원클릭으로 Manus에서 모든 스킬 실행

auto-review

스타0

포크0

업데이트2026년 7월 10일 08:37

Review a change across every dimension at once, then keep only the findings that survive an adversarial check — autonomously. It fans out independent reviewers over the diff (correctness, security, performance, maintainability/readability, test adequacy, API/contract & compatibility), dedups their findings, and puts each through a majority-refute verification so false positives never reach you or drive a fix. Survivors come back severity-labeled and actionable (file:line, why, suggested fix), and — if you ask — a bounded fix loop resolves the confirmed blockers. It fails closed: a dimension that didn't actually run is reported as a gap, never as "clean". This is the REVIEW phase. Composes fan-out-work (dimensions), adversarial-verify (confirm findings), converge-loop (optional fix), and checkpoint-resume.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

ulpi-io

ulpi-io/skills-autonomous-engineering

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

관련 직업SOC

SOC 직업 분류 기준

소프트웨어 품질 보증 분석가·테스터컴퓨터 및 수학직·SOC 15-1253

파일 탐색기

2 개 파일

SKILL.md

readonly

이 저장소의 다른 Skills

같은 저장소

checkpoint-resume

ulpi-io/skills-autonomous-engineering

Make long autonomous work durable and resumable: a live .ulpi/runs/<id>.json status file (per-unit + per-phase state, atomic locked writes via the bundled scripts/checkpoint.mjs CLI) that a resume reads to SKIP everything already done — session-independent. Status writes are non-fatal observability. Use for any multi-unit run worth resuming after a stop or crash.

2026-07-100

auto-build

ulpi-io/skills-autonomous-engineering

Implement a whole DAG plan autonomously — one approved pass, one clean rollback point per task, never building on a broken base. It requires an approved plan (specced upstream) and a clean git baseline, takes a SINGLE human approval of the plan, then walks the DAG layer by layer: for each task it implements on an isolated worktree branch test-first (RED → GREEN), integrates the slice onto the working branch, reviews the integrated change, runs a bounded fix loop until the task passes, and commits it individually — so any point is a clean rollback. It follows the dependency graph strictly (a task builds only once its deps integrate), checkpoints every task so it resumes exactly where it stopped, and STOPS-and-asks on unfixable failures, ambiguity, or irreversible steps rather than pushing through. This is the BUILD phase. Composes fan-out-work (per layer), converge-loop (per-task fix), adversarial-verify (per-task review), checkpoint-resume, and budget-guard.

2026-07-100

autonomous-pipeline

ulpi-io/skills-autonomous-engineering

Run the whole engineering lifecycle end-to-end from one request — spec → plan → build → simplify → test → review → performance → ship — as a single autonomous pass with ONE human approval (the plan) and hard-gated escalation for anything irreversible. It chains the auto-* phase skills, carries a durable pipeline checkpoint so a stop/crash resumes at the exact phase and task it left off, watches the signal between phases (a phase that misses its gate is recorded blocked and surfaces in the register — fail closed, no false-green downstream), and returns a verified findings register at the end. It does NOT loop on its own: after one pass it reports what shipped and what's open, and the user decides on any fix round. This is the top-level "maximise autonomous agents" entry point. Composes every auto-* phase plus checkpoint-resume, budget-guard, watch-and-act, and adversarial-verify.

2026-07-100

auto-plan

ulpi-io/skills-autonomous-engineering

Turn a spec into a self-reviewed DAG of atomic build tasks: each task gets acceptance criteria, a disjoint write scope (≤3 files), and a slice-scoped validate; dependencies are wired and layered topologically so nothing builds on a missing base. Adversarial critics then attack the graph (cycles, phantom paths, coverage vs spec, task independence) until it is clean. Writes .ulpi/plans/<name>.json. Use when a spec needs an implementable, ordered breakdown before building.

2026-07-100

fan-out-work

ulpi-io/skills-autonomous-engineering

Cover a large work-list in parallel without losing correctness or honesty — scout the items inline, then run each through its stages concurrently (map, optionally reduce) via the Workflow tool, with concurrency caps, per-item isolation where items mutate files, and an explicit account of anything dropped. Use when the task is "do the same thing to N independent things" — audit every module, migrate every call site, write tests for every gap, review every changed file — and N is big enough that serial is wasteful. It keeps the coordinator in control of the decision to continue while the per-item work runs in agents; it never silently truncates (a top-N/sampling cap is logged), and it aggregates results faithfully (a failed item becomes a reported null, not a hidden success). Composes with converge-loop (per-item loops) and adversarial-verify (gate each item's result).

