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inno-deep-research

Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions research, investigation, or needs synthesized analysis with citations.

65

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/inno-deep-research/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

62%

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

A clearly structured instructional skill with a useful output template and worked example, but it is held back by a verbose inline example, somewhat abstract process steps, and a monolithic layout with no progressive disclosure. Tightening the example and concretizing the process steps would raise the score.

Suggestions

Trim the intermittent-fasting example to a skeletal demonstration of the output format rather than a full ~80-line essay, freeing token budget.

Make the Research Process steps more concrete and actionable (e.g., specify how to record citations, how to weight source credibility, when to stop gathering) instead of abstract directives.

Move the worked example and/or source-evaluation criteria into a referenced bundle file (e.g., EXAMPLES.md) so the SKILL.md body stays a lean overview.

DimensionReasoningScore

Conciseness

The process and criteria sections are reasonably lean, but the full intermittent-fasting worked example (~80 lines) is verbose padding that could be shortened without losing the format demonstration.

2 / 3

Actionability

The output-format markdown template and worked example are concrete, but the Research Process steps are abstract directives ("Consider multiple perspectives", "Look for primary and secondary sources") rather than executable instructions.

2 / 3

Workflow Clarity

A clear five-step numbered sequence (Clarify → Identify → Gather → Synthesize → Document) is presented; no validation checkpoints are needed because this is non-destructive research synthesis rather than a batch or destructive operation.

3 / 3

Progressive Disclosure

Sections are well-organized, but the skill is a single ~180-line monolithic file with a large inline example and no external references that could offload detail to bundle files.

2 / 3

Total

9

/

12

Passed

Description

92%

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 with concrete actions, natural trigger terms, and an explicit Use-when clause in proper third-person voice. Its main weakness is the broad "research" niche, which risks overlap with other research-oriented skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "synthesizes information from multiple sources", "gathering sources", "writing research summaries", "analyzing topics from multiple perspectives" — matching the level-3 anchor.

3 / 3

Completeness

Explicitly answers both what ("synthesizes information from multiple sources with citations") and when via a clear "Use when:" clause, satisfying the level-3 anchor.

3 / 3

Trigger Term Quality

Includes natural terms users would say — "in-depth research", "investigation", "research summaries", "synthesized analysis" — giving good coverage of common phrasings.

3 / 3

Distinctiveness Conflict Risk

The "research / investigation" niche is somewhat specific but broad enough to overlap with general web-search or research-adjacent skills, so it is not a clearly distinct niche.

2 / 3

Total

11

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
OpenLAIR/dr-claw
Reviewed

Table of Contents

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