Conciseness

The body is mostly lean and actionable with concrete commands, but carries minor over-explanation such as the '--format both' rationale ('covers users who skim in a browser AND users who want raw markdown') and the multi-line legacy path fallback, keeping it just below the fully lean anchor 5.

Actionability

Provides copy-paste-ready bash and python invocations with explicit flags and a Glob pattern, but several arguments remain placeholders (<topic_dir>, <output_dir>, <comma-separated user selections>) and the core conversion logic is delegated to the bundled script rather than shown inline, so it is mostly executable with minor gaps at anchor 4.

Workflow Clarity

Four steps are clearly sequenced with a confirm check in Step 1 ('Confirm the results directory exists and contains JSON files') and a sanity-check offer in Step 4; because report generation is neither destructive, batch, nor XML/database manipulation the cap does not apply, but the lack of an explicit post-generation validation step keeps it at anchor 4 rather than 5.

Progressive Disclosure

The body is a well-structured overview with clear sections (Trigger, Pipeline Context, Workflow, Output, References, Scripts) and a clearly signaled one-level-deep reference to references/converter-contract.md, which exists in the bundle; it stops short of the anchor-5 pattern of multiple signposted reference links but is solidly above anchor 3.

Specificity

Lists several concrete actions — 'Convert per-item JSON results ... into a single markdown report', 'table of contents', 'per-item sections', 'Uses a bundled converter script' — but omits the HTML output and fields.yaml inputs, leaving minor coverage gaps consistent with anchor 4 rather than the comprehensive anchor 5.

Completeness

The 'what' is clear (convert JSON results into a markdown report with TOC and per-item sections), but there is no explicit 'Use when...' clause — the 'when' is only weakly implied via the /ultra-research:research-deep reference, so per the boundary guidance completeness is capped at 3.

Trigger Term Quality

Relevant terms like 'JSON results', 'markdown report', 'table of contents' appear, but coverage is pipeline-bound and misses common synonyms or file extensions a user might naturally say, fitting anchor 3 more than the fuller anchor 4.

Distinctiveness Conflict Risk

It is tightly scoped to the ultra-research pipeline and a specific slash command, giving a clear niche with minimal overlap risk; it sits above anchor 3 but the trigger is a command name rather than broadly natural language, so anchor 5 is not fully reached.