Conciseness

The body is 45 lines with no padding and no explanation of concepts Claude already knows; each rule is a two-line instruction, a compact bad/good example, and a one-line "Failure avoided" justification that ties the rule to an observable failure class, so every token earns its place.

Actionability

Rules 1 and 3 give concrete, executable guidance ("call `grep_files` or `read_file` to confirm it exists", good example "grep_files pattern=\"pub fn load_config\" → confirms src/config/mod.rs:42"), and the bad/good pairs make the target behavior unambiguous. Rule 2's agent block ("agent type=\"verifier\" model=\"deepseek-v4-flash\"") is a sketch rather than a literal command, which keeps it at anchor 4 instead of fully copy-paste-ready.

Workflow Clarity

Each rule states a precise trigger condition ("Before referencing a file path", "Before executing a plan that touches 3+ files", "In plan-mode output") and embeds a validation checkpoint (confirm existence, report mismatches), giving clear sequencing with most checkpoints present. The rules lack an explicit recovery loop for what to do when verification fails, so it sits below anchor 5.

Progressive Disclosure

The skill is under 50 lines with no external references needed; content is split into a one-line purpose statement and three well-signaled numbered sections ("## 1. Verify references before writing", "## 2. Spawn a verifier sub-agent...", "## 3. Plan output must use confirmed path:line references"), which is well-organized structure for a skill of this size.

Specificity

"Provides rules to prevent stale references, unverified plan assumptions, and vague plan output" names three concrete failure classes the skill acts on, which goes beyond the 1-2 actions of anchor 3, though the actions themselves ("provides rules") stay generic rather than listing what the rules do.

Completeness

Both parts are present: "Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks" answers when explicitly, and the second sentence answers what. The 'what' stays at the level of failure classes prevented rather than describing the actual rules (verify references, spawn verifier, use path:line), keeping it at anchor 4 rather than the fully concrete anchor 5.

Trigger Term Quality

"deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks" gives good natural keyword coverage — a user of those models would say these terms — but common variations like "planning", "agent mode", or "sub-agent" are absent, so it falls short of the comprehensive synonym coverage of anchor 5.

Distinctiveness Conflict Risk

The triggers are tied to specific model names ("deepseek-v4-pro or deepseek-v4-flash in thinking mode") plus task shape, creating a clear niche with minimal overlap risk against generic planning or coding skills.