Code Improver

SkillAI & models

Lets your agent run an automated review-and-fix loop over code, repeating fixes until issues stop improving.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Code Improver skill

About this capability

Runs an autonomous review-and-fix improvement loop over any code target — a skill, plugin, module, or directory — using a reviewer the user names: any installed skill or agent. Keeps a cross-round findings ledger, escalates when fixes stop converging, and guards scope mechanically. Use when asked to

What this skill tells your AI

The instructions your AI receives, as published by trailofbits/skills in plugins/code-improver/skills/code-improver/SKILL.md and read by ahel’s review.

Improve any code target by running /code-improver:improve — a dynamic workflow that loops the named reviewer and a fixer subagent until a review reports zero critical/major findings, then strips its own residue. The loop, its ledger, and its guards live in the workflow; this skill collects the three inputs the generic entry requires and relays the outcome.

Starting the loop

The user provided: $ARGUMENTS (if empty, take the details from the conversation).

1. Collect the three required inputs — no guessing

  1. Target: the absolute path to the directory under improvement. Resolve relative paths against the working directory; verify the directory exists.
  2. Reviewer: the installed skill or agent that performs every review. The user must name it — there is no default and no bundled reviewer. Determine the kind:
    • a namespaced agent (e.g. plugin-dev:skill-reviewer) → "kind": "agent"
    • an installed skill (e.g. pr-review-toolkit:review-pr) → "kind": "skill" If the name could be either, check the session's skill listing; if still ambiguous, ask the user. If no reviewer was named, ask — do not pick one.
  3. Scope: repo-relative globs the loop may touch. The generic entry requires it explicitly; if the user did not give one, propose the target directory (<repo-relative-target>/**) and confirm before launching.

2. Resolve the loop script

The loop is the dynamic workflow workflows/improve.js in this plugin. Launch it by path: scriptPath takes a resolved absolute path, and the Workflow tool's name resolves built-in and project workflows, so a marketplace-installed one may not answer to code-improver:improve. Try in order, first hit wins — the home directories come before . so an installed copy beats a checkout of this marketplace:

  1. Bash: ls -d -- "${CLAUDE_PLUGIN_ROOT}/workflows/improve.js"
  2. Bash: ls -d -- "${CODEX_PLUGIN_ROOT}/workflows/improve.js" (if that variable is set instead)
  3. Bash: find ~/.claude ~/.codex . -maxdepth 7 -path '*/code-improver/workflows/improve.js' -print -quit 2>/dev/null

Use the path exactly as printed. Its plugin directory — the path with /workflows/improve.js removed — is pluginRoot. If all three come back empty, try {name: "code-improver:improve"} once; if that is unavailable too, stop and say the loop could not be located. Do not assemble a path by hand and do not improvise the loop.

3. Invoke the workflow

Run it with the Workflow tool, {scriptPath: "<the path from step 2>", args: {...}}:

{
  "target": "<absolute target path>",
  "reviewer": { "kind": "agent|skill", "name": "<namespaced-name>", "notes": "<what the reviewer should know about the target>" },
  "scope": ["<repo-relative-glob>/**"],
  "pluginRoot": "<the plugin directory from step 2>",
  "maxRounds": 5
}
  • maxRounds only if the user asked for a different cap.
  • pluginRoot lets the run find its metrics collector; omit the key only if step 2 fell through to the workflow name — the workflow then searches for itself.
  • finalize ({"version_bump": bool, "narration_strip": bool, "docs_pass": bool}) only to override the defaults: version bump when the target sits inside a plugin, narration strip and docs pass always.
  • decision only on continuation (below).

The workflow runs in the background and needs no babysitting: it reviews, fixes, re-reviews, checks scope after every fix round, and can only complete on a clean review. It never commits; all changes stay in the working tree.

If the Workflow tool is unavailable or denied, stop and say so. Do not improvise the loop inline with direct edits — the ledger, scope guard, and escalation guarantees live in the workflow, and an inline imitation has none of them.

If the result is halted: "reviewer-unavailable", relay it and stop. The named reviewer is not installed in this session; tell the user which plugin provides it and re-run after installing. Do not review the target yourself.

Do not end your turn while the loop is running. The Workflow tool returns a task id immediately; the result comes later. In an interactive session the completion notification re-invokes you — wait for it. In a non-interactive run (scripted, CI, eval) there is no later turn: stopping abandons the loop mid-round, so after launching, poll the task (TaskOutput with the returned task id, or sleep-and-recheck) until it completes, then relay the result. A session that answers "the loop is running, I'll report later" has lost the run.

Relaying the result

The workflow returns a structured result. Report it honestly — the distinctions matter:

  • converged: true — the last action was a review with zero critical/major findings. Report rounds used, remaining minor findings (open_minor_count), and the artifact paths (ledger_path, metrics).
  • capped: true — the fix budget ran out and the FINAL review still found blocking issues. Say plainly: capped, NOT converged, and list open_blocking. Do not present this as success.
  • escalation — the loop detected it was not converging (recurring findings, non-decreasing counts, or a fix relocating a problem). Relay the escalation message and finding ids to the user: this needs a design decision, not more rounds.
  • halted — a guard fired (scope violation, unregistered new files, a dead or unavailable reviewer, or a finalize pass whose own edits failed the check that follows it). Relay the paths in violations/new_untracked_files, the sites in finalize_regressions, and the notes.
  • notes always travel with the result — surface them; they include loud warnings such as "a git repository was initialized".

Continuing after an escalation

The loop stops on escalation by design. When the user decides, start a fresh run with the same target and reviewer plus:

{ "decision": "<the user's ruling, verbatim>" }

The new run reloads the on-disk ledger, so every finding, rejection, and verdict carries over — rounds restart, re-derivation does not.

To stop a running loop, stop the workflow task (TaskStop); the ledger on disk is current to the last round and a re-run resumes from it.

When NOT to use

  • A Claude Code skill: use the skill-improver entry — it wires the right reviewer
  • A branch / pull request: use the pr-improver entry — it derives scope from the diff
  • One-time review: dispatch the reviewer directly; the loop's value is iteration
  • Quick single fixes: edit the file directly

Signals

GitHub stars
7k
Forks
604
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
code-improver
Source
github.com/trailofbits/skills