JFrog — Setup Package Managers for Artifactory

In examples below, <skill_path> is this skill's directory (parent of scripts/ / references/).

Apply the session hook's repo pick via [jf setup](references/jf-setup-command.md), then record it in [.jfrog/local/package-resolution.json](references/workspace-binding.md) via [scripts/merge-workspace-binding.sh](scripts/merge-workspace-binding.sh). jf setup writes package-manager-native config (.npmrc, pip.conf, uv.toml, …); the binding lets the hook re-apply on later sessions.

At a glance (always-read core)

Every jf setup this session:

• Cover base [../jfrog/SKILL.md](../jfrog/SKILL.md) At-a-glance / Tier A

(Step 0.1) → <UA>, --server-id placement, single-server, stop-don't-switch. Prefer full base SKILL.md when you can; Tier B (cli-gotchas / jf-api / …) only if the next action needs jf api / advanced CLI

• Always --repo + --server-id. <repoKey> ← [Step 2](#step-2--get-the-resolved-repo)

(table / binding / global-cache) or user override / unresolved AskQuestion; never self-discover. <SID> ← resolver only (never user-selected)

• Confirm before first jf setup unless user asked silent / non-interactive
• Exit 0 → merge binding; non-zero → stop, surface CLI verbatim, offer

alternate repo or abort (2-answer cap)

• Binding = decisions, not creds — never write tokens into

.jfrog/local/package-resolution.json

• Unresolved / failed: ask with failure verbatim — never switch servers
• Never skip [Gotchas](#gotchas--hard-rules-never-skip) + base Tier A hard

rules (../jfrog/SKILL.md Cautious execution / Server selection / Tier A gotcha floor). Full cli-gotchas.md is Tier B — not required for jf setup

Steps: [0](#step-0--read-the-base-skill-then-ensure-jf-is-ready) → [1](#step-1--identify-package-managers-to-bind) → [2](#step-2--get-the-resolved-repo) → [3](#step-3--confirm-run-jf-setup-persist-binding) → [4](#step-4--load-the-routing-policy)

Scope (this skill vs session hook)

Session-start hook: resolves repo keys per package type, injects the "Resolved URLs for this session" table, refreshes the global cache. The same renderer is available on demand via modules/package-resolution/scripts/print-policy.mjs (the enforce notice embeds the exact command), so the policy can be loaded after setup.

This skill: reads that output, runs jf setup, and persists the workspace binding at .jfrog/local/package-resolution.json (via scripts/merge-workspace-binding.sh) when package-manager config is still missing.

Honor the injected policy's governed scope. The session policy lists the package managers it governs. Do not proactively onboard a package manager the policy doesn't govern (e.g. a stray Dockerfile when only pypi/npm are governed) — those are intentionally out of scope. An explicit user request to set up any package manager still works (Step 1's user-mention signal and Step 2's AskQuestion for an unlisted package manager apply as usual).

Prerequisites

• jf setup mutates user state (~/.npmrc, ~/.docker/config.json, …).

Confirm before the first jf setup in a session unless the user explicitly requests silent/non-interactive setup.

• Covering base At-a-glance / Tier A is required — done as Step 0.1 below.

Out of scope: CLI install/login (../jfrog/references/…).

Gotchas — hard rules (never skip)

Not tips. Do/don'ts and known traps for jf setup — follow every bullet before binding. Also honor base Tier A hard rules from [../jfrog/SKILL.md](../jfrog/SKILL.md) (Cautious execution, Server selection, Tier A gotcha floor). Full cli-gotchas.md is Tier B — load only if this session also needs jf api / advanced CLI.

• Always pass --repo and --server-id — omitting --repo fails when

multiple repos match. See [jf-setup-command.md](references/jf-setup-command.md).

• jf setup overwrites package-manager config without backup — skip package managers whose binding

already matches (Step 1, signal 2).

• Docker / Podman — prefix or stop. jf setup docker writes creds only;

bare docker pull <img> hits Docker Hub. Complete setup, then pull via <host>/<repoKey>/<img>.

• Binding holds decisions, not credentials — never write tokens into

.jfrog/local/package-resolution.json.

• Persist binding with the merge script — after each successful jf setup,

run scripts/merge-workspace-binding.sh (Step 6). Do not hand-edit the JSON.

• gradle ≠ maven. Bind under repositories.gradle, never repositories.maven.
• Yarn / Poetry — not APR zero-touch; bind only on explicit user ask (Step 1).

References

Step 0 — Read the base skill, then ensure jf is ready

1. **Cover base skill At-a-glance / Tier A before the first non-exempt jf

(even when jf is already configured).** Prefer reading [../jfrog/SKILL.md](../jfrog/SKILL.md) in full when you can; the At-a-glance Tier A floor is enough for jf setup / package-manager binding. Load Tier B (cli-gotchas.md, jf-api.md, …) only if the next action needs jf api / advanced CLI. Then run that skill's Environment check (and export JFROGCLIUSER_AGENT) before the first jf call.

