sdlc-review

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# SDLC Review Skill

Independently verify work handed from a Kanban implementation run to the review lane, then approve it, request changes, or escalate. This skill reviews the deliverable and its evidence; it does not take over the implementer's work.

## When to Use

Use this skill when all of the following are true:

- the dispatcher spawned you for a task claimed from the `review` lane;
- an implementer submitted a `review_requested` handoff;
- the task needs an independent verdict before it can be completed.

Do not use it for a separate downstream review card. A downstream card is ordinary implementation work with a review-oriented specification and completes through its own lifecycle.

## Prerequisites

- A Kanban worker context with the current task and run identifiers.
- Native Kanban tools: `kanban_show`, `kanban_comment`, `kanban_complete`, `kanban_request_changes`, and `kanban_block`.
- Workspace access through `read_file`, `search_files`, and `terminal` when the deliverable is code.
- The task's original specification, acceptance criteria, handoff summary, and prior run history must be available through `kanban_show`.

## How to Run

This skill is loaded automatically by the review dispatcher. Start with `kanban_show` before inspecting files or choosing a verdict.

1. Read the task specification and the latest `review_requested` handoff.
2. Inspect the actual deliverable and run relevant verification.
3. Choose exactly one verdict: approve, request changes, or escalate.
4. Record concrete evidence in the terminal Kanban transition.

## Quick Reference

| Verdict | When | Final action |
|---|---|---|
| Approve | Acceptance criteria and verification pass | `kanban_complete` |
| Request changes | Correctable implementation defects remain | `kanban_comment`, then `kanban_request_changes` |
| Escalate | A human decision or external prerequisite is required | `kanban_block` |

A requested-changes transition returns the task to its original implementer. When that implementer requests review again without naming a reviewer, the persisted reviewer provenance routes the re-review back to the same reviewer profile.

## Review Lenses

Vary how you look at the work on each round instead of repeating the same inspection. Decorrelated lenses catch different defect classes: a cold read of the artifact surfaces design and correctness problems that the implementer's narrative would have framed away, execution surfaces claims that do not reproduce, and a strict contract audit surfaces quiet scope drift. Repeating the round-1 lens on round 3 mostly re-finds what round 1 already found.

Determine the current round from the history the task record already gives you: count the `changes_requested` entries in the "Prior attempts on this task" section of your worker context (also visible as prior runs in `kanban_show`). The current review round is that count plus one. Round 1 therefore shows zero `changes_requested` attempts; round 2 shows one; and so on.

| Round | Lens | How to apply it |
|---|---|---|
| 1 | Artifact | Read the diff or deliverable cold, before the implementer's summary. Form an independent judgment, then compare it against the handoff narrative and investigate every mismatch. |
| 2 | Execution | Check out the work and actually run it via `terminal`: build, test, and exercise the reported behavior yourself. Verify each handoff claim empirically instead of re-reading the artifact. |
| 3+ | Contract | Re-read the ORIGINAL task body and acceptance criteria, then audit the deliverable strictly against them. Also verify that every item from every prior `kanban_request_changes` round actually landed. |

The baseline duties in the Procedure section still apply on every round; the lens sets which inspection you lead with and weight most heavily.

### Lens variation for ad-hoc review fan-outs

The same principle applies outside the Kanban review lane. When spawning multiple parallel reviewers via `delegate_task`, give each reviewer a different lens — one diff-only brief, one full-context brief, one checkout-and-run brief — rather than identical briefs. Identical briefs produce correlated verdicts and duplicate findings; varied briefs cover more defect classes for the same review spend.

## Procedure

### 1. Orient from the durable task record

Call `kanban_show` and identify:

- the original task body and acceptance criteria;
- the latest implementation summary and structured metadata;
- changed files, commit identifiers, and test evidence;
- comments and decisions from earlier runs;
- findings from prior review rounds.

Treat the handoff as a claim to verify, not as proof that the work is correct.

### 2. Compare requested behavior with delivered behavior

Map every acceptance criterion to concrete implementation or output evidence. Note omissions, changed semantics, and unrelated scope before deciding whether to run deeper checks.

For code work:

1. Use `read_file` and `search_files` to inspect the changed paths and their callers.
2. Use `terminal` to inspect the diff and run the project's existing focused tests, lint, type checks, or build commands.
3. Exercise the reported failure path and at least one ordinary control path when practical.
4. Check error handling, edge cases, concurrency boundaries, data preservation, security boundaries, and cross-platform behavior relevant to the change.
5. Confirm that tests assert behavior rather than merely snapshotting source text or constants.

For non-code work:

1. Inspect the complete deliverable rather than only its summary.
2. Check correctness, completeness, formatting, and provenance.
3. Validate referenced URLs or external facts with the appropriate native tools when they affect the verdict.

### 3. Choose one verdict

#### Approve

Approve only when the acceptance criteria are satisfied and the evidence is sufficient. Call:

```text
kanban_complete(
    summary="Reviewed and approved. <what was verified>",
    metadata={"review_outcome": "approved", "reviewer_checks": [...]}
)
```

Include the exact checks that passed and any bounded caveat that does not block acceptance.

#### Request changes

Use this for specific, correctable defects. First record actionable findings:

```text
kanban_comment(
    task_id="<current-task-id>",
    body="Changes requested:\n1. <file or artifact + defect>\n2. <required correction>",
)
```

Then return the same task to its implementer:

```text

From harezadmm/omp-enhanced, MIT.

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