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AC capacitor-plugin-upgrade-v4-to-v5

Upgrades a Capacitor plugin library from v4 to v5 using `npx @capacitor/plugin-migration-v4-to-v5@latest`, then the manual checklist - `@capacitor/*` dev deps to `latest-5`, compile/target SDK 33 defaults, AGP 8.0.0, Gradle 8.0.2, `namespace` in build.gradle instead of manifest `package`, Java 17, Jetifier removal, Kotlin 1.8.20 with `kotlin-stdlib`, plus code changes - `CAPBridgedPlugin` requirements moved to instance level (`pluginId` -> `identifier`, `pluginMethods` typed `[CAPPluginMethod]`) and Android `PluginCall.getObject()` / `getArray()` may return null. Use when a plugin's peer dependency is Capacitor 4 and it must support 5, or apps on v5 fail with "Namespace not specified" in the plugin module. Do not use for app upgrades, other major versions, or non-Capacitor libraries.

Cap-go/capgo-skills Agent Skills author: Cap-go 3 files body ≈ 1 068 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Upgrades a Capacitor plugin library from v4 to v5 using npx @capacitor/plugin-migration-v4-to-v5@latest, then the manual checklist - @capacitor/ dev deps to…

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
98
Quality 40%
92
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: capgo-skills

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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Broad scope meta-dynamic-shell SKILL.md:27
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`node -e "const fs=require('fs');if(!fs.existsSync('package.json'))process.exit(0);const pkg=JSON.parse(fs.readFileSync('package.json','utf8'));const out=['package.name='+(pkg.name||''),'package.vers
    • low Broad scope meta-dynamic-shell SKILL.md:30
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`find . -maxdepth 3 \( -path './example-app' -o -path './ios' -o -path './android' \)`

    Files scanned: 3. 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 61/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1068 tokens
    • 100Progress reporting. Reports progress

    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

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 794: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.