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скилл CX Codex

fallow-review — скилл для Claude Code: что делает и как установить

Строит граф изменений для ревью диффа, убирает детерминированный шум и выделяет ключевые архитектурные решения перед мержем.

Установить в Claude Code · Через Skills CLI (Vercel) Все способы и платформы ↓
npx skills add fallow-rs/fallow-skills --skill fallow-review -a claude-code
Открыть на GitHub

Что делает fallow-review

Скилл превращает дифф или пуллреквест в структурированную сводку для проверки изменений. Он отсекает шумные проверки вроде форматирования, мёртвого кода или дублирования, потому что ими должны заниматься обычные линтеры. Вместо этого инструмент оценивает радиус поражения правок и выносит наружу три категории решений: изменения контрактов публичного API, пересечения границ между модулями и мажорные обновления пакетов в package.json.

Внутри запускается команда fallow review, которая читает граф репозитория и формирует список решений с привязкой к детерминированным сигналам signal_id. Для расширенного анализа архитектурных компромиссов предусмотрен шаблон references/tradeoff-elicitation.md, который агент разбирает вместе с диффом. При этом команда review всегда завершается с кодом 0 и не блокирует сборку в пайплайне — для жёсткого контроля качества перед релизом нужно вызывать fallow audit.

Какие задачи решает

  • выделить изменения публичного API и пересечения границ модулей
  • убрать форматирование и мёртвый код из фокуса ревью
  • проверить мажорные обновления зависимостей в package.json
  • передать агенту структурированный дайджест изменений с signal_id

Примеры запросов агенту

  • Проведи ревью ветки через fallow-review перед мержем в main.
  • Запусти fallow review --base origin/main и покажи архитектурные риски в диффе.

Как установить fallow-review

1Через Skills CLI (Vercel)

npx skills add fallow-rs/fallow-skills --skill fallow-review -a claude-code

2Вручную: положить файлы

~/.claude/skills/fallow-review/SKILL.md

Папка скилла целиком; для одного проекта — .claude/skills/fallow-review/

По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов

Вопросы о fallow-review

Как установить fallow-review в Claude Code?

Выполните команду npx skills add fallow-rs/fallow-skills --skill fallow-review -a claude-code. Конфигурация скилла будет записана в ~/.claude/skills/fallow-review/SKILL.md.

Чем fallow-review отличается от fallow audit?

Команда fallow review всегда возвращает код завершения 0 и готовит дайджест для вдумчивого анализа человеком или агентом. Если требуется заблокировать сборку в CI при обнаружении ошибок, запускайте fallow audit.

Какие изменения зависимостей отслеживает скилл?

Он фиксирует только добавление новых пакетов и мажорные обновления версий (либо минорные для версий 0.x) в файлах package.json. Обычные патчи и минорные апдейты стабильных библиотек скилл игнорирует.

Исходный текст

SKILL.md · MIT
---
name: fallow-review
description: >-
  Review AI-generated or human-written code changes with fallow's
  graph-grounded review brief. Subtracts deterministic concerns (unused code,
  complexity, duplication, styling) from the loop, ranks what to look at by
  blast radius and risk, and surfaces the few consequential structural
  decisions (new public-API contracts, coupling/boundary crossings, new
  dependencies) as framed judgment questions anchored to verifiable signals.
  Drives a closed agent-contract loop: fetch the walkthrough guide, return a
  judgment, and have fallow post-validate it against the live graph
  (hallucinated or stale judgments are rejected). Use when asked to review a
  PR, review a branch, review a diff, do a code review, or check changed code
  before merge.
license: MIT
---

# Fallow Review: graph-grounded code review

`fallow review` turns a changeset into a deterministic, graph-derived review brief and an agent-contract loop. It answers "where do I look, and what calls actually need human taste?" rather than "will CI block this?" (that is `fallow audit`, which gates). `review` always exits 0, so it is safe to run regardless of verdict.

The four jobs it does, in order:

- **subtract**: dead code, complexity, duplication, and styling for the changed files are reported and kept OUT of the judgment loop, so attention is not spent on what a deterministic check already owns.
- **focus**: changed-file units are ranked by a composite attention score (fan-in/out, risk zone, change shape) with a `review-here` / `not-prioritized` label and a full `deprioritized` escape-hatch list, so nothing is hidden.
- **structure**: the decision surface lifts the handful of consequential STRUCTURAL decisions out of the diff and frames each as a judgment question, capped to a working-memory-sized set, each anchored to a `signal_id` fallow emitted.
- **direct**: the walkthrough guide hands an agent a graph-derived digest, the review direction, a graph-snapshot pin, and the exact judgment schema to return.

