analyzing-ios-app-security-with-objection

analyzing-ios-app-security-with-objection is an iOS development skill for AI agents, published by mukul975 in the Anthropic-Cybersecurity-Skills repository on GitHub. Skillspace rates analyzing-ios-app-security-with-objection D (68/100) and it passed the safety scan; a judge model has also reviewed it.

Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
32,716

Placed #5 of 6 in the judged category final for iOS development.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
84 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

Judge review

Placed #5 of 6 in the judged category final for iOS development.

  • Trigger7878
  • Instructions9292
  • Specificity9292
  • Safety6565
  • Disclosure6060
  • Maintenance5555
Detailed, MASVS-aligned runtime security-testing commands gated by an authorization warning, though the capability itself (keychain and credential extraction) is inherently sensitive.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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