SKILLEMALL.ai

BB ionic-enterprise-sdk-migration

Migrates Capacitor apps off Ionic Enterprise SDK plugins - @ionic-enterprise/auth (Auth Connect), @ionic-enterprise/identity-vault (Identity Vault), and @ionic-enterprise/secure-storage (Secure Storage) - to @capgo/capacitor-social-login (OAuth2/OIDC for Azure AD, Auth0, Okta, Cognito, plus Google/Apple), @capgo/capacitor-native-biometric (biometric-protected Keychain/Keystore credential vault), and @capgo/capacitor-fast-sql or @capgo/capacitor-data-storage-sqlite (encrypted storage). Use when package.json has @ionic-enterprise/* packages, code imports AuthConnect, BrowserVault/Vault/DeviceSecurityType, or SQLite from secure-storage, or the user needs to move stored tokens without logging users out. Do not use for Ionic Appflow live updates or builds (ionic-appflow-migration), generic SQLite plugin swaps (sqlite-to-fast-sql), Capacitor version upgrades (capacitor-app-upgrades), or Capgo live updates (capgo-live-updates).

Cap-go/capgo-skills Agent Skills author: Cap-go 2 files body ≈ 2 151 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Migrates Capacitor apps off Ionic Enterprise SDK plugins - @ionic-enterprise/auth (Auth Connect), @ionic-enterprise/identity-vault (Identity Vault), and…

As a process B 70/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationAzureSoftware developmentDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
85
Run on models
none yet
Process rating
B
70/100
Nearly there
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
This is a copy of a skill from another catalog; the rating counts the canonical one: ionic-enterprise-sdk-migration (Cap-go/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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Broad scope meta-dynamic-shell SKILL.md:32
      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=[];for(const section of ['dependencies','devD

    Files scanned: 2. 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 70/100

    • 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
    • 85Steps. 26 steps, 1 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2151 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
    • +3Description length 934: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.