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rerun-docs

Where the Rerun documentation and code snippets live on disk and how to search them. Read this before answering a question about how Rerun works, what an archetype or view does, how to log or query data, or when you need a copy-pastable example in Python, Rust, or C++.

70

Quality

86%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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 an efficient, well-structured navigation guide that tells Claude exactly where Rerun docs and snippets live and how to search them, with concrete commands and path patterns. The only small gap is the absence of an explicit search-refinement recovery loop in the workflow.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence ("Read them instead of guessing."), with no padding or explanation of what Rerun is; every token earns its place, matching the level-5 anchor.

5 / 5

Actionability

It gives a concrete executable command (`rg -l "<term>" docs/content docs/snippets/all`) and precise per-task path patterns, but most guidance is path-template direction (e.g. `docs/snippets/all/archetypes/<x>.py`) rather than fully copy-paste-ready steps, leaving a small gap below level 5.

4 / 5

Workflow Clarity

The numbered "How" sequence (search first, open the right file pair per question type, give the website URL, WebFetch off-disk refs) is clearly ordered and well-scoped; as a read-only search skill it needs no validation checkpoints, but it lacks an explicit "if not found, broaden/refine" recovery loop.

4 / 5

Progressive Disclosure

Under 50 lines with no bundle files needed, it is well-organized into Where/Layout/How sections with a clear navigation table; per the simple-skill scoring note, this earns a 5 with just well-organized sections.

5 / 5

Total

18

/

20

Passed

Description

87%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 strong: it clearly states both what the skill covers (locating/searching Rerun docs and snippets on disk) and when to invoke it, using natural user phrasing tied to a specific named product. Minor room to widen the concrete action vocabulary and add a few more trigger synonyms.

DimensionReasoningScore

Specificity

"Where the Rerun documentation and code snippets live on disk and how to search them" names the domain and several concrete actions (locate on disk, search), but the action set is narrow rather than comprehensive, sitting just below the level-5 anchor.

4 / 5

Completeness

It explicitly answers both what ("where the Rerun documentation and code snippets live on disk and how to search them") and when ("Read this before answering a question about how Rerun works...") with concrete trigger phrases, matching the level-5 anchor.

5 / 5

Trigger Term Quality

Natural user phrases like "how Rerun works," "what an archetype or view does," "how to log or query data," and "copy-pastable example in Python, Rust, or C++" give strong keyword coverage with language variants, though a few common terms (e.g. blueprint, recording) are absent.

4 / 5

Distinctiveness Conflict Risk

"Rerun" is a specific named product with distinctive triggers (archetype, view, log/query), giving it a clear niche and minimal overlap with other skills.

5 / 5

Total

18

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
rerun-io/rerun
Reviewed

Table of Contents

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