Conciseness

The body is lean throughout - it assumes Claude's competence, never explains what Frida is, and every section (install, invocation, templates, output, failure modes, threat model) earns its tokens.

Actionability

Provides fully executable commands, a copy-paste-ready invocation block, a templates table, five concrete examples, and a programmatic API with runnable signatures.

Workflow Clarity

The install-to-invocation-to-output flow is clearly sequenced, and the 'Failure modes (read metadata.json first)' table acts as an explicit error-recovery checkpoint mapping error fragments to causes and fixes.

Progressive Disclosure

Sections are well organized, but the skill is a single ~130-line file that mixes overview, pipeline integration, and a programmatic API; the only external reference (docs/frida.md) is not present in the bundle, so content that could be split stays inline.

Specificity

Lists multiple concrete actions - 'attach to or spawn a process', 'load a JS hook script', 'capture send() events into a lifecycle-managed run directory' - matching the anchor for listing several specific concrete actions.

Completeness

It clearly answers what the skill does but provides no explicit 'Use when...' trigger clause, which per the guidelines caps completeness at 2.

Trigger Term Quality

'Frida' is a natural term a user would say, but coverage leans on technical jargon ('send() events', 'frida-server', 'lifecycle-managed run directory') and lacks common user-facing variations, so it is only partial.

Distinctiveness Conflict Risk

Dynamic instrumentation via Frida is a clear niche with distinct triggers ('attach', 'spawn', 'frida-server') and is unlikely to fire for unrelated skills.