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dsh-auto-review

v0.6.0

Published

Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent decides allow/deny on the approval answerer chain, with fail-closed fallback and full session-log audit.

Readme

🤖 dsh-auto-review

Gitee

Second-model AI approval for DeepSeek Harness — a read-only reviewer subagent decides allow/deny on the approval chain, fail-closed by default.

When an action crosses the sandbox boundary, a second model reads the evidence and returns a verdict with a reason — so humans approve nothing while nothing unsafe slips through.

License DSH plugin Node CI Version npm version npm downloads

English · 简体中文 · Español · Português · हिन्दी


Compatibility

| Surface | Status | |---|---| | Harness | DeepSeek Harness 0.1.1-rc.2 (dependencies pinned to 0.1.1-rc.2; peers >=0.1.0-rc.8 <0.2.0) | | Node | ^22.19.0 \|\| >=24.0.0 | | Platforms | All (host answerer; optional Web review panel via the session-projection capability) | | Model | Any (the reviewer inherits the session agent's route; reviewerModel overrides) |

What you get

dsh-auto-review puts a second model on the approval/request answerer chain:

  1. Official seam — an answerer that claims only the requests it owns (ai policy) and delegates everything else via next(); the human approval flow is never short-circuited.
  2. Read-only reviewer subagent — a one-shot fork with a read/glob/grep tool allow-list returns a structured verdict { decision, reason, riskLevel }. Reviewer asks are recognized by identity and delegated; maxDepth + the allow-list keep the reviewer non-delegating.
  3. Fail closed — reviewer crash, timeout, or schema mismatch resolves through fallbackPolicy (default rejected); a deny verdict feeds its reason back to the calling model.
  4. Config-driven routing — per-tool policies (ai/human/never) plus regex risk rules, all changeable from cordis.yml.
  5. Deny reasons reach the model — the reviewer's reason is injected into the denied tool result (callId-linked); fallback and never-policy rejections inject auditable markers too ([auto-review] / [auto-review-fallback] / [auto-review-never]).
  6. Full audit trail — log-only autoReview/verdict + autoReview/rejection session events (envelope ignorable: true) plus an optional invariant companion enforcing marker ⟺ event.
  7. Safety knobs — a rejection circuit breaker (3 consecutive denials, or 6 of the last 10 verdicts, per turn), a risk-level policy, a one-shot /auto-review approve override, and a never-policy hard disable that explains itself to the model.
  8. Optional reviewer context — a bounded compact transcript (contextBudget) plus a Codex-style Markdown ruling policy (reviewerPolicyText).

Every decision reconstructs from the session log: approval/askedautoReview/verdict (or autoReview/rejection) → approval/decided.

Why a second model instead of rules?

Pattern-based auto-approvers decide before dispatch, with no evidence. dsh-auto-review gives the decision to a reviewer subagent that reads the actual workspace (through its read-only tool face), the already-streamed tool-call arguments (sensitive values redacted), the request reason, and your risk rules — then returns a structured verdict. A deny verdict feeds its reason back to the calling model, so the agent learns why instead of retrying blindly.

Quick start

# 1. install the bundle into your profile
dsh plugin --profile web add "github:PerryLink/dsh-auto-review#main"

# or from npm (published releases)
dsh plugin --profile web add dsh-auto-review

# 2. restart and verify the row
dsh --profile web --dump-config | grep -A4 'id: auto-review'

Out of the box the shipped patch AI-reviews bash and write; every other tool (including edit — in-place modification) delegates to the human chain. Add edit: ai explicitly if you accept in-place edits without a human in the loop.

Install & uninstall

  • git channel (latest main): dsh plugin --profile web add "github:PerryLink/dsh-auto-review#main" — the isolated prepare build needs the single allowBuilds: { esbuild: true } key the dsh CLI prints for dsh-auto-review.
  • npm channel (published releases): dsh plugin --profile web add dsh-auto-review.
  • tarball channel: pnpm pack in this repo, then dsh plugin --profile web add ./dsh-auto-review-<version>.tgz.
  • uninstall: dsh plugin --profile web remove dsh-auto-review (or remove the row from the profile patch).

