SKILLEMALL.ai

BD bundle

Vovk.ts `vovk bundle` CLI — packages composed TypeScript client as zero-dep publishable npm package. Covers `bundle.build` async fn, `tsdown@0.23.0` recipe, `outputConfig.origin` / `package` / `reExports` / `imports.validateOnClient: null`, `prebundleOutDir` / `outDir` / `keepPrebundleDir`, `--include`/`--exclude` segments, `--openapi-*` mixin flags. Use when user asks to "publish my API client", "ship an SDK to npm", "build a publishable client package", "bundle the Vovk client", "generate a distributable npm SDK", "use tsdown with vovk", or variations including why bundled package omits `openapi`/`schema` entry points. Note: `vovk bundle` is **TypeScript-only**. For Python/PyPI publishing, hand off to **`python`** skill. For Rust/crates.io publishing, hand off to **`rust`** skill. Does NOT cover in-project client codegen (`@/client`) → **`rpc`** skill.

The skillemall take

Skill teaches the agent to package a TypeScript API client into an npm bundle via `vovk bundle`. Promises to cover the whole flow: from `tsdown@0.23.0` config to `--include`/`--exclude` flags and `--openapi-*` mixins. One instruction file with 2994 tokens, no code examples, no sandbox. Grade B (quality 86%, process 43%), no critical issues found. Triggers when users ask to "publish the client to npm" or "build an SDK". Catches only TypeScript; Python clients are out of scope.

Worth installing if your workflow regularly includes Vovk client publishing requests. Otherwise, it's a narrow tool for one job.

finom/vovk Agent Skills author: finom 1 file body ≈ 2 994 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Vovk.ts vovk bundle CLI — packages composed TypeScript client as zero-dep publishable npm package. Covers bundle.build async fn, tsdown@0.23.0 recipe…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 43/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 11 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2994 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 866: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (10 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.