SKILLEMALL.ai

AB capacitor-ios-security-hardening

Audits and progressively hardens Xcode security build settings for a Capacitor iOS app (ios/App/App.xcodeproj, scheme App) and native plugin code (Swift/ObjC/C, Package.swift, podspec). Covers `xcodebuild -showBuildSettings -json`, security compiler warnings, static analyzer checkers (`xcodebuild analyze`), Xcode Enhanced Security (ENABLE_ENHANCED_SECURITY, com.apple.security.hardened-process entitlements, pointer authentication / arm64e, memory tagging soft mode), what is safe for a WKWebView hybrid app vs what breaks CocoaPods, SPM binary xcframeworks or Cordova plugins, staged adoption, and a decision log. Use for "harden my iOS build", "enable Enhanced Security", security build settings audit, arm64e link errors after enabling pointer authentication, or Build and Analyze setup. Do not use for ATS/TLS, signing, secrets or WebView rules (capacitor-security), or App Store review (capacitor-apple-review-preflight).

Cap-go/capgo-skills Agent Skills author: Cap-go 8 files · 1 script body ≈ 2 887 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Audits and progressively hardens Xcode security build settings for a Capacitor iOS app (ios/App/App.xcodeproj, scheme App) and native plugin code…

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
97
Quality 40%
97
Run on models
none yet
Process rating
B
67/100
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

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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token references/enhanced-security.md:56
      High-entropy token-like string (may be an id, hash or a credential)
      plutil -insert iOSP…64e -bool YES "$F"
    • low Secrets in code secret-high-entropy-token references/plugin-authors.md:44
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - Source plugins (podspec or Package.swift) are compiled by the consumer. They get `arm64e` when the consumer opts in (CocoaPods `post_install`, SPM `iOSP…64e`). Make sure the code
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:130
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
      | Link fails with messages that mention `arm64e` after enabling Enhanced Security | A pod, SPM package or xcframework was built without `arm64e` | Find it with `lipo -archs`. Source pods: `post_instal
      detectortable

    Files scanned: 8. 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 67/100

    • 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. 7 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 37 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 2887 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

    • +3Description length 928: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 97.