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circleci-automation

Automate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/circleci-automation/SKILL.md

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

SKILL.md
Quality
Evals
Security

Quality

Content

67%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 well-structured and actionable, providing concrete MCP tool sequences, parameters, and pitfalls for each workflow. Its main weakness is redundancy — ID/slug formats are restated multiple times — and a lack of explicit validate-and-retry feedback loops.

Suggestions

Consolidate the repeated project_slug and ID-format guidance into the Common Patterns / Known Pitfalls sections and reference them once from each workflow to remove redundancy.

Add explicit validation feedback loops for significant operations (e.g., after triggering a pipeline, poll its status until non-running before reporting success).

Replace the generic "When to Use" closing line with concrete trigger conditions or remove it.

DimensionReasoningScore

Conciseness

The body is mostly efficient with concrete tool sequences, but the project_slug format and ID-format pitfalls are repeated across the workflow sections, Common Patterns, and Known Pitfalls, and the closing "When to Use" line is generic filler.

3 / 5

Actionability

Each workflow gives concrete tool slugs, ordered sequences, and named parameters with formats (e.g., "project_slug: gh/myorg/myrepo"), yielding mostly executable guidance with only minor gaps.

4 / 5

Workflow Clarity

Workflows are numbered with [Prerequisite]/[Required]/[Optional] markers that act as checkpoints (e.g., confirm job completed before fetching artifacts), giving a clear sequence with most validation present; only minor feedback-loop gaps remain.

4 / 5

Progressive Disclosure

The single file is well-sectioned (Prerequisites, Setup, Core Workflows, Common Patterns, Known Pitfalls, Quick Reference) with no need for external references at this scope, though some inline reference material could be split out.

4 / 5

Total

15

/

20

Passed

Description

75%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 is specific and distinctive, naming concrete CircleCI actions and a clear tooling niche. Its main weakness is the absence of an explicit "Use when..." trigger clause, which caps completeness.

Suggestions

Add an explicit trigger clause such as "Use when the user wants to trigger or monitor CircleCI pipelines, inspect jobs, or retrieve build artifacts and test results."

Include a few natural synonyms (e.g., "CI/CD", "build status", "test results") to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

"trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata" lists multiple specific concrete actions with comprehensive coverage of the CircleCI automation domain.

5 / 5

Completeness

The "what" is clearly stated, but there is no "Use when..." clause or equivalent explicit trigger guidance — "Always search tools first for current schemas" is procedural, not a usage trigger — so completeness is capped at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Natural CI/CD terms like "trigger pipelines", "monitor workflows/jobs", "retrieve artifacts", and "test metadata" are present, but a few common synonyms (e.g., "CI/CD", "build status", "test results") are missing.

4 / 5

Distinctiveness Conflict Risk

"Automate CircleCI tasks via Rube MCP (Composio)" carves out a clear, distinct niche with tool-specific triggers and minimal overlap risk with other skills.

5 / 5

Total

17

/

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

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