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weather

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

58

Quality

69%

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 ./nanobot/skills/weather/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%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 exemplary lean, executable skill: copy-paste curl commands with expected outputs, explicit request-selection guidance to avoid redundant fetches, platform caveats, and a documented fallback. The only improvements are removing the duplicated PowerShell note and adding a concrete geocoding step for the Open-Meteo fallback.

DimensionReasoningScore

Conciseness

The body is lean and command-driven with no concept explanations or padding; the only trim candidate is the duplicated PowerShell caveat (stated once in 'Platform notes' and again after the forecast command). Anchor 4 ('efficient; minor instances of over-explanation that could be trimmed') rather than 5 because of that redundancy.

4 / 5

Actionability

The wttr.in commands are fully executable and copy-paste ready with sample outputs, format codes, and URL-encoding tips, but the Open-Meteo fallback says "Find coordinates for a city, then query" without a concrete geocoding command. Anchor 4 ('mostly executable guidance; concrete code or commands with minor gaps').

4 / 5

Workflow Clarity

A simple single-task skill where the action is unambiguous: it gives explicit request-selection guidance ("Choose one request that matches the user's scope. Do not fetch current conditions separately when a today or forecast request already includes them") and a clear primary/fallback service structure. No destructive or batch operations, so the validation cap does not apply; the simple-skill exception yields 5.

5 / 5

Progressive Disclosure

A simple skill with no bundle files (no references/, scripts/, or assets/ exist), so all content appropriately lives in SKILL.md with well-organized sections for the primary service, fallback, and tips. Meets the simple-skill exception for a top score.

5 / 5

Total

18

/

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 states a clear capability with a useful differentiator (no API key required), but it omits any 'when to use' trigger guidance and misses common natural terms like temperature or rain. It is functional but below the standard set by the reference good examples.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user asks about current conditions, today's weather, or a forecast for a location."

Include natural trigger synonyms such as "temperature", "rain", or "humidity" so the skill fires on the phrasings users actually use.

Optionally mention the JSON/programmatic option (Open-Meteo) and custom output formats to broaden the stated coverage beyond the two core actions.

DimensionReasoningScore

Specificity

"Get current weather and forecasts" names the domain with two concrete actions, but coverage is not comprehensive — no mention of custom formats, PNG output, the JSON fallback API, or location lookup. Fits the 'names domain and 1-2 concrete actions, but not comprehensive' anchor; below 4 which requires several listed actions.

3 / 5

Completeness

The 'what' is clear ("Get current weather and forecasts (no API key required)"), but there is no 'Use when...' clause or equivalent trigger guidance, which the rubric explicitly caps at 3.

3 / 5

Trigger Term Quality

"weather" and "forecasts" are natural core terms, but common variations users actually say — "temperature", "rain", "humidity", "today's weather" — are missing. Matches 'some relevant keywords but missing common variations or synonyms', below the 'good keyword coverage' anchor.

3 / 5

Distinctiveness Conflict Risk

Weather queries are a mostly distinct niche with minor overlap risk against other data-fetch skills; the anchor-5 example includes explicit distinct trigger phrases, which this description lacks, so it sits at 'mostly distinct; minor overlap risk'.

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.

Validation — 13 / 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
HKUDS/nanobot
Reviewed

Table of Contents

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