show-me-your-work
Keep a reviewable decision trail (one TSV row per decision with what, why, evidence, and result), audit it against the session transcript, and have a different model family flag what the user should check. Use for unattended or long-running work the user reviews after stepping away, such as a hillclimb, an eval, or an autonomous run.
- License 许可
- MIT
- 最近更新
- 2026-11-03
- Stars
- ★ 10
- Forks
- 2
01 前言 Front Matter
- name
- show-me-your-work
- description
- Keep a reviewable decision trail (one TSV row per decision with what, why, evidence, and result), audit it against the session transcript, and have a different model family flag what the user should check. Use for unattended or long-running work the user reviews after stepping away, such as a hillclimb, an eval, or an autonomous run.
- user-invokable
- true
- disable-model-invocation
- false
02 资源文件 1
- 脚本scripts/log.sh1.3 KB
03 SKILL.md 正文
Show me your work
Keep one canonical log.
The format
A single TSV file, one row per decision. Cells stay single-line. Evidence is a pointer, not prose. Columns:
- ts. ISO8601 timestamp.
- phase. The phase or workstream.
- decision. What was chosen or done, one line.
- why. The reason in plain words. If a principle drove it, say it plainly, not as a jargon tag.
- evidence. A link or path that proves it: commit SHA, PR number,
file:line, or an artifact, trace, or screenshot path. Never a paragraph. - result. The outcome or predicate state:
tests green,reverted,pixel-diff 0,INCONCLUSIVE,open.
An example, plain-spoken so a reviewer reads it at a glance.
ts phase decision why evidence result
2026-05-24T09:02:00Z frame counted the work first, about 100 components and roughly 75 hours wanted to know the size before starting a long run commit 3a9f1c2 found 5 things to sort out before starting
2026-05-24T09:40:00Z harness took screenshots of the old version before changing anything so we can compare old against new and catch any visual change scripts/snapshot.sh, baseline/ saved 120 reference screenshots
2026-05-24T11:15:00Z widget moved the widget styles over without changing how it looks keep the change small and the result identical commit 7c21e0a, pixel-diff 0 looks identical, tests pass
2026-05-24T12:30:00Z widget threw out a helper's work because its screenshots were blank checked the real files instead of trusting its summary worktree reset reverted, tightened the instructions for next time
Logging a row
Write each entry the way you'd tell a teammate what you did. Plain words, concrete actions, no AI speak or abstract jargon (the unslop skill applies to log text too).
Use the helper scripts/log.sh <logfile> <phase> <decision> <why> <evidence> <result>. It stamps ts, writes the header on first use, strips stray tabs/newlines, and prefixes any cell starting with =, +, -, or @ with a single quote. A bare printf appending a row works too, but mind those same bytes if cells come from generated or user-supplied text.
Log decision points and checkpoints, not every action: a fork chosen, a unit completed with its verification result, a pivot or revert with its trigger, a blocker surfaced, a gate fixed. For loop runs, one row per iteration. Skip the trivial and self-evident.
A run is one Pi session, including its later turns and any compaction of it. A pickup, a replacement agent, or a new session starts a new run. When a run adds to a log that already has rows, its first row has phase start, and so does its first row after another run's start row. So a run that comes back to a log in a later turn first reads the log's last rows to see whether another run wrote since. A start row names the ts range of the rows before it that this run did not write, and its evidence names this run's session file ($PI_SESSION_FILE). Use phase start for nothing else.
Where it lives
The log is a working artifact in the state folder: decisions.tsv in the task's subfolder, per <state> in the system prompt. A run that already keeps a state folder, such as a hillclimb or an eval, keeps its log there.
Copy it into the repository only when the work is ambitious enough that a reviewer needs the trail to trust the result.
Rules
- Append-only. A wrong call gets a new row that supersedes it. Never edit or delete history.
- Prefer evidence produced by committed scripts over hand-made one-offs (the principle-encode-lessons-in-structure skill).
Audit the log against the transcript
At the end of the run, before handing back, check the log told the truth. Read this run's transcript, the Pi session file at $PI_SESSION_FILE. Read only that file and the session files of subagents this run launched, never other sessions under ~/.pi/agent/sessions/, which hold unrelated private chats. Walk this run's rows against what actually happened. Each stretch of them begins at one of this run's start rows, or at the first row if this run created the log, and ends at the next start row of another run:
- Check that every row maps to a real decision or action.
- Check that each row's evidence resolves and shows what the row claims.
- A fork, pivot, or abandoned approach that shaped the work but isn't logged is a gap. Add it.
Correct the log, not the story. The audit never edits or removes a row, even an invented one. When a row records neither a real decision nor a real action, or its claim or evidence is wrong, add a row that supersedes it with what actually happened and a pointer that resolves. This audit does not check rows outside this run's stretches. If this run's own work shows one of them is wrong, supersede it like any wrong call.
Cross-model review of the trail
Before handing back, launch a delegate in the cross-family reviewer role of the subagents skill, on the model family that did not do the work. Self-review is not a substitute. Its assignment names the log and this run's session file, its write scope changes nothing, and it flags what the user should pay attention to. Not a redo of the work, a scan for what's suboptimal or risky:
- Decisions logged with weak or absent evidence.
- Verification steps skipped or claimed without proof in the transcript.
- Choices that look risky in hindsight (premature, scope-creeping, papering over a symptom).
- Gaps the user would otherwise miss on a casual skim.
Every reply for a run that produced a trail ends with an "Attention" section. Lead with the reviewer's model on its own line (reviewed by <model>), then list each flag pointing to specific rows or moments. "No flags" is a valid value. The model name is not.
Reviewing the trail
Read top to bottom, follow the evidence pointers, spot-check. GitHub renders a committed TSV as a table. column -s$'\t' -t decisions.tsv renders it in a terminal.
Composing this skill
Other skills route their audit trail here instead of inventing one. Reference it by name and let it own the format. Don't restate the columns.
04 同仓库更多 Skills
changelog
Write the changelog entry for a pull request. Use when a PR changes behavior that users, operators, or integrators can notice.
writing-good-tickets
Write, file, or update an issue or ticket that an agent or a developer can take to one PR. Use when filing a bug or feature, updating an issue, or breaking a plan into tickets.
writing-good-prs
Write or update a pull request title and body that a reviewer can trust and own. Use when opening a PR or editing its description.
writing-good-commits
Write or reword a git commit message and size the commit it describes. Use when committing, or when reshaping commits during a rebase.
writing-for-agents
Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
wizard
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.