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client-compatibility

Platform detection and adaptive spawning for CLI vs VS Code vs other surfaces

52

Quality

57%

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tessl review fix ./.copilot/skills/client-compatibility/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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 dense, actionable reference with a clear platform-detection decision procedure, a well-constructed degradation table, and concrete anti-patterns. Its weaknesses are systematic redundancy across the three VS Code sections, examples that are pseudocode rather than complete calls, and the absence of any failure-handling or validation guidance for batch parallel spawns.

Suggestions

Consolidate the VS Code guidance stated three times in Platform Detection, VS Code Spawn Adaptations, and the Feature Degradation Table into a single authoritative section.

Add a validation/failure step for batch parallel spawns, e.g. what to do when a subagent fails or returns an incomplete result (retry inline, re-spawn, or degrade to fallback mode).

Make the TypeScript examples complete rather than `...`-truncated calls, or explicitly justify the pseudocode flexibility.

DimensionReasoningScore

Conciseness

The body assumes Claude's competence and avoids explaining known concepts, but VS Code behavior is stated three times (Platform Detection item 2, VS Code Spawn Adaptations, and the Feature Degradation Table), which is systematic redundancy rather than a minor trim. This fits anchor 3 (mostly efficient but could be tightened), not 2 (no padded filler) and not 4 (the repetition is more than minor).

3 / 5

Actionability

Guidance is concrete and executable: a tool-availability detection procedure, exact parameters to drop or keep ("Drop agent_type, mode, and model parameters"), Scribe-last ordering, and a degradation table. Not 5 because the code examples use `...` placeholders and pseudocode rather than copy-paste-ready calls, leaving minor gaps.

4 / 5

Workflow Clarity

The detection sequence is clearly numbered with fallback and a preference rule, but the batch parallel-spawn workflow has no validation or failure checkpoints (no guidance on what to do when a subagent fails or returns errors). Per the rubric's cap for batch operations without feedback loops, workflow clarity is held at 3 rather than 4.

3 / 5

Progressive Disclosure

There are no bundle files; the ~85-line body is well-organized into Context, Patterns, Examples, and Anti-Patterns with clear section headers and a navigable table. It sits just above the under-50-line exception for a 5, and the redundant VS Code sections could be consolidated, so anchor 4 fits better than 5; not 3 because structure and navigation are good with nothing buried.

4 / 5

Total

14

/

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 states a clear and reasonably specific capability, but it is written as an internal capability label rather than a user-facing trigger description. It completely lacks a "Use when..." clause and leans on jargon ("adaptive spawning", "surfaces") over natural trigger phrases.

Suggestions

Add an explicit trigger clause, e.g. "Use when spawning agents or fanning out subagents that must work across CLI, VS Code, JetBrains, or GitHub.com surfaces."

Replace jargon like "adaptive spawning" and "other surfaces" with natural phrasings users would actually say, such as "subagents", "parallel agents", and "cross-platform".

Enumerate 1-2 more concrete capabilities (e.g. "detects the current platform from available tools and adapts spawning parameters") to strengthen the what.

DimensionReasoningScore

Specificity

The description names the domain ("platform detection and adaptive spawning") and concrete surfaces ("CLI vs VS Code vs other surfaces"), giving 1-2 concrete actions but not a comprehensive list. It does not reach anchor 4 because it never enumerates several specific actions, and it exceeds anchor 2 because it goes beyond a bare domain label.

3 / 5

Completeness

The "what" is clear ("Platform detection and adaptive spawning for CLI vs VS Code vs other surfaces") but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. Not 4 because the "when" is entirely absent rather than merely imprecise.

3 / 5

Trigger Term Quality

"CLI" and "VS Code" are natural terms users would say, but "adaptive spawning" and "other surfaces" are internal jargon, and common variations (agents, subagents, cross-platform, JetBrains, GitHub.com) are missing. This fits anchor 3 (some relevant keywords, missing common variations) rather than 4 (good coverage with only a few missing).

3 / 5

Distinctiveness Conflict Risk

The CLI/VS Code spawning-adaptation niche is mostly distinct from other skills with only minor overlap risk, though "other surfaces" is broad and the absence of explicit trigger phrases keeps it from anchor 5. Not 3, since the specific platform-adaptation focus is clearly distinguishable from generic orchestration 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.

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
bradygaster/squad
Reviewed

Table of Contents

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