Subscribe to this mod's changes

github-configure-ci-workflows is a skill published in the GitHub repository jfrog/ai-agent-examples (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 1,599 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it F with 4 findings (asks for root, downloads and executes remote code, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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