2026-07-070

auto-spec

ulpi-io/skills-autonomous-engineering

Turn a raw feature request into a grounded, TESTABLE spec — autonomously. It recons the real repo and domain to ground every claim, drafts a spec (objectives, user-visible behavior, acceptance criteria, explicit non-goals, constraints, interfaces, risks), then runs a completeness-critic loop that adversarially hunts for gaps, ambiguity, and untestable criteria and fixes them until the spec is stable. Every acceptance criterion it emits is measurable (you could write a test for it); every requirement is grounded in the repo or flagged as an assumption — no invented requirements, no phantom paths. It writes `.ulpi/spec/<name>.md` and is the DEFINE phase that feeds auto-plan. Composes fan-out-work (recon), adversarial-verify (the critic), converge-loop (until-stable), and checkpoint-resume.

2026-07-060

name	auto-review
version	0.1.0
description	Review a change across every dimension at once, then keep only the findings that survive an adversarial check — autonomously. It fans out independent reviewers over the diff (correctness, security, performance, maintainability/readability, test adequacy, API/contract & compatibility), dedups their findings, and puts each through a majority-refute verification so false positives never reach you or drive a fix. Survivors come back severity-labeled and actionable (file:line, why, suggested fix), and — if you ask — a bounded fix loop resolves the confirmed blockers. It fails closed: a dimension that didn't actually run is reported as a gap, never as "clean". This is the REVIEW phase. Composes fan-out-work (dimensions), adversarial-verify (confirm findings), converge-loop (optional fix), and checkpoint-resume.
allowed-tools	["Bash","Read","Edit","Grep","Glob","Agent","Workflow"]
disable-model-invocation	true
user-invocable	true
effort	high
argument-hint	[scope — a diff/branch/PR, or path] (default: the current branch diff)
arguments	["scope"]
when_to_use	Use before merging any change, or to audit a module/branch — when you want a multi-axis review whose findings are verified real, not a raw model dump full of false positives. Do NOT use to write the code (auto-build) or to make behavior-neutral cleanups (auto-simplify); and pass '--fix' intent only when you want the confirmed blockers resolved in place, otherwise it reports and stops.

An unverified review is noise that wastes attention and drives bad fixes. Non-negotiable: 1. EVERY FINDING IS VERIFIED BEFORE IT COUNTS. Each raw finding passes through adversarial verification (skeptics try to REFUTE it with the actual code) — only survivors are reported or fixed. A plausible- but-wrong finding must never reach the user or trigger an edit. 2. FAIL CLOSED ON COVERAGE. A review dimension that didn't actually run (agent died/empty) is reported as a GAP, never silently treated as "no findings there". "Clean" means every dimension ran and found nothing surviving — not that some dimensions were skipped. 3. SEVERITY IS HONEST AND CALIBRATED. Label findings (Blocker / Concern / Nit / FYI). Don't inflate a nit into a blocker or bury a real blocker as a nit. The severity drives what the user must act on. 4. FIXES ARE OPT-IN AND SCOPED. Only apply fixes when asked; fix only CONFIRMED blockers/concerns, each a minimal change, re-verified. Never smuggle unrelated refactors into a review-fix. 5. NEVER FABRICATE A CLEAN VERDICT. Surviving findings are surfaced as-is. A review that found real issues is reported with them, never rounded up to "looks good".

Auto Review

Overview

Get a staff-engineer-grade review that's both broad (every dimension in parallel) and trustworthy (every finding survived a refutation attempt). The parallelism gives coverage; the adversarial gate gives signal — you get a short list of verified, severity-labeled, actionable findings instead of a long list you have to triage for hallucinations.

Inputs

$scope: the diff/branch/PR or path to review (default: the current branch diff). Append the literal --fix to authorize resolving CONFIRMED blockers in place after the review.

Phase 0: Scope and baseline

Resolve scope ($scope — the branch/PR diff by default; a path/module otherwise). Get the actual diff (git diff <base>...HEAD) and the changed files.
Note the change size — an oversized diff (≫ a few hundred lines) is itself a finding (hard to review, should be split); say so.
Open a checkpoint-resume run.

Success criteria: the exact diff + changed files are known; change-size noted.

Phase 1: Fan out the review dimensions

Launch one reviewer per dimension over the diff (fan-out-work), each an independent lens with the actual code in hand:

correctness — logic errors, edge/error paths, off-by-one, null/empty, concurrency/races, wrong assumptions;
security — trust boundaries, injection, authz, secrets, unsafe deserialization, untrusted input;
performance — obvious hotspots, N+1s, needless allocations, blocking calls (measurement-gated claims — flag, don't assert a speedup);
maintainability/readability — naming, structure, duplication, complexity, intent clarity;
test adequacy — are the new behaviors covered by meaningful, non-vacuous tests? gaps?
API/contract & compatibility — public interface changes, backward compatibility, error semantics, Hyrum's-Law surface.

