Much of the methodology is genuinely valuable and non-obvious, but the body is padded: 'Bridge to neighboring skills' and 'Related Skills & Chains' duplicate each other, and the 'selling it to the client' section is persuasive fluff. It is not a 1 because it avoids explaining concepts Claude already knows.

Provides executable bash watchers, a Python baseline-diff script, a grep lockout counter, and copy-paste finding-report templates; placeholders like '<minutes>' and '<operator-src-ip>' are explicitly justified engagement-specific fill-ins.

Clear Before/During/After capture-diff sequence, and the 'single signal recanted rule' is a 5-step checklist with explicit validation checkpoints ('Try at least 3 alternative vectors', verify journal.jsonl shows 1 attempt/user) and a WAF-evasion feedback loop.

No bundle files exist and the ~345-line SKILL.md is monolithic, with three full finding templates and two overlapping related-skills sections kept inline that could be split out; section headers help, but content that should be separate is inline.

Names multiple concrete actions — 'detecting client SOC patches, attacker activity, and security-state changes' and 'converting those observations into deliverable findings' — rather than vague language, and uses third-person voice ('Methodology for detecting').

Explicitly answers both what it does ('Methodology for detecting...converting...observations into deliverable findings') and when to use it via the explicit 'Use when (a)-(d)' trigger clause, so it is not capped at 2.

Explicit 'Use when (a)...(b)...(c)...(d)...' triggers give good scenario coverage, but the phrasing leans technical ('security-state changes', 'SOC patches') and lacks natural keyword variations a user might say.

Occupies a clear narrow niche (mid-engagement IR detection during authorized red-team work) with distinct, scenario-specific triggers unlikely to fire for unrelated skills.