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panel-raw-messages

Deep RawMessages panel knowledge: legacy (react-json-tree) vs virtual (@tanstack/react-virtual) implementations, flattenTreeData, TreeNode shape, expansion-state management, shared logic hook, and diff mode.

Quality

74%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./.github/skills/panel-raw-messages/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 tight, well-structured reference with concrete code and types that assumes Claude's competence, but it offers no workflow sequence or validation checkpoints because it is purely informational rather than procedural.

Suggestions

If users of this skill perform edits (e.g. modifying flattenTreeData or expansion logic), add a short workflow with a validation/build checkpoint so workflow_clarity can exceed 3.

Tighten the shared-code file list under "RawMessagesCommon/" into a clean bullet list rather than a trailing "…" enumeration.

DimensionReasoningScore

Conciseness

Lean and largely efficient — annotated code snippets, constant lists, and file paths assume Claude's competence with React/TS; only minor trim opportunities remain (e.g. the trailing "…" file list under shared code).

4 / 5

Actionability

Provides concrete, real TypeScript — the useVirtualizer call, flattenTreeData signature, and TreeNode type — with specific constants; minor gaps (full function bodies omitted) are appropriate for a reference/knowledge skill.

4 / 5

Workflow Clarity

This is a knowledge/reference document rather than a multi-step workflow, so there is no sequence or validation checkpoints; content is organized into clear sections but no procedural flow exists (not a destructive/batch operation, so no lower cap applies).

3 / 5

Progressive Disclosure

Well-organized into clearly labeled sections (Two Implementations, VirtualizedTree, flattenTreeData, Expansion State, Diff Mode, Key Files) with a clearly signaled one-level cross-skill reference ("load `message-path` skill"); no bundle files exist to verify, and minor organization gaps remain in the loose shared-code listing.

4 / 5

Total

15

/

20

Passed

Description

67%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 is specific and well-differentiated, naming a comprehensive set of concrete knowledge areas, but it omits any explicit "when to use" trigger guidance and leans on technical jargon over natural user phrases.

Suggestions

Add a "Use when..." clause naming natural triggers, e.g. working on RawMessages/RawMessagesVirtual panels, debugging tree rendering, or touching flattenTreeData/expansion state.

Soften jargon with user-facing terms alongside internal names (e.g. "expandable message tree inspection" paired with "RawMessages panel").

DimensionReasoningScore

Specificity

Enumerates multiple concrete specifics — "legacy (react-json-tree) vs virtual (@tanstack/react-virtual) implementations, flattenTreeData, TreeNode shape, expansion-state management, shared logic hook, and diff mode" — giving comprehensive coverage of the skill's knowledge scope.

5 / 5

Completeness

The "what" is clear (deep knowledge of RawMessages panel internals), but there is no "Use when..." clause or equivalent trigger guidance, so per the rubric completeness is capped at 3.

3 / 5

Trigger Term Quality

Contains relevant domain keywords ("RawMessages panel", "diff mode") but skews toward internal implementation jargon ("flattenTreeData", "TreeNode shape", "shared logic hook") and lacks the natural phrasings a user would say; missing common synonyms/variations.

3 / 5

Distinctiveness Conflict Risk

"Deep RawMessages panel knowledge" carves out a very specific internal niche with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

16

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

lichtblick-suite/lichtblick

Path

.github/skills/panel-raw-messages/SKILL.md

Reviewed

Table of Contents

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