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aligned-stem-workflow

Incremental audio production with duration alignment handling, per-stem verification, and adaptive extension strategies

58

Quality

68%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./benchmarks/gdpval/skills/audio-track-production-enhanced-enhanced/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%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 highly actionable and exemplarily workflow-structured with strong validation feedback loops, but it is monolithic (no file-level progressive disclosure) and carries enough restated prose and debug noise that conciseness suffers.

Suggestions

Trim the 'Key Differences from Standard Workflow' section and inline debug print statements, since the numbered steps already demonstrate those properties.

Move the detailed alignment-strategy reference table and code, plus the Troubleshooting section, into separate reference files (e.g., ALIGNMENT.md, TROUBLESHOOTING.md) linked from the overview to improve progressive disclosure.

Cut explanatory intro prose ('This skill provides a resilient pattern...') to a one-line purpose statement so the body leads with action.

DimensionReasoningScore

Conciseness

The body is mostly functional executable code, but the 'Key Differences from Standard Workflow' section restates what the steps already show, the intro prose is explanatory, and the code carries verbose docstrings and debug print statements that could be trimmed; it is not severely padded but could be noticeably tighter.

3 / 5

Actionability

It provides complete, copy-paste-ready Python functions with real imports (soundfile, numpy, scipy) covering timing, generation, verification, alignment, effects, mastering, and archiving across the common cases.

5 / 5

Workflow Clarity

Eight steps are given in strict order with an explicit 'must pass verification before proceeding' rule, immediate per-stem verification, fail-fast RuntimeError feedback loops, and a final comprehensive verification plus troubleshooting.

5 / 5

Progressive Disclosure

Section headers are clear and well-ordered, but the skill is a monolithic ~680-line single file with no bundle files and no references to separate files; substantial content (the long alignment-strategy logic, troubleshooting) that could be split out is inlined.

3 / 5

Total

16

/

20

Passed

Description

58%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 conveys a clear, specific domain and several concrete capabilities but omits any 'when to use' trigger guidance, capping completeness, and its keywords are more technical than the natural phrases a user would actually say.

Suggestions

Add a 'Use when...' clause with concrete trigger phrases (e.g., 'Use when producing multi-stem audio tracks, aligning stem durations, or mixing music with .wav files').

Include natural user-facing synonyms and file extensions such as 'music production', 'mixing', 'mastering', and '.wav' alongside the technical terms.

Lead capabilities with verb-led actions ('Generate, verify, and align audio stems...') rather than noun phrases to sharpen specificity.

DimensionReasoningScore

Specificity

The description lists several specific capabilities ('duration alignment handling', 'per-stem verification', 'adaptive extension strategies') tied to a clear domain, with only minor coverage gaps; it sits above the 1-2 action examples of a 3 but below the fully comprehensive verb-led list of a 5.

4 / 5

Completeness

It gives a clear 'what' (incremental audio production with named sub-capabilities) but has no 'Use when...' clause or equivalent trigger guidance, so completeness is capped at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

It includes some relevant natural terms ('audio production', 'stems') but leans technical ('per-stem verification', 'adaptive extension strategies') and omits common synonyms and file extensions users would say (.wav, mixing, mastering, music).

3 / 5

Distinctiveness Conflict Risk

The niche (aligned, verified stem production) is clearly distinguishable from most skills with only minor overlap risk against general audio skills; it lacks the explicit distinct trigger phrases that would earn a 5.

4 / 5

Total

14

/

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

skill_md_line_count

SKILL.md is long (684 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository
HKUDS/OpenSpace
Reviewed

Table of Contents

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