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BC debugging-capacitor

Diagnoses and fixes runtime bugs in Capacitor iOS/Android apps - white/blank screen on launch, startup crashes, `"X" plugin is not implemented on ios/android`, `net::ERR_CLEARTEXT_NOT_PERMITTED`, App Transport Security blocks, CORS on capacitor://localhost, permission denials, live reload not connecting, and Capacitor 8.5+ UIScene regressions (appUrlOpen, universal links, pause/resume silent because AppDelegate callbacks stopped). Covers Safari Web Inspector, chrome://inspect, Xcode/LLDB, Android Studio, `npx cap run --url` (Capacitor 9) vs `-l --host` (8), `xcrun simctl openurl|privacy|push`, `xcrun devicectl device process launch|openURL`, `xctrace`. Do not use for only reading device logs (ios-android-logs), the UIScene migration itself (capacitor-uiscene-migration), deep-link setup (capacitor-deep-linking), speed (capacitor-performance), crash SDKs (capacitor-native-observability), tests (capacitor-testing), or upgrades/build errors (capacitor-app-upgrades, cocoapods-to-spm).

Cap-go/capgo-skills Agent Skills author: Cap-go 7 files body ≈ 2 590 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Diagnoses and fixes runtime bugs in Capacitor iOS/Android apps - white/blank screen on launch, startup crashes, "X" plugin is not implemented on ios/android…

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerSoftware developmentAI and agentsData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
60/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: debugging-capacitor (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 · 0

    ✓ No critical or high findings

    Files scanned: 7. 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 60/100

    • 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. 8 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 100Steps. 42 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2590 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (7 tags): a typed call is more reliable

    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 994: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 42 items
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.