Configuration

All tunables are Schemastery Config fields (changeable from cordis.yml). An id-targeted override replaces the whole row — restate every key you need.

| Key | Default | Meaning | |---|---|---| | enableByDefault | true | Sessions start with auto-review enabled; /auto-review on\|off writes a durable override that beats this | | toolsPolicy.default | human | Policy for unlisted tools (delegate to the human answerer) | | toolsPolicy.overrides | {} | Per-tool policy: ai / human / never | | riskRules | [] | {pattern, policy, field?} matched before the tool table; field selects reason (default), toolName, or arguments | | reviewerProvider | fork | Subagent provider for the reviewer (in-process fork backend) | | reviewerModel | (inherit) | Reviewer model id; unset inherits the session agent's route | | reviewerTimeoutMs | 60000 | Verdict deadline; on expiry the fallback policy applies | | reviewerTools | [read, glob, grep] | The reviewer child's tool allow-list (must be non-empty) | | fallbackPolicy | rejected | Reviewer failure: rejected (fail closed) / delegate / allow-once | | maxReviewsPerTurn | 10 | Real AI-verdict budget per open turn; beyond it, requests delegate | | maxFailuresPerTurn | 10 | Reviewer-failure budget per open turn | | reasonMaxChars | 2000 | Cap for reviewer reasons and the redacted argument preview | | reviewerGuidance | (none) | Optional advisory guidance appended to the reviewer prompt | | reviewerPolicyText | (none) | Markdown ruling policy injected into the reviewer prompt (Codex-style) | | denyGuidance | (anti-circumvention text) | Guidance appended to every injected deny reason | | contextBudget | {turns: 0, maxChars: 4000} | Compact transcript budget for the reviewer prompt; turns: 0 disables | | riskPolicy | {maxAutoAllow: high, onHighRisk: delegate} | allow verdicts above maxAutoAllow delegate or deny | | circuitBreaker | {consecutiveDenies: 3, windowDenies: 6, windowSize: 10, action: delegate} | Rejection circuit breaker | | overrideTtlMs | 300000 | How long a /auto-review approve override stays usable | | language | en | UI language of the /auto-review command output (en | zh) | | allowUnmarkedAudit | false | Force session-log audit on hosts that drop the ignorable marker (dangerous: unmarked events make sessions unresumable elsewhere); default is detect-and-degrade |

Example (annotated full form: fixtures/config/config-full.yaml):

- insert:
    - id: auto-review
      name: dsh-auto-review
      config:
        toolsPolicy:
          overrides: { bash: ai, write: ai }
        riskRules:
          - pattern: '(?i)(rm\s+(-[a-z]+\s+)*/|git\s+push\s+--force)'
            policy: never
          - pattern: 'write'
            policy: never
            field: toolName
        reviewerTimeoutMs: 30000
        fallbackPolicy: delegate
        riskPolicy: { maxAutoAllow: medium, onHighRisk: delegate }
        circuitBreaker: { consecutiveDenies: 3, windowDenies: 6, windowSize: 10, action: delegate }

Tools & surfaces

| Surface | Kind | Notes | |---|---|---| | auto-review | answerer | approval/request waterfall answerer — claims ai-policy requests, delegates the rest via next() | | /auto-review | command | on\|off\|status\|approve [n] — durable per-session override, budgets, and cumulative statistics | | deny-reason injection | listener | tools/post-execute — verdict / fallback / never reasons fed back to the denied tool result | | autoReview | session projection | Folded from the log-only autoReview/* events | | Web review panel | client | Session-header action: switch, budgets, statistics, recent verdicts, one-shot approve | | dsh-eval | CLI | YAML-driven agent evaluation engine (bin/dsh-eval.mjs) | | invariant companion | invariant | dsh-auto-review/invariant (optional; needs the invariants service) |

Session command

/auto-review on|off|status|approve [n]

on/off append the durable autoReview/state override (the fold survives restart/resume — replay IS the state) and inject a switch notice the model sees (logged as a user/message event). status reports the effective state, both per-turn budgets (AI verdicts and reviewer failures), a tripped circuit breaker when one is active, and the session's cumulative statistics (allows/denies/fallbacks/never rejects, mean duration, recent verdicts). approve [n] records a single-use autoReview/override for the n-th most recent denial (1 = most recent): the next same-tool review within overrideTtlMs carries the authorization as reviewer context — the reviewer still decides, and the override is consumed by that review regardless of its outcome.

