Conciseness

The body is lean and operational throughout — an 8-step workflow, five copy-paste CLI examples each mapped to a documented use case, an output tree, and a flags table — with zero explanation of concepts Claude already knows. Every section earns its tokens, matching the 'lean and efficient; assumes Claude's competence' anchor; there is nothing to trim that would justify a 4.

Actionability

All guidance is fully executable: five complete bash invocations of scripts/orchestrate_edge_pipeline.py covering the common cases (tickets, OHLCV, resume, review-only, dry-run), a concrete YAML hint example with real field values, and flags documented with defaults and constraints (e.g. "--max-synthetic-ratio N ... floor: 3", "--overlap-threshold F ... default: 0.75"). This matches the 'fully executable; copy-paste ready' anchor.

Workflow Clarity

The Workflow section gives a clearly sequenced 8-stage process with an explicit feedback loop ("REVISE verdicts trigger apply_revisions and re-review", "Remaining REVISE after max iterations downgraded to research_probe"), and safety/validation mechanisms are present: the review stage validates every draft, --strict-export tightens export eligibility, and --dry-run previews without exporting. This matches the 'explicit validation steps; feedback loops for error recovery' anchor, so the batch-operation cap does not apply.

Progressive Disclosure

The body is a clear overview that appropriately pushes detail to two well-signaled, one-level-deep references ("references/pipeline_flow.md — Pipeline stages, data contracts, and architecture", "references/revision_loop_rules.md — Review-revision feedback loop rules and heuristics"), both of which exist and do not nest further, matching the top anchor. Minor inline details (CLI flags, output tree) are correctly kept in SKILL.md as operational essentials.

Specificity

"Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export" names the domain and enumerates several concrete pipeline stages, matching the 'lists several specific actions; minor gaps in coverage' anchor. It falls short of 5 because the actions are stage names rather than concrete operations and coverage is incomplete (no mention of resume, dry-run, or review-only modes that the skill supports).

Completeness

Both parts are present: a clear 'what' (orchestrate the pipeline from detection through export) and an explicit 'when' clause ("Use when coordinating multi-stage edge research workflows end-to-end"), matching anchor 4. It does not reach 5 because the 'when' is largely a circular restatement of the 'what' rather than concrete, varied trigger phrases.

Trigger Term Quality

Relevant keywords like "edge research pipeline", "strategy design", and "candidate detection" are present, but the description misses natural variations a user would say such as "run the edge pipeline", "edge research", or "strategy discovery/backtesting", matching the 'some relevant keywords but missing common variations or synonyms' anchor. It is above 2 because the domain terms are specific rather than generic, but below 4 due to thin synonym coverage.

Distinctiveness Conflict Risk

"Edge research pipeline" carves out a clear niche with domain-specific triggers (candidate detection, strategy design, review, revision, export) that are unlikely to collide with other skills, matching the 'clear niche with distinct triggers; minimal conflict risk' anchor. The 'pipeline/workflow' framing is broad, but the edge-research domain qualifier makes confusion unlikely.