Conciseness

The body is dense and imperative — command tables, mistake/fix pairs, and hard constraints assume Claude's competence with no basic-concept padding, matching the efficient-with-minor-trimming anchor. Not 5 because the ~20-row Quick Reference table duplicates the later CLI Tool section, and the Shared References list repeats entries (`references/harness-contract.md` and `references/reports.md` each appear twice).

Actionability

Concrete, fully spelled-out commands (`$PYTHON_PATH .agentsociety/bin/ags.py analysis load-context --workspace . --hypothesis-id ID ...`), exact output paths, exit-code semantics, and receipt-inspection instructions are mostly copy-paste ready, matching the 4 anchor. Not 5 because payload examples are only placeholders (`--payload '{...}'`, `--spec FILE`) deferred entirely to a reference file, so common cases are not covered inline.

Workflow Clarity

A clearly sequenced six-stage pipeline (dot graph plus Stage Notes) with explicit validation gates per phase, the four-step post-phase loop, exit-code error handling, single-flight/retry semantics, and an explicit feedback loop ("On REVISE/FAIL, loop producer → reviewer until PASS") — matching the 5 anchor's sequence, validation, and error-recovery checkpoints.

Progressive Disclosure

SKILL.md is structured as an overview with well-labeled, one-level-deep references, but scored against the actual bundle, 10 referenced paths dangle: all six `stages/*.md` files, `checklists/quality.md`, `subagent-prompts/data-explorer.md`, and `support/frontend-design/**` do not exist, so the central Stage Notes and delegation navigation is broken. This is more than the 4 anchor's 'minor organization gaps', while the 3 anchor's 'could be better organized' fits; not 2 because the references that do exist are clearly signaled and one level deep.

Specificity

Lists several concrete deliverables — "rigorous interpretation", "claim-driven charts", "bilingual reports", "cross-hypothesis synthesis", "assembled into one labeled composite figure" — matching the several-specific-actions anchor. Not 5 because "rigorous interpretation" is somewhat abstract and data-exploration/querying capabilities from the body are not named; not 3 because four-plus distinct concrete actions are enumerated.

Completeness

Explicitly answers both: what ("rigorous interpretation, claim-driven charts, bilingual reports, or cross-hypothesis synthesis from simulation data", "assembled into one labeled composite figure") and when ("Use when an experiment run has completed and the user wants...", "Also use when multiple charts or PNG/JPG assets must be assembled"), with concrete trigger conditions in third-person voice. Matches the 5 anchor's structure of clear what plus explicit when; the neighboring 4 anchor's weaker/less-explicit 'when' does not fit.

Trigger Term Quality

Natural phrases like "experiment run has completed", "charts", "bilingual reports", "composite figure", "PNG/JPG assets", and "simulation data" give good keyword coverage, matching the good-coverage-with-a-few-missing anchor. Not 5 because common user phrasings such as "analyze results", "visualize data", or "explore data" (which the body's When-to-Use does include) are absent, and terms like "cross-hypothesis synthesis" are jargon users would rarely say.

Distinctiveness Conflict Risk

Niche markers like "experiment run has completed", "harness gate PASS", and "cross-hypothesis synthesis" make it mostly distinct from other skills. Not 5 because the platform is never named and generic terms ("charts", "reports", "simulation data") create minor overlap risk with general data-analysis or charting skills; not 3 since overlap is limited rather than broad.