mirror of https://github.com/garrytan/gstack.git
b6b3fbc5e3
generateGBrainContextLoad: 80 -> 115 tokens with explicit skip-header. generateGBrainSaveResults: 500-700 -> 161 tokens per skill with the skill metadata extracted into a typed skillSaveMap (slugPrefix + title + tag). Verbose prose (heredoc body, entity-stub instructions, throttle handling, backlink protocol) moved into a new doc: docs/gbrain-write-surfaces.md (Sections: §Context Load, §Save Template). The agent reads the doc on-demand only when actually saving — one Read call, cached by Claude's context. Net per-planning-skill overhead under un-suppression drops from ~1000 tokens (naive un-suppression) to ~275 tokens (compressed). Combined with the setup-time detection from prior commits, users WITHOUT gbrain pay zero overhead (block suppressed at gen-time) and users WITH gbrain pay ~275 tokens. The /investigate special-case (data-research routing in CONTEXT_LOAD) stays inline since it's skill-specific. docs/gbrain-write-surfaces.md also serves as the manual-probe reference for humans verifying live persistence + a topology summary covering trust-policy + .gbrain-source reads-only semantics. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| .. | ||
| preamble | ||
| browse.ts | ||
| codex-helpers.ts | ||
| composition.ts | ||
| confidence.ts | ||
| constants.ts | ||
| design.ts | ||
| dx.ts | ||
| gbrain.ts | ||
| index.ts | ||
| learnings.ts | ||
| make-pdf.ts | ||
| model-overlay.ts | ||
| preamble.ts | ||
| question-tuning.ts | ||
| review-army.ts | ||
| review.ts | ||
| tasks-section.ts | ||
| testing.ts | ||
| types.ts | ||
| utility.ts | ||