Unverified50% confidenceEventExact time
The author ran ruleherd on his own machine (including scanning the global configuration) and got GRADE B (85/100), scanning out 9 instruction files, about 4,757 tokens of agent context, and three duplicated passages each appearing in 6 files.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/14/2026
First Seen
Valid until: 10/28/2026
Sources
Related Entities
Related Claims
UnverifiedWAL 模式的检查点操作默认在超过 1000 页时自动触发69% similarUnverified作者在126,886词的语料中手动映射并验证了8个检查点锚点,覆盖从第13页开篇到第379页结尾,平均每约48页一个校正点64% similarUnverifiedContext length refers to the number of tokens a model can remember at one time, and a span from 4000 to 64000 means that long-document processing capability and VRAM usage will expand simultaneously.61% similarUnverifiedThe author places a NOTES.md file next to each externally sourced skill to record the upstream repository, commit, date, and reason for adoption, and sets vendored skills to read-only.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1025772API
curl https://kongchang.com/api/v1/knowledge/claims/1025772MCP
get_claim(id=1025772)