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gitlab-automation

Automate GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). Always search tools first for current schemas.

71

1.55x
Quality

70%

Does it follow best practices?

Impact

76%

1.55x

Average score across 3 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./plugins/all-skills/skills/gitlab-automation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%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.

A well-organized, highly concrete tool reference whose main weaknesses are redundancy (pitfalls and tool listings repeated across sections) and the total absence of progressive disclosure — the full API reference lives inline in SKILL.md with no separate files. Destructive/batch operations also lack validation checkpoints, capping workflow clarity.

Suggestions

Move the per-tool parameter and pitfall details into a references file (e.g. references/tools.md) and keep SKILL.md as a concise overview with clearly signaled one-level-deep links, per the progressive-disclosure rationale.

Deduplicate the "Known Pitfalls" section against the per-workflow Pitfalls blocks, and drop or trim the Quick Reference table if tool sequences are already listed per workflow.

Add post-action validation steps for destructive/batch operations, e.g. after creating/updating an issue or branch, re-fetch the resource (GITLAB_LIST_PROJECT_ISSUES / GITLAB_GET_REPOSITORY_BRANCH) to confirm the change took effect, with a fix-and-retry loop on failure.

DimensionReasoningScore

Conciseness

The body is dense and tool-specific with no explanation of concepts Claude already knows, but it carries notable duplication: the "Known Pitfalls" section repeats pitfalls already stated per-workflow ("labels field replaces ALL labels", "assignee_ids: [0]", "author_id and author_username are mutually exclusive"), and the Quick Reference table re-lists the tool sequences. That redundancy is more than the 'minor instances that could be trimmed' of anchor 4, but there is no padding or filler, so it is above anchor 2.

3 / 5

Actionability

Gives concrete executable guidance: exact tool slugs, parameter names with accepted values ("state: opened, closed, locked, merged, or all"), and concrete format examples ("my-group%2Fmy-project", "2024-01-15T10:30:00Z", "bug,critical"). The minor gap keeping it below anchor 5 is the absence of any example tool-call payload showing the arguments assembled together.

4 / 5

Workflow Clarity

Each workflow has a numbered tool sequence with [Prerequisite]/[Required]/[Optional] markers, a "When to use" clause, and the setup section includes verification ("Confirm connection status shows ACTIVE"), so the sequence is clear. However the skill covers destructive and batch operations (issue create/update/close via state_event, project and branch creation) with no post-action validation or fix-and-retry feedback loops, which caps workflow clarity at 3 per the rubric guidelines.

3 / 5

Progressive Disclosure

The body is well-structured with per-workflow sections, a Common Patterns section, and a Quick Reference table, but there are no bundle files at all — roughly 250 lines of per-tool parameter and pitfall reference are inlined in SKILL.md, which is exactly the 'content that should be separate is inline' pattern of anchor 3. It is above anchor 2 because the structure and navigation are good, and below anchor 4 because nothing is split out.

3 / 5

Total

13

/

20

Passed

Description

70%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.

A solid, GitLab-anchored description with good specificity and natural trigger terms, held back mainly by the absence of any explicit "Use when..." trigger clause. Adding one sentence of trigger guidance would lift completeness from 3 to 4-5.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user mentions GitLab, wants to create or update issues/MRs, check CI/CD pipeline status, or manage project branches and members."

Use concrete action verbs (create, update, list, search) instead of domain nouns to sharpen the capability statement, e.g. "Create and update GitLab issues, list and filter merge requests, monitor CI/CD pipelines".

Include common user synonyms such as "MRs", "CI/CD", and "repos" to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Enumerates six concrete operation areas ("project management, issues, merge requests, pipelines, branches, and user operations") plus the concrete behavioral rule "Always search tools first for current schemas". It lists several specific capabilities but frames them as domain nouns rather than comprehensive concrete actions (no create/update/list verbs), so it does not reach the anchor-5 example's level of explicit action coverage.

4 / 5

Completeness

It clearly answers "what" (automating GitLab issues, MRs, pipelines, branches, and user operations) but contains no "Use when..." clause or equivalent explicit trigger guidance — the trailing sentence is an instruction to the agent, not a usage trigger. Per the judging guidelines, a missing explicit trigger clause caps completeness at 3.

3 / 5

Trigger Term Quality

Includes natural terms users would actually say — "GitLab", "issues", "merge requests", "pipelines", "branches" — which is good keyword coverage. A few common variants are missing (e.g., "MRs", "CI/CD", "repos", "GitLab API"), keeping it below the comprehensive synonym/extension coverage of anchor 5.

4 / 5

Distinctiveness Conflict Risk

The description is firmly anchored to "GitLab ... via Rube MCP (Composio)", giving it a clear niche with distinct trigger terms (GitLab, merge requests, pipelines) and minimal conflict risk with other skills. It clearly matches the anchor-5 example of a well-scoped, distinguishable skill.

5 / 5

Total

16

/

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

davepoon/buildwithclaude

Path

plugins/all-skills/skills/gitlab-automation/SKILL.md

Reviewed

Table of Contents

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