f925fd9645
Phase 2 sweep — all modules are post-pivot, so the learner directs the AI agent
(Claude Code as the worked example) to do the git/setup work and verifies, instead
of typing commands by hand; no re-teaching basics. Lesson sections are theory with
example output; all execution lives in the labs. De-slopped ("prose" etc. gone
course-wide, em-dash density thinned). /path/to placeholders -> ~/ai-workflow-course.
Every deliberate teaching device verified intact: M10 ai-change.patch trap,
M12 bad-clear-snippet, M13/M27 planted pending_count bug, M15 secret+typosquat+MD5,
M18 BREAK=1, M21 absent-.gitignore, M22 poisoned skill, M24 no-op patch, M25 --simulate.
Labs compile/parse (py/sh/yaml/json); no junk.
Closes #83
Closes #86
Closes #89
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT
1015 B
1015 B
Agent prompt — issue #42, branch feature/42-count
Run this in the tasks-app-42-count worktree. This agent's work is genuinely parallel with #43
(docs) — different files — and deliberately collides with #44 (clear) at cli.py's dispatch chain.
You are working in this worktree only. Do not touch any other folder.
Task: Add a count command to cli.py that prints the number of pending (not-done) tasks.
- Add a new
elif command == "count":branch to the dispatch inmain()incli.py. - Use the existing
TaskList.pending()method fromtasks.py— do not changetasks.py. - Print just the integer, e.g.
3.
Acceptance criteria:
python cli.py countprints the number of pending tasks and exits 0.- No other files change. (
README.md,CHANGELOG.md, andtasks.pyare owned by other agents — stay out of them.)
When done, commit your work on this branch with a message referencing #42, then push the branch. Stop there; the human opens and reviews the PR.