1. Ensure jf + a configured server (<SID>). If jf config show already

succeeds, skip to Step 1; otherwise: - jf --version missing → install per [../jfrog/references/jfrog-cli-install-upgrade.md](../jfrog/references/jfrog-cli-install-upgrade.md). - jf config show empty → login per [../jfrog/references/jfrog-login-flow.md](../jfrog/references/jfrog-login-flow.md) or jf config add with access-token (Bearer-only).

1. Do not run jf setup until both succeed. Confirm before install/login.

Step 1 — Identify package managers to bind

Combine four signals, in order; intersect with jf setup --help supported list:

1. Explicit user mention. Map aliases: python → pip/uv/pipenv (and

poetry only if the user named Poetry); java → maven/gradle; node → npm/pnpm by lockfile (yarn only if the user named Yarn).

1. Workspace binding — read .jfrog/local/package-resolution.json. Drop

package managers already bound to the same key unless recovering from 401/403 (re-run same key). Package-manager → type table: [workspace-binding.md](references/workspace-binding.md).

1. Workspace manifests when still ambiguous (several package managers of one

type may apply — e.g. requirements.txt and uv.lock):

Binary gate (client tools only): missing client on PATH → skip as not applicable; do not substitute another package manager or report setup success. Exempt maven / gradle (config-only). Details: [jf-setup-command.md](references/jf-setup-command.md).

1. jf setup --help — filter candidates; never hardcode the list. See

[jf-setup-command.md](references/jf-setup-command.md). Unsupported → report gap, skip.

Step 2 — Get the resolved repo

For each <package-manager>, recover <repoKey> and <serverId> from the first source available:

1. "Resolved URLs for this session" table (default). Parse <repoKey>

from URL; <serverId> from host.

1. Workspace binding — if table was trimmed. repositories.<type>

(gradle → repositories.gradle, not maven).

1. Global cache — last resort only; never overrides (1) or (2). See

[global-cache-file.md](references/global-cache-file.md).

Cache disagreeing with (1)/(2) is not a reason to change the repo.

Don't choose a repo yourself: no listing, enumerating, probing, or iterating --server-id to pick one, and don't second-guess the resolver — use resolver output only. If the user explicitly asks to browse repos, list them via jf api "/artifactory/api/repositories?type=virtual&packageType=<pkgType>" (Artifactory package type from the binding map — gradle not maven; uv / pip / pipenv / poetry → pypi), then let the user choose; the agent still never makes the choice on its own.

Unresolved repo key

Ask via AskQuestion (include the resolver/setup failure text verbatim):

No default repo for <package-manager> on <SID>.
Failure: <verbatim failure>
Which Artifactory repository should I use? (repo key, or abort.)

Cap at 2 answers per package manager, then abort. User may override repo only, never server.

Step 3 — Confirm, run jf setup, persist binding

1. Present the plan, one row per package manager:

``text <package-manager> → <repoKey> on <SID> (source: resolver) <package-manager> → <repoKey> on <SID> (source: user-supplied) ``

1. Show binding diffs when the repo key changes.

1. Confirm via AskQuestion (apply / change repos / abort) unless the

user explicitly requested silent/non-interactive setup — then run directly.

1. Sequentially, one package manager at a time:

``bash jf setup <package-manager> --server-id <SID> --repo <repoKey> [--project <key>] ``

1. Exit code 0 = success — merge binding (step 6). On non-zero, stop,

surface CLI output verbatim, offer alternate repo or abort (2-answer cap).

1. On success, run the merge script (do not hand-edit JSON). Pass the

IDE workspace root when the shell cwd is not that root:

``bash bash <skill_path>/scripts/merge-workspace-binding.sh \ --package-manager <package-manager> \ --repo <repoKey> \ [--workspace-root <workspace-root>] ``

Requires jq (same prerequisite as the base jfrog skill). Exit 0 prints merged <type> → <repo> into <path>. On non-zero, stop, surface stderr verbatim — do not claim the binding was recorded. Schema and PM → type map: [workspace-binding.md](references/workspace-binding.md).

Step 4 — Load the routing policy

If this session started with the "routing NOT READY" (enforce) notice, that notice includes a refresh command (node <plugin>/modules/package-resolution/scripts/print-policy.mjs). After Step 3 succeeds, run that exact command and treat its stdout as the authoritative, now-current policy — it prints the resolved Artifactory URLs and hard rules. Continue the original request using those URLs.

If the command prints nothing, routing is off by config (packageResolution.enabled is not true) — an admin opt-in. Report that to the user and let them decide whether to enable it.

Before you run jf setup — checklist

[At a glance](#at-a-glance-always-read-core) invariants:

• base At-a-glance / Tier A covered; <UA> exported
• <repoKey> ← Step 2 or user override; <SID> ← resolver only
• confirmed (or explicit silent-setup)
• jf setup <pm> --server-id <SID> --repo <repoKey>
• exit 0 → merge binding (no creds); non-zero → stop + report verbatim;

never switch servers

• never skip Gotchas (this skill) + base Tier A hard rules (full

cli-gotchas.md only if Tier B path)