adaptive-stem-alignment

Incremental audio production with duration mismatch handling, adaptive stem extension, and pre-mix alignment verification

Quality

64%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./benchmarks/gdpval/skills/audio-track-production-enhanced-enhanced-b8f537/SKILL.md

Quality

Content

70%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 a well-sequenced, highly actionable audio-production workflow with strong validation feedback loops, but it is verbose and monolithic — it would benefit from tightening and from splitting detail into reference files rather than inlining everything.

Suggestions

Move the detailed duration-alignment strategies, the long `align_stem_duration` implementation, and the troubleshooting/strategy-selection guide into reference files (e.g. references/ALIGNMENT.md, references/TROUBLESHOOTING.md), keeping SKILL.md as a concise overview with one-level-deep links.

Reduce repetition by factoring the per-stem generate/verify/print loops and debug output into shared helpers to cut token usage.

Replace or clearly mark the placeholder sine-wave stem generation so the core examples reflect real production cases rather than TODO-style content.

Dimension	Reasoning	Score
Conciseness	The body is ~735 lines of mostly executable code with repetitive verify/print scaffolding and a restated 'Key Differences' section; it does not over-explain known concepts but could clearly be tightened, matching 'mostly efficient but includes some unnecessary ... could be tightened' rather than the lean 4.	3 / 5
Actionability	Concrete, executable Python is provided for every step with real library calls (soundfile, scipy, numpy), but stem content generation uses explicitly-flagged placeholder sine waves, leaving a minor gap that fits 'mostly executable; minor gaps' rather than the fully-covering 5.	4 / 5
Workflow Clarity	Eight steps are given in strict order, each with immediate verification and fail-fast `raise RuntimeError` feedback loops, plus a final verification checklist, matching 'clear sequence with explicit validation steps; feedback loops for error recovery; checklists'.	5 / 5
Progressive Disclosure	Section headers give real structure, but the skill is a monolithic ~735-line file with no references to separate files (none of references/, scripts/, assets/ exist), so content that belongs in reference files (the alignment-strategy table, the long alignment function, the troubleshooting guide) is inlined, fitting 'some structure but ... content that should be separate is inline'.	3 / 5
	Total	15 / 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 specific, distinguishable audio-production niche with several concrete actions, but omits any explicit 'Use when...' trigger guidance and relies on somewhat technical jargon over natural user phrasing.

Suggestions

Add an explicit trigger clause, e.g. 'Use when generating or aligning multi-stem audio tracks, or when the user mentions stem extension, duration mismatches, or pre-mix alignment.'

Surface natural trigger terms and synonyms users would actually say (e.g. 'stems', 'audio tracks', 'mixing', 'duration mismatch', 'alignment') rather than only technical phrasing.

Tighten 'adaptive stem extension' and 'pre-mix alignment verification' toward language a user would naturally request to lift trigger-term quality above 3.

Dimension	Reasoning	Score
Specificity	Names the audio-production domain plus several concrete actions ('duration mismatch handling', 'adaptive stem extension', 'pre-mix alignment verification'), matching the 'lists several specific actions; minor gaps' anchor rather than the fully comprehensive 5.	4 / 5
Completeness	It states a clear 'what' but contains no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines.	3 / 5
Trigger Term Quality	'audio production' and 'stems' are natural, but 'pre-mix alignment verification' and 'adaptive stem extension' are technical jargon and there are no synonyms or file extensions, fitting 'some relevant keywords but missing common variations'.	3 / 5
Distinctiveness Conflict Risk	The niche (incremental multi-stem audio production with alignment verification) is mostly distinct with only minor overlap risk against general audio skills, matching the 4 anchor better than the fully-distinct 5.	4 / 5
	Total	14 / 20 Passed

Validation

93%

Warnings & errors only

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

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (739 lines); consider splitting into references/ and linking	Warning

	Total	15 / 16 Passed

Repository: HKUDS/OpenSpace
Path: benchmarks/gdpval/skills/audio-track-production-enhanced-enhanced-b8f537/SKILL.md
Commit: 3827781

Reviewed: 12 days ago

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