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LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/wiki/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%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 well-organized, single-file operations reference with fully concrete tool-call examples for every operation, so actionability and structure are strong. Weaknesses are the off-topic Model Routing section (generic harness knowledge padding token budget) and the absence of any operational workflow or validation guidance around destructive operations like wiki_delete.

Suggestions

Trim or remove the Model Routing section's generic delegation explanation, keeping at most a one-line model recommendation table — it is not wiki-specific and inflates token cost.

Add brief validation guidance for destructive/batch operations, e.g. run wiki_read before wiki_delete to confirm the target page, and suggest a periodic wiki_lint cadence after ingest operations.

Add one or two lines sequencing the operations (query before answering, ingest after significant discoveries, lint on demand) so a reader knows when each applies.

DimensionReasoningScore

Conciseness

The operations, categories, storage, and constraints sections are lean, but the Model Routing section spends seven lines on generic delegation behavior ('The session model chosen with /model applies to the main loop only...') that is harness knowledge rather than wiki-specific instruction, plus a throwaway 'Inspired by Karpathy's LLM Wiki concept'. Mostly efficient but includes unnecessary explanation that could be tightened — fits anchor 3 better than anchor 4's 'minor instances'.

3 / 5

Actionability

Every operation has a concrete, complete invocation with realistic parameter values — wiki_ingest({ title: "Auth Architecture", tags: ["auth"], category: "architecture" }), wiki_query({ query: "authentication", tags: ["auth"] }), wiki_lint(), wiki_add, wiki_list, wiki_read, wiki_delete. These are copy-paste ready and cover all documented operations, matching the anchor 5 example's completeness.

5 / 5

Workflow Clarity

Operations are individually documented but never sequenced into a workflow (e.g. when to ingest vs quick-add, when lint runs, how cross-references get created), and wiki_delete is a destructive operation with no validation or confirmation guidance, which caps workflow clarity at 3 per the feedback-loop rule. Not score 2 because each operation's steps are concrete and the query section does specify the synthesis loop ('YOU synthesize answers with citations from the results').

3 / 5

Progressive Disclosure

A single self-contained file with clear section headers (Operations, Categories, Storage, Cross-References, Auto-Capture, Hard Constraints), no nested references, and no bundle files to navigate — everything is one level deep and easy to scan. The content is compact enough that no material belongs in a separate reference file.

5 / 5

Total

16

/

20

Passed

Description

45%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 a terse label of what the artifact is rather than a capability statement: it names the domain but lists no operations and gives no guidance on when to invoke the skill. Trigger terms are present but thin on natural user phrasings.

Suggestions

Add concrete actions to the description, e.g. 'Ingest, query, lint, and cross-link project knowledge as persistent markdown wiki pages' — this lifts specificity and completeness simultaneously.

Add an explicit 'Use when...' clause, e.g. 'Use when the user says wiki, asks to record/query project knowledge, or wants session discoveries persisted.'

Include natural user phrasings and synonyms (notes, document this decision, knowledge base, remember for next session) to improve trigger term quality and distinctiveness.

DimensionReasoningScore

Specificity

The description names the domain concretely ("persistent markdown knowledge base", "compounds across sessions") but contains zero action verbs — no mention of ingest, query, lint, or add operations. It matches 'names the domain but actions are minimal or generic' rather than anchor 1, since it is not pure abstract language like 'helps with documents'.

2 / 5

Completeness

There is an identifiable 'what' (a persistent, compounding markdown knowledge base), but the 'when' is entirely absent — no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. It cannot score 4 because no usage timing is stated even weakly.

3 / 5

Trigger Term Quality

It contains some relevant natural keywords ("wiki", "markdown", "knowledge base", "sessions") but misses common user variations and synonyms like 'notes', 'documentation', 'remember this', or 'document the decision'. Fits 'some relevant keywords but missing common variations or synonyms'.

3 / 5

Distinctiveness Conflict Risk

"Wiki" is moderately distinctive, but "knowledge base" is broad and would overlap with documentation, note-taking, and session-memory skills. Somewhat specific but could still overlap with similar skills; not 'very broad' (anchor 2) because the markdown/session-compounding framing narrows it.

3 / 5

Total

11

/

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

Yeachan-Heo/oh-my-claudecode

Path

skills/wiki/SKILL.md

Reviewed

Table of Contents

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