check-forecast-signals

Retrieve probabilistic forecasts and their scorecard context. Use when the user asks what World Monitor is forecasting, how probabilities shifted, or how calibrated the forecasts are.

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Low

Low-risk findings worth noting

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 a tight, actionable API reference with executable examples, explicit degraded-state handling, and a strong content-safety guardrail. Structure and navigation are strong; the only minor gap is the absence of an explicit numbered call sequence.

Dimension	Reasoning	Score
Conciseness	The body is lean with no concept over-explanation and every section earns its place; the full response-shape JSON with every nested field spelled out is slightly more than strictly needed, keeping it just below a 5.	4 / 5
Actionability	A copy-paste-ready curl worked example, fully-qualified endpoint URLs, a parameter table with a concrete JMESPath projection, and explicit error codes give fully executable guidance covering the common cases.	5 / 5
Workflow Clarity	The call flow (auth header -> call endpoint -> interpret degraded/stale/error flags) is clear with checkpoints for backend failures, but the sequence is conveyed through sections rather than an explicit numbered workflow.	4 / 5
Progressive Disclosure	With no bundle files present, the single self-contained SKILL.md is well-organized into clearly-headed sections and points to external OpenAPI/auth docs one level deep, giving easy navigation appropriate for an API skill.	5 / 5
	Total	18 / 20 Passed

Description

82%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, third-person, and cleanly answers both what the skill does and when to invoke it with natural trigger phrases. It is distinct thanks to product-specific framing, with only minor room to broaden trigger synonyms and enumerate more actions.

Dimension	Reasoning	Score
Specificity	"Retrieve probabilistic forecasts and their scorecard context" names the domain and two concrete retrieval actions but does not enumerate a comprehensive set of capabilities, matching the 1-2-actions anchor.	3 / 5
Completeness	It clearly states what the skill does (retrieve forecasts and scorecard context) and gives an explicit "Use when..." clause with concrete trigger phrases, satisfying both what and when.	5 / 5
Trigger Term Quality	"what World Monitor is forecasting, how probabilities shifted, or how calibrated the forecasts are" are natural user phrases with good coverage, though a few synonyms (e.g. scenario probabilities, forecast accuracy) are not all present.	4 / 5
Distinctiveness Conflict Risk	Naming the specific product "World Monitor" alongside forecast/calibration triggers carves a clear niche with minimal overlap risk against other skills.	5 / 5
	Total	17 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: koala73/worldmonitor
Path: skills/check-forecast-signals/SKILL.md
Commit: da33e7a

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.