## When to use

- Reviewing a PR, branch, or diff (AI-generated or human-written) before merge.
- After an agent has done work and removed the fallow findings it could; this surfaces what is left for human/agent taste.
- Producing inline-reviewable judgments that can flow back to the agent that wrote the code.

## When NOT to use

- Gating CI on a pass/fail verdict: use `fallow audit` (it exits non-zero on a fail verdict).
- Whole-project health, cleanup, or dead-code reports: use the `fallow` skill.

## Quick human brief

```bash
# Auto-detect the base (merge-base against the upstream / remote default):
fallow review

# Pin the base, or scope to a precise diff:
fallow review --base origin/main
git diff --find-renames origin/main...HEAD | fallow review --base origin/main --diff-stdin
```

The human brief prints the orientation facts, the focus map, and the decision surface ("Decisions to make"). `--format json` emits the full structured envelope (`decisions`, `focus`, `deltas`, `impact_closure`, `partition`, `graph_facts`). `--max-decisions N` tunes the cap (clamped to a small band). `--show-deprioritized` expands what the focus map collapsed.

## The decision surface

Each decision is a framed question anchored to a `signal_id` fallow deterministically derived from the graph (a delta key or a coordination-gap key). There are exactly three shippable categories:

- **coupling-boundary**: a new cross-zone dependency edge.
- **public-api-contract**: a new exported public-API surface, or a changed contract consumed by modules OUTSIDE this diff (a coordinate-or-confirm signal).
- **dependency**: a changed `package.json` that adds third-party entries or moves a declared entry across a major version (or a `0.x` minor). One batched decision per manifest per kind, weighted by the graph's in-repo importers of the affected packages: `blast` is the importer count, `internal_consumer_count` the importers outside the diff. Both counts are a union over the batched packages. An entry outside `dependencies` shows a `(dev)`, `(optional)`, or `(peer)` tag in the question. `digest.deltas` carries the keys as `dependency_added` (`<manifest>::<name>`) and `dependency_major_bumped` (`<manifest>::<name>@<from>-><to>`); both lists are always present, possibly empty. Minor and patch bumps and non-numeric ranges (workspace, file, git, tags) are never candidates. A `dependency` decision has no `suppress` action: it anchors on `package.json`, which cannot carry a comment, so never paste a `// fallow-ignore` line into a manifest. The `decision_surface` MCP tool surfaces the same dependency decisions as the CLI. Framing rule: cite the changelog question ("which documented change in `<from>` to `<to>` reaches these N importers?"); do not guess the behavior change.

A decision may carry `previous_signal_id` when its anchor file was renamed in the change: that is the `signal_id` the same decision would have had at the old path, so a review surface can re-attach a prior reviewer comment across a `git mv`.

## Eliciting the broader trade-offs (taste ownership)

The decision surface above is the DETERMINISTIC slice: only the trade-offs fallow can prove from the graph (the three categories). Real architectural trade-offs are broader (abstraction level, error-handling strategy, data-model shape, eager-vs-lazy, state ownership, extensibility-vs-YAGNI, testability, trust boundaries), and none of those are graph-detectable. Surfacing them needs a model reading the diff, not a static pass.

Run the trade-off elicitation prompt in `references/tradeoff-elicitation.md` over the diff plus the guide. It applies TASTE OWNERSHIP: the model makes each choice legible and frames a genuinely open question; the human decides. The prompt carries the honesty contract (diff anchoring, the `observed` / `tradeoff` / `question` split, `deterministic: false` fencing, provenance, the top-five cap with honest abstention, no duplication of the deterministic surface, `options` that never pick). fallow owns what it can prove, the prompt covers the rest, and the fencing keeps the two from being confused.

### Running it as a review step

When you want the trade-off surface alongside the deterministic decisions:

1. Fetch the guide and read the diff:
   ```bash
   fallow review --base <ref> --walkthrough-guide --format json > guide.json
   git diff <ref>...HEAD            # or: git diff --cached  for staged work
   ```
2. Run the `references/tradeoff-elicitation.md` prompt over the diff plus `guide.json`.
3. Keep the envelope (the `{ graph_snapshot_hash, abstained, tradeoffs[] }` shape). The composed review below uses it.

