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/swarm-review

Milestone review sweep — a strong model audits everything since the last sweep against the spec: requirement fulfillment, standards, simplification, risk. Use when a milestone's tickets are done, before opening the next milestone, or when asked to review/audit/validate completed

From plugin
anmarhani-swarmvault
515 skills
Install
$ npx -y skills add AnmarHani/SwarmVault --skill swarm-review --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/swarm-review

Context preview

The summary Claude sees to decide when to auto-load this skill.

Milestone review sweep — a strong model audits everything since the last sweep against the spec: requirement fulfillment, standards, simplification, risk. Use when a milestone's tickets are done, before opening the next milestone, or when asked to review/audit/validate completed

SKILL.md

swarm-review.SKILL.md
name: swarm-review
description: Milestone review sweep — a strong model audits everything since the last sweep against the spec: requirement fulfillment, standards, simplification, risk. Use when a milestone's tickets are done, before opening the next milestone, or when asked to review/audit/validate completed work.

swarm-review — the milestone gate

Reviews against the **spec**, not just the code — that is the difference between this and a linter. Expect a top-tier model; warn if the session runs less. Milestone cadence only (token economy): not per-commit.

**Scope:** the milestone's diff (git log since last sweep), its tickets, and its FR specs.

The four lenses, in order

1. **Fulfillment** (the one that matters most): every Must-FR of the milestone, individually — no sampling. Are the acceptance criteria actually met? Do the tests *assert the criteria* (not just execute the code)? Is the FR → ticket → commit → test chain intact? 2. **Standards:** naming, error handling (exceptions handled, not swallowed), comment discipline (light, constraint-stating), test quality (behavior asserted, not implementation), commit hygiene — audited against swarm-implement's `references/clean-code.md` where available, **including its dogma traps**: fragment soup, one-implementation abstractions, pattern theater, and SRP shrapnel are findings, not compliance. **End-user text** shipped in the milestone (UI strings, README, release notes, marketing) is audited against the project's `voice.md` and the audience firewall — load swarm-write for the criteria. 3. **Simplification:** duplicated logic to merge, needless abstraction to delete, blocks that could be simpler or generalized. If a fix is obvious and small, still ticket it — see the rule below. 4. **Risk:** input validation gaps, security smells, and a devil's-advocate pass — "what assumption, if wrong, hurts most?"

Findings

One per issue, compact (machine lane): severity (`blocker/major/minor`), FR link, `file:line` evidence, concrete suggested fix. Write the report to `30 Plans/<P>/reviews/M<N>-sweep.md` (human-lane summary + machine-lane findings), then **one ticket per accepted finding** — findings that stay chat messages die in scrollback.

**Never auto-fix.** Reporting and fixing in the same pass corrupts the review; fixes are swarm-implement's job via the tickets.

Closing the gate

  • **Gated mode:** present the report; the user decides what's waived; milestone closes on

their word.

  • **Auto mode:** the sweep IS the gate — `blocker`/fulfillment findings must be fixed and

re-swept before the next milestone opens; the user reads the report in the vault at their leisure. Minor findings may carry forward as open tickets.

Update flow-state either way (J1).

--- *Influences: Pocock's code-review (two-axis); Jeffallan's code-reviewer & security-reviewer & the-fool; superpowers verification-before-completion; euxx code-simplifier — see CREDITS.md.*

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Ships withanmarhani-swarmvault

Your AI agents don't synchronise. SwarmVault does. One shared memory for Claude Code, Codex, and any other CLI agent. Real software engineering: requirements → design → tickets → review. 14 skills, the best of everything combined.

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Python
Language
MIT
License
1mo ago
Last commit
2mo ago
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Repo: AnmarHani/SwarmVault

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