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infinite-gratitude

Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).

30

Quality

23%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/infinite-gratitude/SKILL.md

The canonical home for this skill is infinite-gratitude in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

18%Scale 1-5

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

This skill is essentially a stub that points to an external repository without providing any actionable content. It lacks concrete instructions, workflow steps, code examples, or configuration guidance that would enable Claude to actually perform multi-agent research. The skill fails its primary purpose of teaching Claude how to perform a specific task.

Suggestions

Add concrete, executable instructions for how to configure and run the 10-agent research system, including example commands and expected outputs.

Define a clear multi-step workflow: how to initialize agents, assign research topics, monitor progress, and synthesize results, with validation checkpoints.

Include at least one complete example showing input (research topic) and expected output (synthesized research result) so Claude can understand the end-to-end process.

Either inline the essential operational content or provide bundle files with detailed guides, rather than deferring everything to an external repository.

DimensionReasoningScore

Conciseness

The description section repeats information already in the 'When to Use' section, and the 'When to Use' section itself is somewhat verbose for what it conveys. However, the overall content is short and doesn't excessively explain concepts Claude already knows.

3 / 5

Actionability

The skill provides no concrete guidance on how to actually use the multi-agent research system. It merely links to an external repository and provides a git clone command, with no executable instructions, configuration details, commands, or examples of how to orchestrate the 10 agents.

1 / 5

Workflow Clarity

There is no workflow described at all — no steps, no sequence, no validation checkpoints. The entire operational guidance is deferred to an external repository with no inline process description.

1 / 5

Progressive Disclosure

The skill references an external repository but provides no bundle files, no supporting documents, and no structured navigation. The reference to the external repo is clear, but there's essentially no content to disclose progressively — the skill is a near-empty shell pointing elsewhere.

2 / 5

Total

7

/

20

Passed

Description

28%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.

The description is too vague and jargon-heavy to serve as an effective skill selector. It mentions 'parallel research execution' and '10 agents' but fails to describe concrete actions, expected outputs, or when Claude should choose this skill. Marketing language like 'battle-tested with real case studies' adds no functional value for skill selection.

Suggestions

Add a 'Use when...' clause with concrete trigger phrases, e.g., 'Use when the user needs comprehensive research across multiple topics simultaneously, asks for in-depth investigation, or mentions needing parallel searches.'

Replace vague 'research execution' with specific actions, e.g., 'Conducts parallel web searches, synthesizes findings from multiple sources, produces structured research reports with citations.'

Remove marketing fluff ('battle-tested with real case studies') and replace with functional details about what types of research tasks this handles (e.g., market research, literature review, competitive analysis).

DimensionReasoningScore

Specificity

Names the domain ('multi-agent research', 'parallel research execution') but provides no concrete actions—what does 'research' actually entail? '10 agents' and 'battle-tested with real case studies' are implementation details, not capability descriptions.

2 / 5

Completeness

The 'what' is vague ('parallel research execution') and there is no 'when' clause at all. The description fails to explain what kind of research, what outputs are produced, or when Claude should select this skill.

2 / 5

Trigger Term Quality

'Research' is a relevant but very generic keyword. 'Multi-agent' and 'parallel research' are technical jargon rather than natural user phrases. Missing natural terms users would say like 'search', 'investigate', 'find information', 'deep dive', etc.

2 / 5

Distinctiveness Conflict Risk

'Multi-agent' and 'parallel research' provide some distinctiveness from single-agent or general research skills, but 'research' is extremely broad and could overlap with many other skills. The '10 agents' detail adds slight uniqueness but doesn't clarify the niche.

3 / 5

Total

9

/

20

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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