Web review panel

In the Web GUI (web profile), the package contributes a session-header action (AI Review) that opens a panel with the session's auto-review state: the switch with on/off buttons (they execute /auto-review on|off), both per-turn budgets, cumulative statistics (including hard-disable rejections), the circuit trip, the recent verdicts, and one-shot approve buttons for recent denials (they execute /auto-review approve [n]).

How it is wired:

  • The host registers an autoReview session projection (folded from the log-only autoReview/* events) and serves it through the session-projection channel.
  • The browser half is a client module (auto-discovered from the dsh.client declaration) registered on the conversation.session.header.actions seat.
  • No extra patch rows are needed: the panel loads whenever the plugin is installed in a profile whose web build provides the session-projection capability (the web profile does). Without that capability the panel reports itself unavailable; the answerer is unaffected.

The panel reads only whole projection values — it never receives the raw session event stream.

How it works

                       approval/request waterfall (answerer chain)
                        │
┌───────────────────────┴──────────────────────┐
│ dsh-auto-review answerer                     │
│  · session enabled?  · policy = ai?         │   no ── next() ──▶ human answerer (UI)
│  · risk rules → toolsPolicy → default       │
└───────────────────────┬──────────────────────┘
                        │ yes
                        ▼
        ┌───────────────────────────────────┐
        │ reviewer subagent (fork, one-shot)│
        │  · toolFilter: read/glob/grep     │
        │  · outputSchema: {decision,       │
        │    reason, riskLevel}             │
        │  · timeout + req.signal abort     │
        └───────────────┬───────────────────┘
                        │ verdict / failure (fail-closed fallback)
                        ▼
 allow → allowed-once        deny → rejected + reason injected into the
                                       denied tool result (callId-linked)
                        │   never → rejected + [auto-review-never] feedback
                        │            (hard disable, no reviewer runs)
                        ▼
 audit: approval/asked → autoReview/verdict | autoReview/rejection
        → approval/decided (session events, log-only, invariant-checked)

Composition order. The answerer runs at its registration position in the waterfall: if a human UI answerer is composed BEFORE the auto-review row, humans answer first and the reviewer only sees what is delegated downstream. Verify with dsh --profile <name> --dump-config and place the auto-review row before your human answerer rows when you want ai-policy tools routed to the reviewer first.

dsh-eval — agent evaluation engine

Beyond the approval reviewer, dsh-auto-review ships dsh-eval: a YAML-driven agent evaluation platform that runs real headless DSH sessions (one isolated agent + scratch workspace per case, the official Minimal persona as the baseline system prompt), collects the tool-call trace from the session event log, and evaluates structured assertions plus an optional second-model review — the same reviewer seam as the approval answerer.

# eval/cases/demo.yaml (abridged)
suite:
  name: my-suite
  cases:
    - id: math-output
      input: Solve 17 × 24 and reply with only the final number, nothing else.
      expect:
        output: { contains: "408" }
    - id: glob-trace
      seedFrom: '.'
      input: Use the glob tool with pattern "src/**" to list the source files…
      expect:
        toolCalls: [{ tool: glob, arguments: { contains: { pattern: "src" } } }]
        results: [{ tool: glob, contains: "index.ts" }]

Run it (a DeepSeek API key must be in the environment):

dsh-eval eval/cases --model deepseek-v4-flash --timeout-ms 240000 --out .eval-reports

Assertion families

The expect block supports six assertion families; each assertion is evaluated independently and reports its own pass/fail with expected/actual values, so a failing case explains itself without a rerun.

| Family | DSL keys | What it gates | |---|---|---| | Tool trace | toolCalls, toolCallsExact, noToolCalls, results | ordered tool-call sequence (subsequence with skips), exact name sequence, per-tool result (isError/contains/regex) | | Output & budget | output, turnEnds, maxTokens | final-output substring/regex, turn outcome, token budget | | Prompt regression | prompt | the rendered system prompt must match a committed baseline (or a baselineFrom file); any drift is reported as a side-by-side diff, with allowedChanges regexes to whitelist intended edits | | Stress metrics | stress | P99 step latency (maxP99Ms), worst time-to-first-token (maxTtftMs), aggregate token generation speed (minTokensPerSecond) | | Fairness | bias | bias radar over the final output: per-category regex counts (categories), hard forbid patterns, maxHits/maxCategoryHits caps | | Second-model review | review | a supplementary pass/fail verdict from the reviewer subagent (a separate layer, same seam as the approval reviewer) |

