Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jfrog/ai-agent-examplesnpx agentmods add skills/jfrog/ai-agent-examples/jfrog-artifactoryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jfrog/ai-agent-examples/jfrog-artifactory)<a href="https://agentmods.dev/skills/jfrog/ai-agent-examples/jfrog-artifactory"><img src="https://agentmods.dev/badge/skills/jfrog/ai-agent-examples/jfrog-artifactory.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.02236 |
| Opus 5 | $0.00034 | $0.01118 |
| Sonnet 5 | $0.00013 | $0.00447 |
| Haiku 4.5 | $0.00007 | $0.00224 |
Grade A, and why
JFrog Artifactory scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> **API transport:** Prefer **`jf api`** (JFrog CLI 2.100.0+). See [jf-api-patterns.md](../jfrog-cli/jf-api-patterns.md) (path-only URLs; auth from `jf config`). Examples using **`curl`** with `$JFROG_URL` + bearer token How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API transport: Prefer
jf api(JFrog CLI 2.100.0+). See jf-api-patterns.md (path-only URLs; auth fromjf config). Examples usingcurlwith$JFROG_URL+ bearer token are fallback when the CLI is missing or below 2.100.0.
JFrog Artifactory Skill
Authentication
All Artifactory REST API calls require authentication via the Authorization header:
Authorization: Bearer $JFROG_ACCESS_TOKEN
Base URL: https://$JFROG_URL/artifactory/api/...
When authentication is needed, follow the login-flow.md procedure to resolve the active JFrog environment. The jf CLI is required and will be installed automatically if missing. The agent checks saved credentials via jf config show and asks which environment to use if multiple are saved. If none exist, the agent drives the web login flow and saves credentials via jf config add.
Core Concepts
Repository Types
| Type | Purpose | Example |
|---|---|---|
| Local | Store your own artifacts (1st-party binaries, builds) | libs-release-local |
| Remote | Cache/proxy external registries (npm, Maven Central, Docker Hub) | npm-remote |
| Virtual | Single URL that routes to multiple local & remote repos with priority order | npm |
| Federated | Bi-directional mirror across JFrog Platform Deployments (JPDs) | shared-docker-federated |
Build Info
Structured metadata collected by JFrog CLI during CI. Contains: build name/number, artifacts produced, dependencies consumed, environment variables, VCS info. Published with jf rt build-publish. Enables: Xray scanning of builds, promotion, release bundle creation.
Package Types
Artifactory supports 40+ package types. See package-types-reference.md for repo config per type.
Key API Operations
Repository Management
# List all repos
curl -H "Authorization: Bearer $JFROG_ACCESS_TOKEN" "$JFROG_URL/artifactory/api/repositories"
# Create a local repo
curl -X PUT -H "Authorization: Bearer $JFROG_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"key":"my-docker-local","rclass":"local","packageType":"docker"}' \
"$JFROG_URL/artifactory/api/repositories/my-docker-local"
# Create a remote repo (proxy Docker Hub)
curl -X PUT -H "Authorization: Bearer $JFROG_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"key":"docker-remote","rclass":"remote","packageType":"docker","url":"https://registry-1.docker.io/"}' \
"$JFROG_URL/artifactory/api/repositories/docker-remote"
# Create a virtual repo
curl -X PUT -H "Authorization: Bearer $JFROG_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"key":"docker","rclass":"virtual","packageType":"docker","repositories":["my-docker-local","docker-remote"],"defaultDeploymentRepo":"my-docker-local"}' \
"$JFROG_URL/artifactory/api/repositories/docker"
What ships with it
3 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.
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.
- 7d ago First seen · 200 lines · 67 tokens per session scan A b03432776bd4
JFrog Artifactory 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 2,236 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (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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