This step is deliberately NOT part of the post-validate agent-contract loop below. The trade-off envelope is never round-tripped through `fallow review --walkthrough-file` (which only validates emitted `signal_id`s), so it carries NO fallow-grade guarantee: every item stays `deterministic: false`, agent-self-checked against the diff, not graph-validated. Do not present it as fallow-validated.

## The agent-contract loop

The loop lets an agent produce judgments that fallow post-validates against the live graph. The verifier is the graph, not a second model.

1. **Fetch the guide:**

   ```bash
   fallow review --base origin/main --walkthrough-guide --format json > guide.json
   ```

   The guide contains: `digest` (the brief + decision surface), `direction` (where to look), `graph_snapshot_hash` (the staleness pin), `agent_schema` (the exact shape to return), and `injection_note`. The digest is built from the graph ONLY; PR prose is never folded in, so the guide is injection-resistant by construction.

2. **Read the decisions** in `digest`. Each carries a `signal_id`, a `category`, the framed `question`, and an `anchor_file` / `anchor_line`.

3. **Return a judgment** matching `agent_schema`:

   ```json
   {
     "graph_snapshot_hash": "<echo the value from the guide>",
     "judgments": [
       {
         "signal_id": "<one signal_id fallow emitted>",
         "framing": "<your reasoning for the human reviewer>",
         "action": "<block | address | consider | fyi>",
         "concern": "<optional: one lens from agent_schema.concern_vocabulary>"
       }
     ]
   }
   ```

   Every `signal_id` MUST be one fallow emitted in the guide (`emitted_signal_ids`). An unanchored id is rejected. Echo the `graph_snapshot_hash` verbatim.

   For a changed region without a finding, a judgment can cite an emitted `change_anchor` (a `chg:` id from the guide's `change_anchors`) in place of a `signal_id`. Each anchor carries `file`, `start_line` and `line_count`. An unknown id is rejected as `unknown-change-anchor`.

   `action` tells the author what the judgment asks of them: `block` and `address` are required actions, `consider` is optional, `fyi` needs nothing. `concern` names the lens; prefer the guide's `agent_schema.concern_vocabulary`, thirteen kebab-case lenses: `abstraction`, `coupling`, `data-model`, `error-handling`, `control-flow`, `performance`, `dependencies`, `api-ergonomics`, `compatibility`, `state-ownership`, `extensibility`, `testability`, `trust-boundary`. The guide publishes both lists as `agent_schema.action_vocabulary` and `agent_schema.concern_vocabulary`; read them from the guide rather than from this file. `action_vocabulary` is enforced; `concern_vocabulary` is advisory, any string is accepted.

4. **Post-validate:**

   ```bash
   fallow review --base origin/main --walkthrough-file judgment.json --format json
   ```

   The response sorts each judgment into:
   - `accepted`: the `signal_id` was emitted and the snapshot matches; the agent's `framing` is fenced as non-deterministic (`deterministic: false`) and never gates. The `action` is echoed next to `agent_framing`, fenced the same way: it is an instruction to the author, never a fallow fact.
   - `rejected` with `reason: "unanchored-signal-id"`: the `signal_id` was never emitted (a hallucination). Drop or correct it.
   - `rejected` with `reason: "invalid-action"` and `invalid_value` (the label fallow refused): the `action` is outside the vocabulary. This is reported only after the anchor resolved; a hallucinated anchor plus a bad label rejects as `unanchored-signal-id` / `unknown-change-anchor` instead. Fix the anchor first, then the label.
   - `rejected` with `reason: "stale-snapshot"` and `stale: true`: the tree moved since the guide was fetched. Re-fetch the guide and redo the judgments.

## Production runtime data (Fallow Cloud)

When the project sends production coverage to Fallow Cloud, check the changed functions against it. Use the scoped reads, not the full runtime-context pull:

- **Before an edit:** `fallow coverage review-packet --repo <owner/repo> --base <ref>` (MCP: `get_cloud_review_packet`). Read `hit_count`, `covered_by_test`, and the callers when present. A hot function with `covered_by_test: null` is a high-risk edit.
- **Before a delete:** require `period_tracking_state: "never_called"` over the period, not only `tracking_state`, and read `evidence_window.observed_hours`. Low observed hours or a low-traffic surface mean "not visited", not "dead".
- **After a deploy:** `fallow coverage deployment-changes --repo <owner/repo>` (MCP: `get_cloud_deployment_changes`). When `comparable` is `false`, report `reason` and claim no change.
- Open files by `repo_path`, not `file_path`.

