research-and-verification

research-and-verification is an Agent behaviour & coding discipline skill for AI agents, published by UnpaidAttention in the fable5-methodology repository on GitHub. Skillspace rates research-and-verification D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Verify version-sensitive and time-changing facts against real sources before relying on them, instead of answering from training memory that has a cutoff date. Trigger this before using any library/framework API, method signature, config option, or CLI flag you have not confirmed this session; before quoting a version, price, quota, rate limit, or model ID; when asked "what's the latest / newest way to do X"; when the project pins a specific version; and whenever a fact could have changed since your training cutoff. Do NOT trigger for stable knowledge (language syntax, algorithms, math, frozen standards) or for uncertainty about internal codebase APIs (use codebase-exploration/uncertainty-management — though the environment-first source here overlaps and is compatible).

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

83

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