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.
npx agentmods add skills/jfrog/cursor-plugin/jfrog-package-curationnpx skills add jfrog/cursor-plugin --skill jfrog-package-curationgit clone --depth 1 https://github.com/jfrog/cursor-pluginWhat 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 | $0.00189 | $0.03670 |
| Opus 5 | $0.00095 | $0.01835 |
| Sonnet 5 | $0.00038 | $0.00734 |
| Haiku 4.5 | $0.00019 | $0.00367 |
Grade A, and why
jfrog-package-curation scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Interpreting the result with `jf api`**: unlike plain `curl`, `jf api` This is a copy
100% identical to jfrog-package-curation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JFrog Package Curation
Prerequisites
- Read
../jfrog/SKILL.mdfor JFrog Platform concepts, domain model, CLI setup, and API patterns. - OneModel shapes drift by server version. Before inventing GraphQL fields or
wherefilters, read../jfrog/references/onemodel-graphql.md(schema fetch workflow) and../jfrog/references/onemodel-query-examples.md(Public packages, Stored packages). Regenerate or verify queries againstGET "$JFROG_URL/onemodel/api/v1/supergraph/schema"when examples fail validation.
Which path do I need?
- Package hasn't been checked or downloaded yet (is it safe / allowed / curated? download it) → go to Check & download below.
- A package operation already failed —
ETARGET(npm), "no matching distribution" (pip),NU1102(NuGet), a version missing/stripped from the registry,403/ "blocked by curation policy", or an approved waiver not taking effect → go to Troubleshoot a failure below.
Troubleshoot a failure
Requires the JFrog MCP curation tools (
jfs_curation_*); nojfCLI equivalent is used in this path. See the skill'scompatibilitynote.
Root-causing a curation-attributable failure (ETARGET, 403, a version
missing from the index, a waiver not taking effect) is a multi-step
investigation — preflight checks, the two-gate model, symptom classification,
then a full RCA procedure. It doesn't belong inline here since a plain
download never touches it. Open
references/rca-procedure.md and follow it from
the top — one file, covering preflight, the #1 RULE, the two-gate model,
symptom classification (Step 0), and the RCA itself (Steps 1–4, worked
examples, gotchas).
Check & download
Workflow overview
flowchart TD
A[User requests package check / download] --> B{Package in Public Catalog?}
B -->|Yes| C[Get latest version from Catalog]
B -->|No| D{Package in JFrog Platform Stored Packages?}
D -->|Yes| E[Get latest version from Stored Packages]
D -->|No| F[Package not found — stop]
C --> G{Latest version in JFrog Platform?}
E --> G
G -->|Yes| H[Safe — download from JFrog Platform]
G -->|No| I{Curation entitled?}
I -->|Yes| J[Check curation policy via API]
I -->|No| K[Download via remote repo]
J -->|200 Allowed| K
J -->|403 Blocked| M[Report curation blocked — see Troubleshoot a failure]
What ships with it
1 file 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.
- 2d ago First seen · 315 lines · 189 tokens per session scan A 93bed5b3b2e8
jfrog-package-curation is a skill published in the GitHub repository jfrog/cursor-plugin (5 stars, last pushed 2d ago), licensed Apache-2.0. It adds 189 tokens to every session and 3,670 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to jfrog-package-curation, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…