verify-forecasting-docs

verify-forecasting-docs is a Docs quality & drift control skill for AI agents, published by lightning-rod-labs in the lightningrod-python-sdk repository on GitHub. Skillspace rates verify-forecasting-docs D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Verify the forecasting docs (quickstart.md, sdk.md, openai.md) by executing every Python code snippet and checking that the surrounding prose accurately describes the actual behavior. Use when docs have changed, when the SDK has changed, or when a new API feature is added.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
56

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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