Each reviewer returns structured findings (file:line, issue, severity, suggested fix, a concrete failure scenario).

Success criteria: every dimension ran (or its failure is recorded as a gap); raw findings collected.

Phase 2: Dedup + adversarially verify (the signal gate)

Dedup the raw findings across dimensions (same file:line + same issue → one), keeping the highest severity and merging rationale.
Verify each with adversarial-verify: skeptics get the real code and try to REFUTE the finding (does the bug actually occur? build the input; is the "vulnerability" reachable?). Scale skeptics to severity (a blocker gets a stronger panel). Only survivors are kept; refuted findings go to a rejection ledger (reported, so you see what was filtered).

Success criteria: a deduped list of VERIFIED findings, each severity-labeled; unverified (dead-panel) findings kept open; rejected findings logged.

Phase 3: Report — or, if asked, fix the blockers (bounded)

Report (default): the verified findings by severity, each with file:line, why, and a suggested fix; plus coverage (which dimensions ran) and the rejection ledger. Fail closed — name any dimension that didn't run.
Fix (only on --fix intent): run converge-loop over the CONFIRMED blockers/concerns — one minimal fix per finding, re-verify the finding is resolved and no regression introduced, until the confirmed set is clear or the loop bounds out. Nits/FYIs are not auto-fixed. Update the checkpoint per finding.

Success criteria: the user gets verified findings (and, if requested, the confirmed blockers resolved in place with no regressions); coverage and rejections are honest.

Common Rationalizations

Rationalization	Reality
"The model listed 30 findings, report them all."	Many are false positives. Unverified findings waste attention and drive bad edits. Verify first; report survivors.
"One reviewer pass covers everything."	A single lens misses the axes it isn't looking through. Fan out the dimensions; each catches what the others can't.
"This dimension's agent came back empty — no issues there."	Empty may mean it didn't run. Fail closed: an empty/dead dimension is a gap, not a clean bill.
"It's probably exploitable, mark it a blocker."	"Probably" isn't a finding. Have skeptics build the actual reachable path, or downgrade it.
"While fixing, I'll also refactor this nearby code."	A review-fix touches only the confirmed finding. Unrelated refactors belong in their own change.
"Found real issues but the code mostly looks good — call it approved."	A change with surviving blockers is not approved. Report the blockers; don't round up.

Red Flags

Findings reported without any verification step.
A "clean" verdict where one or more dimensions silently didn't run.
Severity inflation (nits as blockers) or burial (blockers as nits).
Fixes applied for unconfirmed or nit-level findings, or bundled with unrelated refactors.
A huge diff reviewed without noting it should be split.
The rejection ledger hidden (you can't see what was filtered and why).

Guardrails

Never report or fix an unverified finding — adversarial-verify first.
Never treat a non-running dimension as clean; fail closed and name the gap.
Never inflate/bury severity; label honestly.
Never auto-fix beyond confirmed blockers/concerns; keep fixes minimal and re-verified.
Never fabricate an approving verdict over surviving findings.

When To Load References

references/review-workflow.js — the RUNNABLE Workflow for Phases 1–2: one reviewer per dimension → dedup (a genuine barrier) → majority-refute skeptic panel per finding → returns { clean, confirmed, unverified, rejected, coverage } — fail-closed on any dimension that didn't run AND on any skeptic panel that died below quorum (those findings come back unverified, kept open, never dropped). Launch via the Workflow tool with { root, diffCmd }; prefer it over hand-orchestrating the fan-out.
fan-out-work (skill) — parallel per-dimension review over the diff.
adversarial-verify (skill) — the per-finding refutation gate (Phase 2) — the core signal mechanism.
converge-loop (skill) — the optional bounded fix loop for confirmed blockers.
checkpoint-resume (skill) — durable review/fix state.

Output Contract

Report:

scope + diff size (flag if it should be split); dimensions that ran (coverage — fail closed on gaps)
verified findings by severity (Blocker / Concern / Nit / FYI): file:line, issue, failure scenario, suggested fix
unverified findings — where the skeptic panel died below quorum (fail closed: kept OPEN as needing re-verification or hand review, never dropped or counted clean) — matches the workflow's unverified return
rejection ledger — findings refuted by verification (so filtering is visible)
if --fix: confirmed blockers resolved (each re-verified, no regressions) vs. left for the user