- id: regression-gate
  input: Answer in one sentence.
  expect:
    prompt:
      baseline: "You are a helpful software engineer assistant."
      allowedChanges: ["copyright-year"]
    stress:
      maxP99Ms: 8000
      maxTtftMs: 3000
      minTokensPerSecond: 20
    bias:
      categories: { gender: ["[Hh]e is (un)?stable"] }
      forbid: ["[Ss]crew that"]
      maxCategoryHits: 0

CI gate: the process exits 0 only when every case of every suite passed — failing evaluations fail the build. Each case leaves a replayable session JSONL and a trace JSON beside report.md/report.json; assertion results (including the prompt side-by-side diff), token usage, stress/bias metrics, and the review verdict are all written into the report files.

- name: dsh-eval
  run: npx dsh-eval eval/cases --model deepseek-v4-flash --timeout-ms 240000 --out .eval-reports
  env:
    DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}

dsh-eval differs from openai/codex-research: codex-research scores agent trajectories for research comparison; dsh-eval is a declarative pass/fail regression harness — YAML cases, structured trace/prompt/stress/bias assertions, an optional second-model review, and a CI exit code — for gating any DSH agent, not research ranking.

Permissions & data

  • Permissions: the workshop manifest declares session:append, approval:answer, subagent:spawn, command:register, and tools:observe.
  • Data: nothing is stored on disk; the report ring buffer is in-memory and bounded. No network requests of its own.
  • Session log: autoReview/* events carry reviewer identity, verdict, reason, risk, and duration — appended with the envelope's ignorable: true marker so any build loads the log. Hosts whose Session.append predates the marker (every released rc line through 0.1.1-rc.2 — no release stamps it yet) are detected before the first append (peer-version pre-check, then a probe of the returned envelope) and audit degrades to an in-memory mirror with marker-free feedback, so sessions stay loadable everywhere.

Security boundaries

  • The reviewer is a model. Its verdicts are advisory policy, not a security kernel; prefer human/never rules for irreversible operations.
  • Fail closed. Every abnormal path (provider missing, capability gaps, start rejection, timeout, non-completed stop reason, missing/malformed verdict, audit-correlation failure) resolves through fallbackPolicy, default rejected — and the rejection feeds an auditable reason back to the model. allow-once grants unconditionally; it exists only for unattended deployments whose admin accepts that risk.
  • Read-only reviewer. The reviewer's toolFilter allow-list (read/glob/grep) cannot write, edit, run bash, fetch the network, or delegate (maxDepth = its own depth). Its session log is persisted and auditable.
  • Sensitive arguments are redacted (key-name matching: token, password, api_key, Authorization, credentials, private keys …) before entering the reviewer prompt; the plugin never executes the reviewed arguments. Redaction is key-based, not content-based — do not AI-review tools whose argument values you cannot afford to show a model.
  • Hard disables explain themselves. A never tool or risk rule rejects deterministically AND records a log-only autoReview/rejection event, then injects a [auto-review-never] marker into the denied tool result — the model learns the action is hard-disabled instead of retrying it (invariant-checked: marker ⟺ event).
  • Rejection circuit breaker. A run of denials in one turn trips the breaker (consecutiveDenies / windowDenies inside windowSize), recorded as a log-only autoReview/circuit event; later requests follow its action (delegate / reject / abort-turn).
  • Reviewer context is presented transcript. contextBudget feeds already-presented session content to the reviewer. With the default same-route reviewer model that content stays inside one provider; configure reviewerModel to a different provider only if you accept presenting that transcript to it.
  • never is one-way at this layer. A never tool or risk rule rejects before the human chain sees the request — a lockdown knob, not a default.

