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# Governed Skill Evolution from Persistent Agent Experience
This repository contains a prospective ablation and cross-model transfer study
inspired by WikiSkill. It evaluates three ways to retain experience while
evolving a procedural Skill for permission-safe repository planning:
- no persistent history;
- flat chronological history;
- a persistent Pattern Registry and forward-chained Skill Impact Ledger.
The completed study contains three replicate sequences, three evolution
iterations per condition, 18 frozen cases, two model versions, and 87 completed
model calls. Persistent Wiki did not outperform flat history on task quality in
this setting. It used fewer input tokens and produced a larger target-model
Skill gain, but had lower final task quality and more rollbacks.
| Condition | Task quality | Input tokens | Rule lines | Rollbacks | Target-model Skill gain |
| --- | ---: | ---: | ---: | ---: | ---: |
| No Wiki | 87.4158 | 127016.7 | 28.3 | 2.33 | 12.7970 |
| Flat history | 89.6189 | 145269.3 | 41.0 | 1.67 | 9.6585 |
| Persistent Wiki | 87.3322 | 134773.7 | 32.7 | 2.00 | 11.6270 |
The result is intentionally bounded: one synthetic deterministic grader, three
replicates, and two Codex model versions in one model family. It is not a
provider comparison, safety certification, or general claim about Agent
performance.
## Repository contents
- [paper/paper.pdf](paper/paper.pdf): publication-ready paper.
- [paper/paper.md](paper/paper.md): readable source.
- results/: sanitized row-level results and verified ledger summaries.
- scripts/build_paper.py: offline PDF builder.
- scripts/verify_artifacts.py: result, digest, and publication checks.
- REPRODUCIBILITY.md: exact design and evidence boundaries.
The executable study harness, frozen datasets, schemas, final Skills, Pattern
Registries, and full sanitized impact ledger are maintained in
[Runtime Evolution Workbench](https://github.com/rrrrrredy/runtime-evolution-workbench/tree/main/research/wiki-evolution-study).
## Citation
See CITATION.cff.
## License
Source code and machine-readable file protocols are Apache-2.0. The
manuscript, documentation, result tables, figures, and release metadata are
CC BY 4.0. See LICENSE and CONTENT-LICENSE.md.