The data is context: cite it in a `framing`, never as a gate. Field meanings and the full recipe: **[references/production-runtime-data.md](references/production-runtime-data.md)**.

## Compose the review

Validation is not the review. Once the judgments are accepted, render them for a human in this fixed order, so the reader lands on what changes the outcome first and the deterministic remainder last:

1. **Accepted decision judgments**, in `direction.order`. Each one carries the digest `question` and `tradeoff` verbatim, then your `framing`, then the number that gives it weight: `internal_consumer_count`, the `out_of_diff` paths, or the unit's `scoring_budget`.
2. **Trade-offs** from the elicitation step, ranked by `consequence`, at most five. When the envelope is `abstained: true`, print one line saying so; do not fill the slot.
3. **Subtract** as ONE line with the counts from the brief: "handled deterministically: N dead-code, N duplication, N complexity, N styling; not in the discussion". Never re-derive any of these from the diff; the brief already owns them.
4. **Deprioritized** as one line with the count and `--show-deprioritized` as the escape hatch, so nothing is hidden and nothing is padded.
5. A review with zero decisions and an abstained trade-off envelope is a complete review: "nothing consequential; deterministic findings: N". It is not a failure and never a reason to invent items.

Three graph facts feed the composition. Only a `test_reach` note can add an item, and it anchors on a `change_anchor`:

- Each direction unit carries `test_adjacency`: `none` (no test file imports this unit), `untouched` (a test importer exists but is not in the diff), or `changed` (a test importer is in the diff). It is absent for test files and when the graph was not retained. For a `review-here` unit with `none`, ask the author for the verification story in the framing. Never claim coverage; the value says whether a test imports the unit, not whether it exercises the change.
- `digest.test_reach` gives the reach of each changed value export. `status` is `measured` or `no-tests`. `counts` holds every class. `exports` lists rows only for the classes that are not `direct` or `framework`, each with `file`, `export_name`, `line` and `reach`:
  - `transitive`: a test reaches the export, but no test names it.
  - `mocked-only`: the tests replace the file with a mock (`mocked_targets`), so the real code does not run.
  - `none`: a test reaches the file, but no test reaches the export.
  - `none-file`: no test reaches the file.

  Use these rules for `test_reach`:
  - Absent means no fact. Older fallow versions do not emit the field, and it is absent when no value export changed. Then use `test_adjacency`.
  - For a `review-here` unit whose file has a `mocked-only`, `none` or `none-file` row, cite the row (file, export, class). Ask the author for the verification story.
  - A row has no `signal_id`. Anchor the note on a `change_anchor` in the same `file` whose range overlaps the export declaration. When no anchor overlaps, use the first anchor in that file. When a decision for that file exists, put the note in its framing.
  - When `test_reach` and `test_adjacency` disagree, use `test_reach`, because it is per export and it sees mocks.
  - Never write "tested" or "covered" from these facts. `direct` means that a test names the export, not that a test runs the changed lines.
  - The `reach` set is open. An unknown value needs attention.
  - When `exports_omitted` is above 0, the list is incomplete. A file without a row is not proof of `direct` reach. Use `counts`.
  - For `status: "no-tests"`, write one orientation line, not one line per export.
  - For `masking: "capped"`, the graph cannot see mocks. The absence of `mocked-only` rows proves nothing.
  - End-to-end tests do not import files. In a project with an end-to-end runner, a `none-file` row can still have end-to-end tests. Ask, do not assume.
- `digest.partition.independent_slices` lists the connected components of the inter-unit dependency graph, each a sorted list of module directories. It is present only when there are two or more slices; absent means the change is one connected piece. When `digest.triage.risk_class` is `high` and the field is present, name them as an orientation fact: "this change splits into K independent slices along a graph-proven seam". It is never a demand to split; the author owns that call.

