weather

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

Quality

78%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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Securityby

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./raven/memory_engine/skills/weather/SKILL.md

Quality

Content

100%

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 exemplary concise, actionable reference: executable curl one-liners with outputs, format codes, and tips, plus a clearly signaled JSON fallback. It earns top marks across all content dimensions.

Dimension	Reasoning	Score
Conciseness	Lean and efficient with no concept over-explanation; every line provides a runnable command, format code, or tip.	3 / 3
Actionability	Fully executable curl commands with example output and format codes are copy-paste ready for both primary and fallback services.	3 / 3
Workflow Clarity	A simple read-only skill with an unambiguous single action and a clearly signaled primary/fallback structure; per the rubric, simple skills can score 3.	3 / 3
Progressive Disclosure	Under 50 lines with well-organized sections and no need for external references, satisfying the simple-skills allowance for a 3.	3 / 3
	Total	12 / 12 Passed

Description

57%

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 concrete, naming two specific actions, but it omits an explicit "when to use" trigger clause and broader natural keyword variations. It is distinctive but only partially complete.

Suggestions

Add a 'Use when...' clause naming natural user triggers, e.g. 'Use when the user asks about current conditions, the weather, or a forecast for a location.'

Broaden trigger terms to include common variations like 'temperature', 'rain', or 'forecast for <city>'.

Expand the action list slightly (e.g. 'Get current conditions, daily forecasts, and compact summaries') to push specificity toward 3.

Dimension	Reasoning	Score
Specificity	Names two concrete actions ("Get current weather and forecasts") but is not comprehensive enough to reach a 3.	2 / 3
Completeness	It clearly states what the skill does but lacks any "Use when..." trigger guidance, which the rubric caps at 2.	2 / 3
Trigger Term Quality	"current weather" and "forecasts" are natural user terms, but common variations like "temperature" or "rain" are missing.	2 / 3
Distinctiveness Conflict Risk	Weather is a clear, narrow niche with distinct triggers and is unlikely to conflict with other skills.	3 / 3
	Total	9 / 12 Passed

Validation

81%

Warnings & errors only

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

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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
Path: raven/memory_engine/skills/weather/SKILL.md
Commit: 4c2eb70

Reviewed: about 12 hours ago

Table of Contents

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