Orchestrates multi-domain code reviews: analyzes context, selects/executes specialized skills (rust, api, bugs, tests), integrates findings into executive summaries and action plans.
From pensivenpx claudepluginhub athola/claude-night-market --plugin pensiveThis skill uses the workspace's default tool permissions.
modules/output-format-templates.mdmodules/quality-checklist-patterns.mdmodules/review-workflow-core.mdDesigns and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Intelligently selects and executes appropriate review skills based on codebase analysis and context.
# Auto-detect and run appropriate reviews
/full-review
# Focus on specific areas
/full-review api # API surface review
/full-review architecture # Architecture review
/full-review bugs # Bug hunting
/full-review tests # Test suite review
/full-review all # Run all applicable skills
Verification: Run pytest -v to verify tests pass.
| Codebase Pattern | Review Skills | Triggers |
|---|---|---|
Rust files (*.rs, Cargo.toml) | rust-review, bug-review, api-review | Rust project detected |
API changes (openapi.yaml, routes/) | api-review, architecture-review | Public API surfaces |
Test files (test_*.py, *_test.go) | test-review, bug-review | Test infrastructure |
| Makefile/build system | makefile-review, architecture-review | Build complexity |
| Mathematical algorithms | math-review, bug-review | Numerical computation |
| Architecture docs/ADRs | architecture-review, api-review | System design |
| General code quality | bug-review, test-review | Default review |
# Detection logic
if has_rust_files():
schedule_skill("rust-review")
if has_api_changes():
schedule_skill("api-review")
if has_test_files():
schedule_skill("test-review")
if has_makefiles():
schedule_skill("makefile-review")
if has_math_code():
schedule_skill("math-review")
if has_architecture_changes():
schedule_skill("architecture-review")
# Default
schedule_skill("bug-review")
Verification: Run pytest -v to verify tests pass.
Dispatch selected skills concurrently via the Agent tool. Use this mapping to resolve skill names to agent types:
| Skill Name | Agent Type | Notes |
|---|---|---|
| bug-review | pensive:code-reviewer | Covers bugs, API, tests |
| api-review | pensive:code-reviewer | Same agent, API focus |
| test-review | pensive:code-reviewer | Same agent, test focus |
| architecture-review | pensive:architecture-reviewer | ADR compliance |
| rust-review | pensive:rust-auditor | Rust-specific |
| code-refinement | pensive:code-refiner | Duplication, quality |
| math-review | general-purpose | Prompt: invoke Skill(pensive:math-review) |
| makefile-review | general-purpose | Prompt: invoke Skill(pensive:makefile-review) |
| shell-review | general-purpose | Prompt: invoke Skill(pensive:shell-review) |
Rules:
pensive:math-review is NOT an agent)pensive:code-reviewer covers multiple domains, dispatch once with combined scopegeneral-purpose and instruct it to invoke the Skill toolDeferred capture for backlog findings: Findings that are triaged to the backlog (out-of-scope for the current review or deferred by the team) should be preserved so they are not lost between review cycles. For each finding assigned to the backlog, run:
python3 scripts/deferred_capture.py \
--title "<finding title>" \
--source review \
--context "Review dimension: <dimension>. <finding description>"
The <dimension> value should match the review skill that
surfaced the finding (e.g. bug-review, api-review,
architecture-review).
This runs automatically after the action plan is finalised,
without prompting the user.
Automatically selects skills based on codebase analysis.
Run specific review domains:
/full-review api → api-review only/full-review architecture → architecture-review only/full-review bugs → bug-review only/full-review tests → test-review onlyRun all applicable review skills:
/full-review all → Execute all detected skillsEach review must:
All review skills use a hub-and-spoke architecture with progressive loading:
pensive:shared: Common workflow, output templates, quality checklistsmodules/: Domain-specific details loaded on demandimbue:proof-of-work, imbue:diff-analysis/modules/risk-assessment-frameworkThis reduces token usage by 50-70% for focused reviews while maintaining full capabilities.
If the auto-detection fails to identify the correct review skills, explicitly specify the mode (e.g., /full-review rust instead of just /full-review). If integration fails, check that TodoWrite logs are accessible and that evidence files were correctly written by the individual skills.