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axiom-audit-camera

Use this agent to scan Swift code for camera, video, and audio capture issues including deprecated APIs, missing interruption handlers, threading violations, and permission anti-patterns.

62

Quality

72%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./axiom-codex/skills/axiom-audit-camera/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with a clear, well-validated multi-phase workflow, but it is a long monolithic file with some redundancy across phases and no progressive disclosure into bundle reference files.

Suggestions

Move the detailed 10-pattern catalog and the Phase 4 compound table into a separate reference file (e.g. references/patterns.md) referenced from the main body, reducing the inline footprint.

De-duplicate Phase 2, Phase 3, and Phase 4 so each anti-pattern is described once and later phases reference it by pattern number rather than restating the issue.

Trim redundant prose in the Phase 3 table where the 'What it detects' and 'Why it matters' columns repeat information already given in Phase 2.

DimensionReasoningScore

Conciseness

The body is dense with specialized API knowledge and avoids explaining concepts Claude already knows, but Phase 2 patterns, the Phase 3 completeness table, and the Phase 4 compound table re-tread overlapping issues, so it could be tightened.

2 / 3

Actionability

Provides concrete grep regexes, explicit Read-verification instructions, copy-paste-ready fix code for each pattern, and a fully specified output template — executable rather than abstract.

3 / 3

Workflow Clarity

Five phases are clearly sequenced (Map → Detect → Reason → Cross-Reference → Score) with explicit validation checkpoints ('use Read to verify the surrounding context before reporting') and a false-positives checklist for error recovery.

3 / 3

Progressive Disclosure

No bundle files exist and the body is a single well-sectioned file, but at ~340 lines with all content inline it is monolithic; the pattern catalog and cross-reference tables could be split into reference files for a skill this size.

2 / 3

Total

10

/

12

Passed

Description

67%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and clearly niched, but it lacks an explicit 'Use when...' trigger clause and leans on technical phrasing over natural user keywords, capping completeness and trigger-term quality at 2.

Suggestions

Add an explicit trigger clause, e.g. 'Use when auditing Swift camera/video/audio capture code, or when the user reports camera freezes, black preview, dead sessions after interruption, or App Store rejection for missing purpose strings.'

Broaden trigger terms with natural user phrasings ('camera freezes', 'black preview', 'dead camera after phone call', 'silent video') alongside the technical terms.

Keep the third-person voice but restructure so the 'when' is stated as explicitly as the 'what' rather than implied by 'Use this agent to'.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — scanning for 'deprecated APIs, missing interruption handlers, threading violations, and permission anti-patterns' — matching the anchor that enumerates several specific capabilities rather than vague language.

3 / 3

Completeness

The 'what' is explicit, but the 'when' is only implied via 'Use this agent to scan...' with no explicit 'Use when...' trigger clause, which the guidelines cap at 2.

2 / 3

Trigger Term Quality

Relevant domain keywords are present ('camera, video, and audio capture', 'deprecated APIs') but the phrasing is technical and omits common user variations such as 'camera freeze', 'black preview', or 'App Store rejection'; not full natural-term coverage.

2 / 3

Distinctiveness Conflict Risk

Targets a clear niche — Swift camera/video/audio capture auditing — with distinct triggers unlikely to overlap with unrelated skills.

3 / 3

Total

10

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
CharlesWiltgen/Axiom
Reviewed

Table of Contents

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