agentleFS
Fable-ForgeFable-Forge/fableforge-agent-skills/skills/unfinished-work-audit/SKILL.md

unfinished-work-audit

Skill1 starsChanged 53 days agoMITView on GitHub

Use when the user asks what work is still unfinished across their local AI sessions — 检查我本地的所有 claude 对话还有哪些工作没干完, 盘点 Codex 对话未完工作, 哪些项目停在半截, 有哪些后续没开发, 上次那个做完了吗 — or wants to resume a dormant project and needs to know where it stopped. Reads local Codex rollouts and Claude Code session transcripts, then verifies each claim against the real repo before listing it.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read references/scan-recipes.md for the extraction snippets (first user message, last assistant message, per-project grouping, …

    line 22
  2. Distinctive:

    Default to 60 days. If that yields under ~20 sessions, widen to all history and say so.

    line 27
  3. Distinctive:

    Verify each candidate against the repo — this is the step that makes the report worth anything.

    line 34
  4. Distinctive:

    Check whether the promised artifact exists now: the file, the export, the test, the commit.

    line 35
  5. Distinctive:

    Never infer completion from git status cleanliness, and never infer incompleteness from the session text alone.

    line 38
  6. Very specific:

    Keep the user's own 已停止开发 decisions out of the backlog.

    line 42

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Unfinished Work Audit

Overview

Scan local AI session history across tools, then report what is genuinely still open. The hard part is not finding sessions — it is that a session's last message is a claim about state, often weeks stale. Verify before listing.

Evidence Sources

SourcePathWhat it gives
Codex thread index~/.codex/session_index.jsonlthread_name + updated_at, cheapest first pass
Codex rollouts~/.codex/sessions/<YYYY>/**/rollout-*.jsonlfull turns when a thread looks open
Codex rollout summaries~/.codex/memories/rollout_summaries/*.mdpre-digested outcomes and learnings
Claude Code transcripts~/.claude/projects/<encoded-path>/*.jsonlper-project sessions; dir name encodes the repo path
Project memory~/.claude/projects/*/memory/MEMORY.mddurable facts already captured

Read references/scan-recipes.md for the extraction snippets (first user message, last assistant message, per-project grouping, mojibake-safe output).

Workflow

  1. Set the window and the roots.
    • Default to 60 days. If that yields under ~20 sessions, widen to all history and say so.
    • Enumerate both Codex and Claude Code. Reporting only one tool's sessions is a wrong answer to "所有对话", and the same project often has threads in both.
  2. Shortlist candidate-open threads.
    • Signals: an ending that promises a next step (下一步, 待办, 未完成, TODO, pending, 接下来), an explicit stop (我现在停止, 不再追加功能), a pending_external marker, or an error/blocker as the final state.
    • A thread that ends with a delivered result and no promised follow-up is closed. Do not pad the list.
  3. Verify each candidate against the repo — this is the step that makes the report worth anything.
    • Check whether the promised artifact exists now: the file, the export, the test, the commit.
    • A session claiming "还需重新导出 EXE" is not evidence the EXE is still stale; compare the binary's mtime against the last source change.
    • Mark each item 已完成(会话未更新), 确认未完成, or 无法判定 with the reason.
    • Never infer completion from git status cleanliness, and never infer incompleteness from the session text alone.
  4. Separate what is blocked from what is merely unfinished.
    • pending_external (real-device QA, store review, human playtest, another person) is not backlog the user can clear tonight — list it apart.
    • Keep the user's own 已停止开发 decisions out of the backlog; a deliberate stop is not a loose end.
  5. Report smallest-useful.
    • Group by project, ordered by how cheap it is to close.
    • Per item: 项目 / 停在哪一步 / 证据(文件路径、时间戳、会话日期)/ 验证结论 / 下一步一句话.
    • State coverage honestly: sessions scanned, tools covered, and anything unreadable.

Common Mistakes

  • Trusting the last assistant message as current state. It is the single biggest source of false backlog here.
  • Listing every session that mentions a TODO. Most were closed later, often in a different thread or the other tool.
  • Printing Chinese thread names straight to a Windows console — they mojibake. Write to a UTF-8 file and read that back.
  • Dumping raw transcript excerpts into the report; follow reporting-discipline and give conclusion plus evidence pointer.

Output Contract

Report: window and roots scanned, session counts per tool, verified-open items grouped by project, pending_external listed separately, items reclassified as already-done, and anything that could not be verified.

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