review

SkillDev tools

Review code, a PR, branch, or staged diff. Use when asked to "review", "give feedback", "check this PR", or "what's wrong with this diff".

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 review skill

What this skill tells your AI

The instructions your AI receives, as published by av/mi in skills/review/SKILL.md and read by ahel’s review.

A review without intent is just grep. Always read the commit message / PR body / user-stated purpose before looking at any diff line.

  1. Get the diff and the intent. git diff <base>..HEAD / git diff --staged / whatever the user points at. Read the description first — the change's goal shapes which findings matter.

  2. Size gate. If the diff touches ≤ 3 files and ≤ 200 lines, review it in-context yourself and skip delegation. Do NOT spawn subagents for a trivial diff — the overhead exceeds the work.

  3. Partition by concern. Otherwise: split the diff by module / subsystem / changed-file cluster / tests-vs-impl — whichever boundary makes each slice independently reviewable. Save each partition's diff to /tmp/mi-review-<slug>.diff so the subagent prompt stays short.

  4. Spawn one subagent per partition via node "$MI_PATH" -p '<prompt>' with bg=truthy — the harness returns pid:X log:/tmp/mi-X.log and detaches the child; do NOT append &. Each prompt must include: the intent (one line), the partition's diff path, and exactly these four axes to check: correctness, scope creep, test coverage, convention fit with surrounding code.

  5. Summary contract — each subagent writes /tmp/mi-review-<slug>.md with:

    • STATUS: complete | partial | blocked
    • FINDINGS: bullets, each anchored as path/to/file.ext:<line> — <axis> — <observation>. No prose essays. No "LGTM" without a cited line.
    • UNRESOLVED: things the subagent noticed but couldn't judge from its slice alone

    Example of a well-formed FINDINGS section (three entries, three different axes):

    STATUS: complete
    FINDINGS:
    - src/auth/login.py:84 — correctness — `user.id` can be None when OAuth flow skips email verification; downstream callers assume it's always set
    - src/auth/login.py:91 — test coverage — happy-path OAuth login has no test; the only test in test_login.py covers password auth only
    - src/auth/middleware.py:12 — convention fit — project uses `logger = logging.getLogger(__name__)` everywhere except here, which calls `print()` directly
    UNRESOLVED:
    - Is the `None` user.id case reachable in production? Depends on provider config not visible in this slice.
    

    Mimic this format exactly — one bullet per finding, colon-separated triple, no hedging prose.

  6. Aggregate. Dedupe overlapping findings across partitions. Group the output by severity or by file (ask the user if unclear). If every subagent left an axis empty across the whole diff — e.g. nobody flagged missing tests — call that out as a coverage gap, not a clean bill.

    Handling missing or blocked subagents: Before consuming a result file, check that it exists and that STATUS: is complete or partial. If the file is missing or STATUS: blocked, do NOT silently skip it — insert a line in the aggregate output: BLOCKED: <subagent-slug> (no output / status: blocked). Continue aggregating remaining partitions normally. Surface blocked partitions to the user at the end so they know that slice was not reviewed.

Poll subagents with kill -0 <pid> 2>/dev/null (exit 0 = still running, 1 = done); do not sleep-poll and do not wait. Read each /tmp/mi-review-<slug>.md by grepping ^STATUS: first to confirm completion before consuming findings.

Signals

GitHub stars
102
Forks
8
Last commit
Jul 2026
Hacker News mentions
20
Advanced
Catalog kind
skill
Gateway key
review-av
Source
github.com/av/mi