Hill Climb

Your coding agent says "done". Hill Climb makes it prove it.

Give the agent a goal and a command that scores it. The agent works in small steps. Every step that improves the score is committed. Every other step is undone. A step that edits the check is refused.

Install · How it works · Any goal · Real runs · Why not just ask the agent?

Output of examples/demo.sh, with the commands shortened. Run it yourself.

The problem

You ask an agent to fix the 12 bugs from an audit. An hour later it says "all fixed". Then you find out:

• 3 were "fixed" by changing what the test expects.
• One fix broke a feature that no one asked it to touch.
• Halfway through, its context was compacted, and it forgot what it already tried. It tried those ideas again.
• You can't tell which change fixed what, because it is all one big diff.

The agent was not lying. It had no score, no memory on disk, and nothing to stop it from grading its own work.

The fix

Hill Climb is a skill for agents and a single Python file that keeps the score. The agent changes code. The script decides.

climb.py try "cache the parser"

That one command does all of this:

1. Checks that no locked file changed (the tests, the benchmark, the fixtures). If one did, it refuses.
2. Runs your check, all of your checks in parallel, and reads the score.
3. Runs your guards: the old tests, typecheck, lint. All must still pass.
4. Better and safe? It commits the step, in every repo the climb touches.
5. Worse, equal, or a guard failed? It resets the tree, in every repo. The bad idea never lands.
6. Writes the step to a log on disk, with the full output in last.txt.

The branch only ever holds proven steps. One commit per win, with the idea as the message.

Install

Claude Code (plugin):

/plugin marketplace add Bil0000/Hill-Climb
/plugin install hill-climb@hill-climb

Any agent that reads skills (Claude Code, Codex, and others that use SKILL.md):

git clone https://github.com/Bil0000/Hill-Climb.git
mkdir -p ~/.claude/skills && cp -R Hill-Climb/skills/hill-climb ~/.claude/skills/   # Claude Code
mkdir -p ~/.codex/skills && cp -R Hill-Climb/skills/hill-climb ~/.codex/skills/     # Codex

Then just ask:

/hill-climb make the test suite 2x faster
/hill-climb fix every finding from the billing audit, backend and frontend
/hill-climb keep going until every test passes

With the plugin install, the command is /hill-climb:hill-climb. In Codex, name the skill in your prompt.

The agent builds the check and climbs. For a big goal, it first shows you a one-screen plan (the "card") and waits for you to say go. A small goal starts at once.

Needs Python 3.9+ and git. Nothing else. No packages, no server, no account.

How it works

The agent never writes a score itself. It never decides that a step "basically" passed. The script measures, and the log on disk is the truth.

Any goal is a number

If you can write a command that tells you how close you are, you can climb it.

No wrapper scripts needed. Point --score at any test runner's output:

climb.py init billing-audit --goal "every billing finding fixed" \
  --check "pytest tests/billing -q" \
  --check "cd ../web && npx vitest run billing" \
  --score '(\d+) failed' --direction min --target 0 \
  --repo ../web --guard "pytest tests/legacy -q" \
  --lock tests/billing --lock ../web/src/billing/__tests__

Two repos, two test suites in parallel, one score. Patterns for pytest, vitest, jest, rspec, unittest, node, cargo, and go are in references/checks.md.

What it catches

All of these happen in the demo above:

And over a long run:

Real runs

Small trial projects, run by an agent that had only the skill and no help:

These are small, honest examples, not a benchmark. The value grows with the size of the goal: the more steps, the more there is to undo, guard, and remember.

Why not just ask the agent?

"I can tell my agent to run the tests after each change."

You can. Here is what you still don't get:

• Undo is automatic and complete. A step that doesn't win is reset in every repo, including new files. Nothing half-done is left behind.
• The check is locked. The script hashes the test files and refuses to score a step that changed them. A weakened test can't sneak in as a win.
• Guards protect what you didn't ask about. The score only measures the goal. Guards make sure the rest still works.
• State lives on disk, not in context. The card, the log, notes, and the last output survive compaction, crashes, and new sessions.
• Every win is a separate commit. You review 19 small commits with clear messages, not one mystery diff.
• It knows when to stop. At the bar, at a plateau, or when the holdout disagrees with the score. Not when the agent feels done.

Commands

Useful init options: --repo (more repos), --check (repeat, runs in parallel), --score '<regex>', --guard, --lock, --target 0 or --target 2x, --runs 3 --paired for noisy timers, --holdout, --max-hours (soft unless --hard).

The full guide for the agent is skills/hill-climb/SKILL.md.

Safety

• A climb runs on its own branch, climb/<name>. Your branch is not touched.
• An undo resets the climb branch and deletes untracked files that git does not ignore. If you work in the same checkout at the same time, run the climb in a separate worktree.
• drop goes back to your branch and keeps the old climb on a renamed branch.
• Only one command that changes a climb runs at a time in a checkout. An interrupted command that is still running blocks the next one, so two runs never score at once.
• init and try refuse to commit a file over 10 MB.
• The lock catches mistakes, not a determined cheat. An agent with a shell can edit anything, so review the branch before you merge it.
• Locks hash every file name, but not the content of files git ignores, so caches like .pyc don't trip them. Don't lock data that git ignores. Put it under .hill-climb/<name>/, where content is always hashed.
• judge.py tells each judge to ignore instructions inside the work it scores. A model judge can still be fooled. Prefer an exact c