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infinite-gratitude

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

Quality

56%

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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-claude/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

47%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.

The body is a brief, well-sectioned stub that delegates everything substantive to an external repository. It is efficient in length but provides almost no executable guidance — a single clone command — and no workflow or validation structure, so it cannot function as a usable skill on its own.

Suggestions

Inline the core usage steps (how the 10 agents are orchestrated, how to invoke the skill, what output to expect) instead of deferring entirely to the external repository.

Remove the duplicated frontmatter description in the '## Description' section and the 'battle-tested' marketing phrase to eliminate redundant tokens.

Add at least a minimal sequenced workflow with a validation checkpoint (e.g., verify the repo is cloned and the entrypoint runs) before pointing users to external instructions.

DimensionReasoningScore

Conciseness

The body is short and mostly lean, but the '## Description' section restates the frontmatter description verbatim and repeats the 'battle-tested with real case studies' fluff — minor padding that could be trimmed. This matches anchor 4 (efficient with minor instances of over-explanation) rather than anchor 5, where every token would earn its place.

4 / 5

Actionability

The only concrete command is 'git clone https://github.com/sstklen/infinite-gratitude'; everything else is high-level direction ('refer to the official repository for installation and usage instructions') with no specific steps for actually executing research. This matches anchor 2 (minimal concrete guidance, missing the steps to execute), not 3, because there is no partial workflow — just a pointer.

2 / 5

Workflow Clarity

There is a rough hint of sequence (clone the repo, refer to it for usage) but no defined steps for the research workflow itself and no validation checkpoints. This matches anchor 2 (rough sequence with many gaps, steps poorly defined); it is above anchor 1 only because the clone command gives a starting action.

2 / 5

Progressive Disclosure

The skill is under 50 lines with clean, well-labeled sections (Description, When to Use, How to Use) and no nested internal references, which per the rubric can support a high score. It falls short of 5 because all substantive content is deferred to an external URL rather than organized one-level-deep bundle files, leaving the skill body without any locally actionable detail.

4 / 5

Total

12

/

20

Passed

Description

45%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.

The description communicates a clear domain and one concrete parameter (10 agents) but relies on generic action language and marketing fluff, and entirely lacks 'when to use' trigger guidance. It would rarely be selected confidently over competing research skills.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks for deep or parallel research on a topic, wants multiple agents to gather and synthesize information, or mentions multi-agent research.'

Replace 'battle-tested with real case studies' with concrete capabilities, e.g. 'orchestrates 10 agents to research subtopics in parallel, then synthesizes findings into a single report.'

Include natural trigger synonyms such as 'deep research', 'parallel research', 'multi-agent research', and 'research a topic' to improve matching.

DimensionReasoningScore

Specificity

The description names the domain ('multi-agent research skill for parallel research execution') but its only action phrase is generic, and 'battle-tested with real case studies' is marketing fluff rather than a concrete capability; the single concrete detail is '10 agents'. This fits anchor 2 (domain named, minimal/generic actions) more than anchor 3, which requires 1-2 concrete actions.

2 / 5

Completeness

The 'what' is stated clearly (parallel research execution via 10 agents) but there is no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. Not 4 because the 'when' is entirely absent rather than merely implicit.

3 / 5

Trigger Term Quality

'multi-agent research' and 'parallel research' are relevant keywords a user might say, but common variations and synonyms ('deep research', 'investigate a topic', 'literature review') are missing, matching anchor 3. It is above anchor 2 because the keywords present are topical rather than purely generic.

3 / 5

Distinctiveness Conflict Risk

'Multi-agent research' with '10 agents, parallel research execution' is somewhat specific, but it could overlap with other research or orchestration skills and carries no distinct trigger phrases, matching anchor 3. Not 4 because the niche is not sharply separated from adjacent skills.

3 / 5

Total

11

/

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.

Validation — 15 / 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

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills-claude/skills/infinite-gratitude/SKILL.md

Reviewed

Table of Contents

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