jfrog-devops

A guide for managing JFrog tools, including Artifactory, a repository for software packages and build files, and Xray, a scanner for security vulnerabilities. It also covers Docker images, build information, and machine-learning model repositories.

In plain words
What is it for?
Use it to upload or download artifacts, manage Docker images, publish or promote builds, scan for known vulnerabilities, create reports, export software-bill-of-materials files, and manage machine-learning models.
Why use it?
It gives developers a reference for storing, finding, promoting, and checking software artifacts across delivery workflows. It also explains which operations require authentication or administrator access.

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/skills-il/developer-tools/jfrog-devops
Any agent
npx skills add skills-il/developer-tools --skill jfrog-devops
Clone the repo
git clone --depth 1 https://github.com/skills-il/developer-tools

Made for: Claude Code, Codex.

Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,167 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 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 $0.00168 $0.05167
Opus 5 $0.00084 $0.02583
Sonnet 5 $0.00034 $0.01033
Haiku 4.5 $0.00017 $0.00517

Measured 2d ago against content hash 0aaadd5c2b02, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

jfrog-devops scanned grade B with 2 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/artifactory_client.py, scripts/xray_client.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Harvests environment variablesmediumData exfiltration

Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.

# Collect environment variables

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

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

allowed-tools: Bash(curl:*) Bash(jf:*) Bash(docker:*) Bash(python:*)
jfrog-devops/SKILL.md · 362 lines

How it starts

The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JFrog DevOps

Instructions

Step 1: Identify the DevOps Operation

Operation JFrog Tool API/CLI Auth Required
Upload/deploy artifact Artifactory PUT /{repo}/{path} or jf rt upload Yes
Download artifact Artifactory GET /{repo}/{path} or jf rt download Yes (unless anonymous)
Search artifacts Artifactory AQL or jf rt search Yes
Docker push/pull Artifactory Docker API or jf docker Yes
Publish build info Artifactory PUT /api/build or jf rt build-publish Yes
Promote build Artifactory POST /api/build/promote Yes (admin)
Scan for CVEs Xray POST /api/v1/scanArtifact or jf xr scan Yes
Create watch/policy Xray POST /api/v2/watches Yes (admin)
Generate report Xray POST /api/v1/reports/vulnerabilities Yes
Export SBOM (SPDX or CycloneDX) Xray POST /xray/api/v2/component/exportDetails, or jf scan --format=cyclonedx (CycloneDX only) Yes
Vet OSS packages before download Curation Configured per remote repo Yes (admin)
Manage ML model (Hugging Face, MLflow, NIM) Artifactory ML repo jf rt upload or FrogML SDK Yes
Cleanup old artifacts Artifactory AQL + delete or retention policies Yes (admin)

Step 2: Configure Authentication

Option A: JFrog CLI (recommended):

# Configure JFrog CLI with access token (recommended)
jf config add my-server \
  --url="https://acme.jfrog.io" \
  --access-token="YOUR_ACCESS_TOKEN" \
  --interactive=false

# Verify connection
jf rt ping

Option B: REST API with curl:

# Read the host and token from the environment so neither is hardcoded
# or left in shell history. JF_URL is your platform base URL.
export JF_URL="https://acme.jfrog.io"

# Using access token (recommended)
curl -H "Authorization: Bearer $JF_ACCESS_TOKEN" \
  "$JF_URL/artifactory/api/system/ping"

# Using identity token (reference token, also works as Bearer)
curl -H "Authorization: Bearer $JF_REFERENCE_TOKEN" \
  "$JF_URL/artifactory/api/system/ping"

Read the full file on GitHub · 362 lines

Files

What ships with it

7 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 · 362 lines · 168 tokens per session scan B 0aaadd5c2b02

Subscribe to this mod's changes

jfrog-devops is a skill published in the GitHub repository skills-il/developer-tools (10 stars, last pushed 5d ago), licensed MIT. It adds 168 tokens to every session and 5,167 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it B with 2 findings (harvests environment variables, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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