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weather

Get current weather and forecasts (no API key required).

61

Quality

73%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./raven/memory_engine/skills/weather/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

93%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 skill body is a lean, fully executable reference with well-organized sections and no unnecessary explanation. A small explicit verification step on the JSON fallback path would make the workflow fully airtight.

Suggestions

For the Open-Meteo fallback, add a brief note to verify the JSON response (e.g., check current_weather keys) before relying on the output.

Optionally clarify the relationship between the two services' outputs so Claude picks the right one per intent.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence: short one-liners, format codes, and a compact tips list with no padding or explanation of concepts Claude already knows.

5 / 5

Actionability

Fully executable copy-paste-ready curl commands cover the common cases, with concrete examples and a working fallback JSON endpoint.

5 / 5

Workflow Clarity

The single-task skill has an unambiguous primary action with a labeled fallback, but the Open-Meteo path lacks an explicit verify-the-JSON step before parsing, a minor validation gap.

4 / 5

Progressive Disclosure

Under 50 lines with no external references needed; content is well-organized into clear labeled sections, satisfying the simple-skill exception for a top score.

5 / 5

Total

19

/

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 is concise and third-person with a clear niche, but it omits any explicit 'Use when...' trigger guidance and only lists a couple of concrete actions. Adding trigger phrases and more capability specifics would raise the score.

Suggestions

Add a 'Use when...' clause (e.g., 'Use when the user asks for current weather, forecasts, or temperature for a location').

Enumerate more concrete actions to lift specificity (e.g., 'Get current conditions, hourly and daily forecasts, and location-based weather').

Include natural trigger synonyms such as 'temperature', 'forecast', and 'conditions' that users commonly say.

DimensionReasoningScore

Specificity

The phrase 'Get current weather and forecasts' names the domain and one to two concrete actions (current weather, forecasts), but does not enumerate comprehensive capabilities.

3 / 5

Completeness

It gives a clear 'what' but entirely lacks a 'Use when...' trigger clause, which the guidelines cap at 3.

3 / 5

Trigger Term Quality

It includes natural terms ('weather', 'forecasts') but omits common synonyms and specifics like 'temperature', 'forecast', or location-based phrasing users would say.

3 / 5

Distinctiveness Conflict Risk

The weather niche is fairly distinct with minimal overlap risk; the parenthetical '(no API key required)' narrows it further, though it could be more specific.

4 / 5

Total

13

/

20

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

13

/

16

Passed

Repository
EverMind-AI/Raven
Reviewed

Table of Contents

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