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chunk

Use CircleCI Chunk for AI-assisted CI/CD work through either the Chunk web UI or the chunk-cli. Trigger this skill when users ask to set up Chunk, troubleshoot or fix failing builds with Chunk, configure Chunk environments, schedule/proactively run Chunk tasks, or use chunk-cli commands such as init, validate, build-prompt, auth, sandbox, task, and skill install.

70

Quality

85%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

78%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-structured, lean routing skill that cleanly dispatches to verified one-level-deep references with guardrails and a verification step. The main gaps are minor link duplication and the absence of an explicit error-recovery feedback loop.

Suggestions

Deduplicate the reference links: chunk-ui.md and chunk-cli.md appear in both Workflow step 3 and the Reference Map — keep them in one place to tighten conciseness.

Add one short inline example of a common chunk-cli command (e.g., `chunk validate` or `chunk task run --definition dev --prompt "..."`) so the body is actionable without forcing a reference load for the most frequent case.

Strengthen workflow_clarity with an explicit validate→fix→retry loop (e.g., after `chunk validate` fails, fix and re-run before proceeding) rather than relying on a single terminal verification step.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence (no explanations of CI/CD or CircleCI concepts), but the chunk-ui.md and chunk-cli.md links are repeated in both Workflow step 3 and the Reference Map, a minor redundancy that could be trimmed.

4 / 5

Actionability

Concrete routing criteria (UI vs CLI vs mixed) and context-gathering checklists are actionable, but the executable commands themselves live one level deep in the references rather than inline in the body.

4 / 5

Workflow Clarity

A clear four-step sequence (classify → gather context → execute → verify) with a verification checkpoint and safety guardrails, but it lacks an explicit validate→fix→retry feedback loop for the mutating CLI/sandbox operations it routes to.

4 / 5

Progressive Disclosure

SKILL.md is a concise overview that points to two real one-level-deep references (references/chunk-ui.md, references/chunk-cli.md), clearly signaled via the Reference Map, with no nested-reference chaining.

5 / 5

Total

17

/

20

Passed

Description

92%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 strong, third-person description that clearly states the skill's purpose and provides explicit, concrete trigger guidance spanning both UI and CLI paths. Trigger-term coverage is good but could add a few natural synonyms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across both paths — "set up Chunk", "troubleshoot or fix failing builds", "configure Chunk environments", "schedule/proactively run Chunk tasks" — plus named chunk-cli command families (init, validate, build-prompt, auth, sandbox, task, skill install), giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers what ("Use CircleCI Chunk for AI-assisted CI/CD work through either the Chunk web UI or the chunk-cli") and when ("Trigger this skill when users ask to…") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural phrases users would say ("set up Chunk", "fix failing builds", "configure Chunk environments", "run Chunk tasks") and concrete command names, but lacks common synonyms/variants a user might phrase differently.

4 / 5

Distinctiveness Conflict Risk

Tied to a specific named product ("CircleCI Chunk", "chunk-cli") with distinct triggers, so overlap with unrelated skills is minimal.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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