Conciseness

The body is dense operational guidance — an operations table with defaults and ranges, response shape, auth header, and error handling — with no explanations of concepts Claude already knows and no padding; every token carries skill-specific information.

Actionability

Highly concrete guidance: named tool 'get_stock_research' on a specified MCP server, per-operation arguments with exact defaults and ranges ('Default 10 trading days, range 3..30'), response shape '{operation, data}', REST routes, and the 'X-WorldMonitor-Key' header. The minor gap is the absence of a literal example invocation or sample response, keeping it just below copy-paste-ready.

Workflow Clarity

The flow is clear (choose operation, construct args, read 'available' before numerical results, retain metadata, report with provenance) with explicit batch handling ('Never silently drop requested tickers; narrow the batch or use jmespath') and error checkpoints ('Respect billing denials, rate limits and Retry-After'). It is not a 5 because the sequence is implied rather than enumerated and there are no explicit validate-then-proceed loops.

Progressive Disclosure

The skill is under 50 lines with no external references needed, and its content is well organized into clearly headed sections (Connected plugin, REST and authentication, Errors, Content safety), which per the rubric's simple-skill guidance earns the top anchor.

Specificity

The description lists four concrete, distinct operations ('Read current stock research, technical backtests, saved analyses or saved backtests') plus concrete behaviors ('preserve source dates, model limitations and risk factors'), comprehensively covering the skill's operation set with no real gaps, matching the anchor for multiple specific concrete actions.

Completeness

It has a clear 'what' (the four read operations) and an explicit 'Use for a named ticker or watchlist research history' trigger, but the 'when' clause only covers history lookup and omits triggers for current analysis or running a backtest, so the 'when' could be more explicit and broader.

Trigger Term Quality

Natural trigger phrases are present ('stock research', 'technical backtests', 'ticker', 'watchlist research history'), but a few natural terms users would say are missing, such as 'stock analysis', 'quotes', 'equities', or 'symbol', placing it between good coverage (4) and comprehensive coverage (5).

Distinctiveness Conflict Risk

Distinctive terms like 'technical backtests', 'ticker', and 'watchlist research history' carve a clear niche, but 'stock research' has minor overlap risk with general web-research or market-quote skills, matching 'mostly distinct; minor overlap risk with closely related skills'.