Known limitations

  • The reviewer needs a working LLM route (inherited by default); without one every review falls back per fallbackPolicy — never a silent grant.
  • reviewerTools names must exist as global tools in the profile; an unknown name fails the reviewer child loudly at the earliest point and falls back.
  • Risk rules match the request reason, the toolName, or the redacted call arguments per their field; other conditions belong in toolsPolicy.overrides.
  • The /auto-review approve override authorizes the next same-tool review, not the exact historical call; a different action on the same tool consumes it.
  • The verdict events are log-only; the Web review panel reads the folded autoReview projection (the raw event stream never reaches browser plugins).
  • autoReview/state and autoReview/verdict are appended with the envelope's ignorable: true marker on hosts that honor it, so any harness build loads the log — readers that do not know the out-of-repo types simply skip those records. On released rc hosts (rc.1–rc.8) the runtime detects the dropped marker and never writes these events (the in-memory mirror keeps the command, budgets, breaker, and approve working for the session); sessions already polluted by pre-0.5.1 versions can be repaired with scripts/repair-session-logs.mjs from dsh-permission-rules (its default target set covers all five autoReview/* event types).
  • The git channel needs the single allowBuilds key the dsh CLI prints for dsh-auto-review itself. The repo ships its own pnpm-workspace.yaml with allowBuilds: { esbuild: true }; typescript + tsdown are regular dependencies.
  • The optional invariant companion needs the invariants service (agent-spine compositions such as headless/ACP); the plain web profile does not provide it, so the row ships commented out in the bundle patch.

Related work

  • Andy8647/dsh-auto-approval — two-state allow/deny classifier on the tools/pre-execute waterfall with file-log audit. dsh-auto-review deliberately differs: official answerer chain, always delegates what it does not own, read-only second model with a structured verdict, deny reasons fed back to the model, session-log audit.
  • ACP automation bridge — one-shot machine decisions for its own ACP-owned agents. dsh-auto-review is session- and tool-policy-scoped for the interactive harness; it never infers durable grants.

Development

pnpm install                # node ^22.19 || >=24
pnpm run typecheck          # tsc: src + tests against the local harness checkout
pnpm test                   # vitest: 233 tests, 20 files
pnpm run build              # tsc declarations + tsdown bundles (lib/, incl. the client bundle)
pnpm run verify:self-contained
pnpm pack                   # the published tarball

Repository layout: src/index.ts (plugin contract) · src/config.ts (Schemastery schema + resolution) · src/runtime.ts (answerer, command, deny-reason injection) · src/review.ts (reviewer orchestration, prompt, sanitization) · src/events.ts (session-event vocabulary + folds) · src/audit.ts (host ignorable-marker capability detection) · src/projection.ts + src/projection-types.ts (the autoReview session projection) · src/invariant.ts (invariant companion) · src/eval/ (the dsh-eval engine) · eval/ (shipped evaluation composition) · bin/dsh-eval.mjs (CLI launcher) · src/client/ (browser half) · test/ · fixtures/.

Topics

deepseek-harness, dsh, dsh-plugin, cordis, approval, auto-review, second-model, ai-safety, sandbox, subagent

Contributors

  • @PerryLink — creator and maintainer: the approval answerer, the reviewer subagent, risk policy and circuit breaker, the session-projection review panel, the invariant companion, dsh-eval, and the five-language docs.

PerryLink DSH Plugin Family

This project is one of the DeepSeek Harness plugins maintained by PerryLink. If this one helps you, the others likely will too:

| Plugin | One-liner | |---|---| | dsh-mcp-panel | Read-only MCP runtime panel: /mcp command + Settings tab with status, tools and errors | | dsh-doublecheck | Engineering-discipline guard: requirements grill, test gates, adversary review | | dsh-background-agents | Durable background child agents with a Web UI sidebar, messaging and interrupt | | dsh-lsp-actions | LSP diagnostics, formatting, completion, code actions and rename over language servers | | dsh-output-styles | Claude Code outputStyles-equivalent runtime style switching | | dsh-checkpoint-rewind | Claude Code /rewind-equivalent: snapshots, session forks, one-shot restore | | dsh-permission-rules | Claude Code-style declarative allow/deny/ask permission rules with audit | | dsh-auto-review | Second-model auto-review on the approval chain, fail-closed by default | | dsh-memento | Approval-gated cross-session memory: ctx.memory seam + SQLite + memory tool | | dsh-skill-pack-security | Security-audit skill pack: secret scan, dependency and supply-chain review | | dsh-session-pin | Pin sessions in the Web sidebar with durable ordering | | dsh-composer-history | Terminal-style input history for the web composer: arrows, Ctrl+R search | | dsh-github | GitHub PR/issues integration for DSH, every write gated by approval | | dsh-plugin-guide | Plugin-development knowledge base as an on-demand agent skill | | dsh-claude-move | Migrate Claude Code sessions, memory, skills and CLAUDE.md into DSH |

License

Apache License 2.0 © 2026 dsh-auto-review contributors