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orchestrate-batch-refactor

Plan and execute large refactors with dependency-aware work packets and parallel analysis.

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/orchestrate-batch-refactor/SKILL.md

The canonical home for this skill is orchestrate-batch-refactor in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

92%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 lean, well-structured orchestration playbook with explicit validation and feedback loops and clean progressive disclosure into two real reference templates. Its only weakness is mild: actionable guidance is concrete but stops short of literal, copy-paste-ready agent-spawn code.

DimensionReasoningScore

Conciseness

The body is lean and well-organized with no padding or explanation of concepts Claude already knows; lists, contracts, and guardrails each earn their place, matching the anchor for lean, efficient content that assumes competence.

5 / 5

Actionability

As an instruction-only skill it provides concrete contracts (planning contract, packet rules), an ordered validation strategy, and real referenced templates with fill-in fields and example commands; minor gaps remain (no literal agent-spawn invocation code), so it is mostly executable rather than fully copy-paste ready.

4 / 5

Workflow Clarity

A six-step sequenced Core Workflow is paired with an explicit ordered Validation Strategy and a feedback loop ('Stop and re-plan when packet boundaries cause repeated merge conflicts'); because validation is present, the batch-operation cap of 3 does not apply, matching the anchor for clear sequence with explicit validation and error-recovery feedback.

5 / 5

Progressive Disclosure

The body is an overview that points via clear markdown links to two real one-level-deep reference files (work-packet-template.md and agent-prompt-templates.md), with content appropriately split, matching the anchor for a clear overview with well-signaled one-level-deep references.

5 / 5

Total

19

/

20

Passed

Description

53%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 clearly states what the skill does but omits any 'when to use' trigger guidance, which caps its completeness. Trigger-term coverage relies on a single natural term ('refactor') surrounded by technical jargon.

Suggestions

Append an explicit 'Use when...' clause naming natural trigger phrases (e.g., 'Use when planning a large multi-file refactor, code restructuring, or parallel rewrite across subsystems').

Add common synonyms users actually say, such as 'restructure', 'rewrite', or 'modernize', alongside 'refactor'.

Concretize the actions, e.g. 'partition work into dependency-ordered packets, spawn parallel analysis and worker agents, and run per-packet validation gates'.

DimensionReasoningScore

Specificity

Names the domain ('large refactors') and several actions ('plan', 'execute', 'dependency-aware work packets', 'parallel analysis'), but these are abstract process descriptors rather than concrete artifact-level operations, matching the anchor for naming the domain with 1-2 actions without comprehensive coverage.

3 / 5

Completeness

It has a clear 'what' ('Plan and execute large refactors...') but no 'Use when...' or equivalent trigger clause; per the judging guidelines a missing explicit trigger clause caps completeness at 3.

3 / 5

Trigger Term Quality

'refactor' / 'large refactors' is a natural user term, but the remainder ('dependency-aware work packets', 'parallel analysis') is technical jargon and common synonyms such as rewrite, restructure, or modernize are missing, fitting the anchor for some relevant keywords but missing common variations.

3 / 5

Distinctiveness Conflict Risk

The niche (large batch refactors with dependency-aware work packets and parallel analysis) is clearly stated and mostly distinct, with only minor overlap risk against closely related general orchestration or refactoring skills.

4 / 5

Total

13

/

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

Table of Contents

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