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reference-catalog

Maintain and validate SD.Next model reference catalogs in data/reference*.json, including schema consistency, deduplication, link checks, and thumbnail alignment.

Quality

72%

Does it follow best practices?

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tessl review fix ./.github/skills/reference-catalog/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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-organized, highly actionable maintenance procedure with concrete file paths, deterministic rules, and a validating workflow — appropriate for a batch-editing skill. Its weaknesses are redundancy (wiki and size-backfill rules each stated in 3-4 places) and a monolithic single-file structure that inlines two detailed procedures that would fit reference files. The workflow also lacks an explicit fix-and-revalidate loop.

Suggestions

Consolidate the wiki-reconciliation and size-backfill rules into one authoritative section each, and have the checklist and workflow reference them instead of restating the details.

Show the actual cli/hf-info.py invocation (interpreter and arguments, e.g. how the owner/name path is passed) so the backfill step is copy-paste executable, and add an explicit "if validation fails, fix and re-run" loop to the Safe Edit Workflow.

Move the detailed wiki reconciliation and size-0 backfill protocols into reference files (e.g. references/wiki-reconciliation.md, references/size-backfill.md) and keep SKILL.md as a concise overview with clearly signaled one-level-deep links.

DimensionReasoningScore

Conciseness

The body assumes Claude's competence and avoids explaining known concepts, but the same rules are repeated in multiple places: wiki reconciliation appears as a dedicated section, again as checklist item 4, and again in workflow steps 3/6; size backfill appears in Core Rules, checklist item 8, workflow step 4, and failure modes. This is more than minor over-explanation (anchor 4) but the content is still mostly efficient, fitting anchor 3.

3 / 5

Actionability

Guidance is concrete and executable — exact paths ("cli/hf-info.py", "wiki/Model-Support.md", "models/Reference"), a precise output format ("info.data.size ... e.g. \"23933.4MB\""), and deterministic math ("gb = round(mb / 1024, 2)") — with a fully specified resolution policy for unresolved sizes. The gap keeping it from anchor 5 is that the hf-info.py invocation itself (arguments, interpreter) is never shown, so commands are not fully copy-paste ready.

4 / 5

Workflow Clarity

The 7-step Safe Edit Workflow is clearly sequenced with an explicit validation checkpoint ("Re-validate JSON, duplicate checks, and base-model wiki coverage") plus a full validation checklist, so the batch-operation cap of 3 does not apply. It falls short of anchor 5 because there is no explicit error-recovery loop (e.g. "if validation fails, fix and re-run") — step 6 validates but does not say what happens on failure.

4 / 5

Progressive Disclosure

The single SKILL.md (~130 lines) is well-sectioned with clear headers, but two detailed multi-step procedures — base-model wiki reconciliation and the size-0 backfill protocol — are inlined when they belong in one-level-deep reference files, and no bundle files exist to offload them. This matches anchor 3 (structure present but content that should be separate is inline) rather than anchor 4's "most content is appropriately placed".

3 / 5

Total

14

/

20

Passed

Description

70%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 highly distinctive, with concrete named activities and a well-scoped target file set. Its main weakness is the complete absence of "when to use" trigger guidance, which caps completeness at 3 and limits natural discoverability. Adding a "Use when..." clause covering catalog edits, duplicate cleanup, and thumbnail sync would lift it substantially.

Suggestions

Add an explicit trigger clause, e.g. "Use when adding or updating entries in data/reference*.json, cleaning duplicate or stale model entries, or syncing thumbnails in models/Reference."

Mention the wiki reconciliation (wiki/Model-Support.md, wiki/Models.md) and size backfill duties in the description so the "what" covers the skill's full scope.

Include natural user phrasings such as "model list", "reference files", or "stale entries" alongside the technical terms to improve trigger-term coverage.

DimensionReasoningScore

Specificity

The description names several concrete actions ("schema consistency, deduplication, link checks, and thumbnail alignment") on a specific file set ("data/reference*.json"), but omits major body capabilities like wiki reconciliation and size backfill, leaving minor gaps in coverage. It exceeds anchor 3 (only 1-2 concrete actions) but is not comprehensive enough for anchor 5.

4 / 5

Completeness

It clearly answers "what" (maintain and validate catalogs with named activities) but contains no "Use when..." clause or equivalent trigger guidance, which the rubric explicitly caps at 3. The "when" is not even weakly implied by a usage context, so it cannot reach anchor 4.

3 / 5

Trigger Term Quality

Good natural keyword coverage for the domain — "catalog", "deduplication", "thumbnail", "schema", and the file glob "data/reference*.json" — though common user phrasings like "model list", "stale entries", or "clean up reference files" are absent. A few natural terms are missing rather than whole synonym families, so it sits above anchor 3.

4 / 5

Distinctiveness Conflict Risk

"SD.Next model reference catalogs in data/reference*.json" establishes a clear niche with distinct triggers (specific project, file pattern, and asset locations), making conflict with other skills minimal. It matches anchor 5 exactly and is clearly above anchor 4's "minor overlap risk".

5 / 5

Total

16

/

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

vladmandic/sdnext

Path

.github/skills/reference-catalog/SKILL.md

Reviewed

Table of Contents

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