Conciseness

The body is largely dense, competent procedural instruction (routing table, exact commands, rollback rules), but the ~25-line installed-path resolution section ("When this Skill loads, the host exposes its installed path..." plus macOS/Linux and PowerShell variants) and the repeated start-a-new-thread instructions in both `apply` and "Report the outcome" are minor over-explanation that could be trimmed. This matches the 4 anchor; it is not 5 because not every token earns its place, and not 3 because the padding is localized rather than pervasive.

Actionability

Every routed intent has a complete executable command (e.g., `uv run --no-project python "$SKILL_DIR/scripts/codex_context_window.py" doctor --json`) with cross-platform variants and an explicit procedure for resolving the script path, covering all five branches. Copy-paste ready with specific examples for the common cases, matching the 5 anchor.

Workflow Clarity

The routing table sequences intents to branches, `doctor` is required before `apply`, and the config-writing workflow has explicit validation checkpoints with feedback loops: "back up the original and check for concurrent edits", "Write atomically", "run the local `codex features list` configuration-load check", "Runs Codex strict-config diagnostics; a failure restores the exact prior bytes", and independent readback. This matches the 5 anchor (explicit validation, error-recovery loops) and exceeds the destructive-operation cap of 3.

Progressive Disclosure

Verified against the actual bundle: the body links `scripts/codex_context_window.py` (implementation detail) and `references/context_window_contract.md` (diagnostic semantics), both real files, one level deep, with the reference clearly signaled and purpose-scoped ("Read ... when diagnosing model caps, usable-window display, or compaction semantics"). Content is appropriately split with easy navigation, matching the 5 anchor.

Specificity

Quotes: "inspect local context settings", "lower or set the auto-compaction threshold", "expand ~258K context to 500K or 1M", "repair model_context_window/model_auto_compact_token_limit" — multiple concrete actions naming exact config keys and numeric targets, comprehensively covering the skill's domain. It exceeds the 4 anchor (which allows minor coverage gaps) and matches the 5 anchor.

Completeness

Both questions are explicitly answered: "what" via "Configures and verifies an expanded, model-aware context window..." and "when" via the explicit trigger clause "Use to inspect local context settings, lower or set the auto-compaction threshold, expand... or repair...", plus a negative-scope clause. This matches the 5 anchor's explicit what-and-when with concrete trigger phrases; it is clearly above 4, where the "when" would be less explicit.

Trigger Term Quality

Natural terms include "context window", "Codex CLI and Desktop", "auto-compaction threshold", "500K or 1M", "~258K" — good coverage of phrases a user would say when requesting this. A few common variations are missing (e.g., "context length", "tokens", "config.toml"), so it fits the 4 anchor rather than the 5 anchor's comprehensive synonym coverage.

Distinctiveness Conflict Risk

The description is scoped to OpenAI Codex CLI/Desktop context-window configuration with named config keys, and the clause "Not for changing the selected model or other Codex settings" explicitly fences it off from adjacent skills. Clear niche with minimal conflict risk, matching the 5 anchor.