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AC ios-android-logs

Gets, filters, streams, and saves logs and crash reports from Capacitor apps on iOS Simulator, iPhone, Android emulator and devices. Explains where Capacitor output goes (iOS bridge and mirrored JS console lines are stdout-only, so missing from Console.app and `log stream`; Android tags `Capacitor` and `Capacitor/Console`). Covers `xcrun simctl spawn booted log stream --predicate`, `simctl launch --console-pty`, `xcrun devicectl device process launch --console`, `log collect --device-udid`, Console.app, devicectl `systemCrashLogs`, `adb logcat --pid`, `-b crash`, Android Studio `package:mine`, tombstones, ANRs, `adb bugreport`. Use for "how do I see logs", "console.log not showing on device", "no logs in Console.app", "get the crash log", "logcat too noisy". Do not use for diagnosing the bug once logs are in hand (debugging-capacitor), production crash SDKs (capacitor-native-observability), MCP log tooling (capacitor-mcp), or profiling (capacitor-performance).

Cap-go/capgo-skills Agent Skills author: Cap-go 4 files body ≈ 1 677 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Gets, filters, streams, and saves logs and crash reports from Capacitor apps on iOS Simulator, iPhone, Android emulator and devices.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureAI 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
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
50
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 · 0

    ✓ No critical or high findings

    Files scanned: 4. 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 63/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 28 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 1677 tokens
    • 100Running it twice. No mutating operations
    • 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

    • +3Description length 974: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.