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deep-research

Courses whose content rests on current, external or real-world facts that must be verified against live sources before being taught — recent events, market or policy data, product and version specifics, scientific developments, named cases. Researches the topic first, keeps a claim-to-source ledger, and grounds the outline and every page in what was actually fetched. Use when the request depends on up-to-date or externally checkable facts; not for timeless textbook topics that stand on established knowledge alone.

67

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, actionable research workflow with explicit budgets, tool calls, and completion criteria. It earns 4s across the board: tight and concrete but with minor editorial padding, implicit checkpoints, and no external reference files to exercise progressive disclosure.

Suggestions

Tighten editorial asides like "every extra call is latency the user watches" into directive constraints to lift conciseness toward 5.

Make the Step 7 completion check an explicit enforced gate (e.g., a checklist Claude must satisfy before moving to outline grounding) to strengthen workflow_clarity.

Consider splitting the ledger format and conflict-resolution rules into a short reference file so SKILL.md stays a lean overview, improving progressive_disclosure.

DimensionReasoningScore

Conciseness

Mostly lean and purposeful — names tools and budgets without explaining what they are — with a few editorial asides ("every extra call is latency the user watches") that could be trimmed, short of a 5.

4 / 5

Actionability

Instruction-only but concrete: specific tool calls (list_materials, fetch_url, generate_scene.materialFacts) and hard budgets ("at most 8 web_search calls", "at most 6 URLs") give executable guidance with minor gaps.

4 / 5

Workflow Clarity

A clear nine-step sequence with an explicit completion checkpoint in Step 7 and conflict-handling in Step 6; non-destructive so the destructive-cap does not apply, but a couple of checkpoints are implicit rather than enforced.

4 / 5

Progressive Disclosure

Well-organized into labeled sections (Structure, Steps 1–9, Scene naming, Hard rules) with no nested or buried references; no bundle files exist, and the inline content is appropriately kept in one coherent process file, though a few sub-sections could be split.

4 / 5

Total

16

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: third person, explicit what-and-when, concrete trigger phrases, and a clear negative boundary that distinguishes it from generic course skills. Slightly below maximal on specificity and trigger-term variation.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions — "Researches the topic first, keeps a claim-to-source ledger, and grounds the outline and every page in what was actually fetched" — but stops short of the fully comprehensive action list of a 5.

4 / 5

Completeness

Explicitly answers both what (research, ledger, ground outline/pages) and when ("Use when the request depends on up-to-date or externally checkable facts; not for timeless textbook topics") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural keyword coverage ("recent events, market or policy data, product and version specifics, scientific developments, named cases", "up-to-date or externally checkable facts") with only minor synonyms missing, short of the exhaustive variation a 5 demands.

4 / 5

Distinctiveness Conflict Risk

A clear niche (verification-driven course design) with a negative boundary ("not for timeless textbook topics that stand on established knowledge alone"), minimizing overlap with a generic course-design skill.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
THU-MAIC/OpenMAIC
Reviewed

Table of Contents

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