principle-sequence-verifiable-units
Apply to multi-step work (sweeps, migrations, runs of similar edits) and to how you stack commits and PRs. Break work into small units that each end in a verifiable state, check each before the next, and order delivery so the sequence proves itself to a reviewer.
- License 许可
- MIT
- 最近更新
- 2026-10-23
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- principle-sequence-verifiable-units
- description
- Apply to multi-step work (sweeps, migrations, runs of similar edits) and to how you stack commits and PRs. Break work into small units that each end in a verifiable state, check each before the next, and order delivery so the sequence proves itself to a reviewer.
- disable-model-invocation
- true
02 资源文件 2
- 参考文档agents/openai.yaml43 B
- 许可证LICENSE1.0 KB
03 SKILL.md 正文
Sequence work into verifiable units
Order work as a sequence of small units, each ending in a state you can check, and don't advance until the current one is green.
Why: A break caught at the unit that caused it is cheap to localize. A break caught after a batch is buried, and you have already built further on a broken base. Sequencing those same units into a delivery a reviewer can replay turns "trust me" into "watch it go red, then green."
Execution. In a sweep, migration, or any run of similar edits, verify each change before starting the next. Each unit is a before/after bracket: known-good state, one change, run the check, then proceed. Rebase onto clean trunk first so every check measures against the real baseline. When a lever does the edits, the per-unit check is nearly free. Run it anyway.
Delivery. Stack commits and PRs in the order that proves the work. The canonical shape is the failing test first, then the fix on top. Other story orders are a subtraction before the reshape, a baseline capture before the treatment, the scaffold before the feature. Each commit lands on its own and the sequence reads as an argument.
The sequencing complement to the prove-it-works principle skill, which keeps each check real, and the build-the-lever principle skill, which makes the per-unit check cheap.
04 同仓库更多 Skills
sample-skill
暂无简介
synthetic-review-candidate
Candidate for smoke testing an evaluation runner only.
synthetic-review-baseline
Baseline for smoke testing an evaluation runner only.
review
Run the existing user-invoked review bundle and independently adjudicate its findings.
review-adjudication
Verify generated or human review findings before fixing, defending, replying, resolving, or reusing them as learned guidance. Use within a review, review-comment fix, monitor, or readiness workflow.
monitor-mr
Monitor review findings and CI using the shared adjudication procedure.