Two rules govern the prose. Leverage first: one structural decision plus ten small notes means the decision IS the review; the notes ride below it or not at all. Numbers, not adjectives: every `framing` cites at least one number or path from the guide (a consumer count, an out-of-diff path, a `scoring_budget`). "Could be slow" is not a finding; "imported by 14 modules, 9 outside this diff" is.

## Human-in-the-loop walkthrough (terminal)

The agent-contract loop above carries the AGENT's framing. The SAME loop carries a HUMAN's verdict with the identical graph-validated, anti-hallucination guarantee, so a terminal reviewer can leave notes that fallow anchors and round-trips. The contract is the existing `--walkthrough-guide` / `--walkthrough-file` round-trip, not a new surface.

The human owns the taste; you only carry the note. fallow validates the ANCHOR (the signal or changed region exists), never the note's correctness; every carried note stays `deterministic: false` and never gates.

1. **Render the tour and read the anchors:**

   ```bash
   fallow review --base origin/main --walkthrough                       # the staged human tour
   fallow review --base origin/main --walkthrough-guide --format json > guide.json
   ```

   `guide.json` carries the decision `signal_id`s (the framed structural questions), a per-changed-region `change_anchors` set (each `{ "change_anchor": "chg:<hex>", "file", "start_line", "line_count" }`), and the `graph_snapshot_hash` staleness pin. Surface the tour to the human and collect, per item they choose to flag, a short verdict/note plus the action they want from the author. Offer only the four labels (`block`, `address`, `consider`, `fyi`); an unknown label is refused with `invalid-action`.

2. **Carry each human note as a judgment** (echo the hash verbatim; cite a `signal_id` fallow emitted for a flagged decision, or a `change_anchor` for any other changed region the human notes; carry the human's action as `action`):

   ```json
   {
     "graph_snapshot_hash": "<echo from guide.json>",
     "judgments": [
       { "signal_id": "<an emitted decision signal>", "framing": "<the human's verdict/note>", "action": "address", "concern": "<optional>" },
       { "change_anchor": "<an emitted chg: id>", "framing": "<the human's note on this region>", "action": "consider", "concern": "<optional>" }
     ]
   }
   ```

3. **Validate the capture:**

   ```bash
   fallow review --base origin/main --walkthrough-file judgment.json --format json
   ```

   The response sorts as in the agent-contract loop, with two additions: `accepted` carries `anchor_kind` (`"signal"` or `"change"`), and a `change_anchor` fallow never emitted rejects as `unknown-change-anchor`. Re-anchor to a real signal or region; do not invent one.

4. **Act:** relay the accepted human verdicts into the coding session. Carry each note's `action` so the receiving agent can triage: `block` and `address` are required, `consider` is optional, `fyi` needs no change. The note arrives anchored and fenced, never as a fallow-grade fact.

The guarantee: the human cannot anchor a note to a signal or region fallow did not emit, and a note left against a moved tree is refused rather than silently mis-mapped.

## Rationalizations the loop rejects

| Rationalization | Reality |
|---|---|
| "I can see dead code in the diff, I'll flag it quickly" | Subtract already owns it; a second derivation is noise and can be wrong. Relay the brief's count. |
| "This `signal_id` looks right" | Only `emitted_signal_ids` exist. Anything else is a hallucination fallow rejects as `unanchored-signal-id`. |
| "Five trade-offs is the target" | Five is the ceiling. `abstained: true` with an empty list is a valid, complete answer. |
| "The question is open, I'll just mention the fix" | A named fix is a prescription. Reframe to the open decision, or list two or more options with real costs. |
| "The tree moved a little, the guide is probably still fine" | It is `stale-snapshot`. Re-fetch the guide and redo the judgments. |
| "Tests are green, so the change is good" | Green is a verification fact, not a verdict on the decision surface. The decisions still need the human's call. |
| "A test imports this file, so it is tested" | `test_adjacency` sees only the import. A `mocked-only`, `none` or `none-file` row says that no test reaches the real export through imports. Ask for the verification story. |
| "Production never called it, so delete it" | Check `period_tracking_state` and `evidence_window.observed_hours`. A short window or a rare path means "not visited", not "dead". |

## Notes

- `review` is an alias for `audit --brief`; `--format` is orthogonal to the brief.
- See the `fallow` skill for whole-project analysis, and its `references/cli-reference.md` for the full flag list.

© fallow-rs · MIT · fallow-rs/fallow-skills

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