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arn-code-assess

This skill should be used when the user says "arness code assess", "arn-code-assess", "assess codebase", "technical review", "codebase assessment", "find improvements", "what should I improve", "tech debt review", "tech debt audit", "pattern compliance check", "codebase health check", "assess the project", "improvement plan", "review my codebase", "what needs fixing", "code quality check", "audit

27estrelas
Atualizado há 3 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add AppsVortex/arness

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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Cole no README do seu repo

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Ler descrição completa

Arness Assess

Run a comprehensive technical assessment of the codebase against stored patterns, let the user prioritize findings, then orchestrate the full Arness pipeline (spec → plan → execute → test → ship) for multiple improvements in a single session.

This skill is a sequencer and decision-gate handler, like arn-planning. It MUST NOT duplicate sub-skill or agent logic. All pipeline work is done by the invoked skills and agents. This skill handles: scope selection, assessment orchestration, finding prioritization, multi-spec pipeline management, and progress display.

Prerequisites

Check for a ## Arness section in the project's CLAUDE.md. If missing, inform the user: "Arness is not configured for this project yet. Run /arn-assessing to get started — it will set everything up automatically." Do not proceed without it.

Additionally, verify that pattern files exist at the configured code-patterns path. At minimum, these must exist:

  • code-patterns.md
  • testing-patterns.md
  • architecture.md

If any required pattern file is missing, inform the user: "Pattern documentation is incomplete. Run /arn-assessing which will generate pattern docs on first use."

Decision Gates

The skill pauses at exactly 7 gates. Steps marked (auto) flow without stopping.

| Gate | When | Question | Options | |------|------|----------|---------| | G1 | Entry | "What would you like to assess?" | Entire codebase / Specific area | | G2 | After assessment | "Ready to prioritize?" | Prioritize / Investigate further | | G3 | After prioritization | "How should improvements be organized?" | Bundle all / Separate specs / Arness suggests groupings | | G4 | After all plans generated | "Plans ready. Proceed?" | Approve all / Revise specific plan / Remove a spec | | G5 | Before each subsequent spec execution | "Conflict detected" (conditional) | Re-plan / Proceed / Skip | | G6 | After test results | "Tests [pass/fail]. Proceed?" | Ship / Fix and re-test / Abort | | G7 | Final | "Ship it?" | Commit, push & PR / Just commit / Not yet |

Pipeline Overview

Arness Assess: scope → assess → prioritize → spec(s) → plan all → save all → [taskify+execute]×N → test → ship

Workflow

Step 0: Initialize

  1. Read the project's CLAUDE.md and extract the ## Arness section.
  2. Extract configuration fields:
  3. Plans directory — where plans and project folders live
  4. Specs directory — where specs and assessment reports are stored
  5. Code patterns — path to pattern documentation directory
  6. Docs directory — for documentation generation
  7. Git — whether git is configured
  8. GitHub/Platform — for shipping
  9. Load pattern files from the configured code-patterns path:
  10. code-patterns.md (required)
  11. testing-patterns.md (required)
  12. architecture.md (required)
  13. ui-patterns.md (optional — sets has_ui_patterns = true)
  14. security-patterns.md (optional — sets has_security_patterns = true)

Step 1: Detect Assessment State (Resumability)

Check for existing assessment artifacts:

| Artifact | Detected State | |----------|---------------| | ASSESSMENT_*.md in specs-dir + executed plans with reports | Near-complete — resume at test gate | | ASSESSMENT_*.md in specs-dir + project folders with TASKS.md | Mid-execution — resume at taskify+execute | | ASSESSMENT_*.md in specs-dir + PLAN_PREVIEW files | Plans ready — resume at G4 | | ASSESSMENT_*.md in specs-dir + FEATURE specs matching assessment IDs | Specs written — resume at plan all | | ASSESSMENT_*.md in specs-dir only | Assessment done — resume at G2 (prioritize) | | None | Fresh start — begin at G1 |

If artifacts detected, ask: "It looks like you have an in-progress assessment. Resume from [stage], or start fresh?"

Step 2: Gate G1 — Scope Selection

Show progress:

Arness Assess: SCOPE → assess → prioritize → spec(s) → plan → save → execute → test → ship             ^^^^^

Even if the user triggered the skill with arguments (e.g., "assess the auth module"), confirm scope with AskUserQuestion:

"What would you like to assess?"

Options:

  1. Assess entire codebase — Full review against all stored patterns
  2. Assess specific area — Review a particular module, directory, or concern

If specific area: ask the user to describe the area (module name, directory path, or concern like "authentication" or "API layer").

Store the scope for agent invocations. Derive a scope name for the assessment file:

  • Entire codebase → full-codebase
  • Specific area → kebab-case of the area (e.g., auth-module, api-layer)

Step 3: Assessment

Show progress:

Arness Assess: scope → ASSESS → prioritize → spec(s) → plan → save → execute → test → ship                      ^^^^^^

Inform: "Running assessment agents against stored patterns..."

Read the assessment protocol:

Read ${CLAUDE_PLUGIN_ROOT}/skills/arn-code-assess/references/assessment-protocol.md

Agent invocations — launch all applicable agents in parallel:

Always invoke the arn-code-architect agent via the Task tool, passing the model from .arness/agent-models/code.md as the model parameter (see plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md "Dispatch convention" for fallback). Context:

  • The architect assessment prompt template from the protocol
  • Codebase context: full content of code-patterns.md, testing-patterns.md, architecture.md
  • Scope: the scope from G1

If has_ui_patterns is true, also invoke the arn-code-ux-specialist agent via the Task tool, passing the model from .arness/agent-models/code.md as the model parameter (see plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md "Dispatch convention" for fallback). Context:

  • The UX specialist assessment prompt template from the protocol
  • Context: ui-patterns.md, architecture.md, code-patterns.md
  • Scope from G1

If has_security_patterns is true, also invoke the arn-code-security-specialist agent via the Task tool, passing the model from .arness/agent-models/code.md as the model parameter (see plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md "Dispatch convention" for fallback). Context:

  • The security specialist assessment prompt template from the protocol
  • Context: security-patterns.md, architecture.md, code-patterns.md
  • Scope from G1

All applicable agents are invoked in parallel (single message, multiple Agent tool calls).

After all agents return:

Follow the merge, deduplication, ID assignment, and report generation procedures defined in the assessment protocol. Write the assessment report to <specs-dir>/ASSESSMENT_<scope-name>.md.

Present the findings to the user grouped by category with severity indicators.

If no findings: "Assessment found no significant deviations from stored patterns. Your codebase is in good shape!" — exit gracefully.

Step 4: Gate G2 — Prioritize

Show progress:

Arness Assess: scope → assess → PRIORITIZE → spec(s) → plan → save → execute → test → ship                                ^^^^^^^^^^

Ask: "These are the assessment findings. Ready to prioritize, or would you like to investigate any finding further?"

If the user wants to investigate: discuss the specific finding, read relevant files, provide more context. Return to this gate when done.

Present findings as a numbered list (grouped by severity: high first). Ask:

"Select which improvements to implement (comma-separated numbers, 'all', or 'all high'):"

After selection, proceed to G3.

Step 5: Gate G3 — Spec Strategy

Ask with AskUserQuestion:

"How should these improvements be organized into specifications?"

Options:

  1. Bundle all into one spec — Single feature spec covering all selected improvements
  2. Create separate specs — One spec per improvement
  3. Let Arness suggest groupings — Group by affected mo
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