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alttext-ai-automation

Automate Alttext AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

52

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./composio-skills/alttext-ai-automation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

76%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 content is concise and highly actionable with concrete tool-call examples and a clear connection-checkpoint workflow. Its main gap is the absence of an explicit validation/feedback loop for the batch and remote-workbench operations it recommends.

Suggestions

Add an explicit validate->fix->retry feedback loop after RUBE_MULTI_EXECUTE_TOOL / RUBE_REMOTE_WORKBENCH executions (check response status/errors, fix arguments, retry) to lift the batch-operation workflow cap.

Provide at least one complete, non-placeholder example of a real tool_slug and concrete arguments so the execute step is fully copy-paste ready.

Clarify how to obtain and pass a session_id end-to-end (e.g., where generate_id: true returns it) so the workflow is executable without guessing.

DimensionReasoningScore

Conciseness

The body is lean and token-efficient with no padding or over-explanation of concepts Claude already knows; every section (Prerequisites, Setup, Tool Discovery, Quick Reference) earns its place.

5 / 5

Actionability

Concrete RUBE_* invocations with exact field names and example arguments are largely copy-paste ready, with only minor gaps such as placeholder session IDs and an abstract arguments block in RUBE_MULTI_EXECUTE_TOOL.

4 / 5

Workflow Clarity

Setup and the Core Workflow Pattern are clearly sequenced with a connection-status checkpoint, but the batch/multi-execute operations lack a validate->fix->retry feedback loop, which per the rubric caps workflow_clarity at 3.

3 / 5

Progressive Disclosure

Sections are well-organized with a Quick Reference table and a single one-level-deep external toolkit-docs link, and no bundle files exist; structure is good with only minor organization gaps.

4 / 5

Total

16

/

20

Passed

Description

41%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 identifies a distinct niche but is terse and omits an explicit 'Use when...' trigger clause, capping its completeness. It also leans on technical jargon over natural user phrases.

Suggestions

Add an explicit 'Use when...' clause naming the natural trigger phrases a user would say (e.g., 'Use when automating Alttext AI image descriptions, bulk alt-text generation, or alt-text workflows').

List 2-3 concrete actions the skill performs (e.g., generate alt text, manage Alttext AI connections) rather than only 'search tools first'.

Replace the generic 'Alttext AI tasks' with more natural user-facing terms like 'alt text generation' or 'image accessibility captions'.

DimensionReasoningScore

Specificity

The description names the domain ('Alttext AI tasks via Rube MCP (Composio)') and one concrete action ('search tools first') but does not enumerate the actual operations it automates, leaving it below the score-3 anchor which expects 1-2 concrete actions.

2 / 5

Completeness

It states a clear 'what' (automate Alttext AI tasks) but provides no explicit 'when/Use when' trigger clause, which per the guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

'Alttext AI tasks' and 'search tools first' are narrow technical jargon rather than the natural phrases a user would say when needing this skill, fitting the 'one or two generic keywords; missing the natural phrases' anchor.

2 / 5

Distinctiveness Conflict Risk

The narrow pairing of 'Alttext AI' with 'Rube MCP (Composio)' carves a distinct niche with only minor overlap risk against other Rube/Composio automation skills.

4 / 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

ComposioHQ/awesome-claude-skills

Path

composio-skills/alttext-ai-automation/SKILL.md

Reviewed

Table of Contents

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