ss-tools/.kilocode/workflows/speckit.analyze.md

description

description
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Goal

Identify inconsistencies, duplications, ambiguities, underspecified items, and decision-memory drift across the core artifacts (spec.md, plan.md, tasks.md, and ADR sources) before implementation. This command MUST run only after /speckit.tasks has successfully produced a complete tasks.md.

Operating Constraints

STRICTLY READ-ONLY: Do not modify any files. Output a structured analysis report. Offer an optional remediation plan (user must explicitly approve before any follow-up editing commands would be invoked manually).

Constitution Authority: The project constitution (.ai/standards/constitution.md) is non-negotiable within this analysis scope. Constitution conflicts are automatically CRITICAL and require adjustment of the spec, plan, or tasks—not dilution, reinterpretation, or silent ignoring of the principle. If a principle itself needs to change, that must occur in a separate, explicit constitution update outside /speckit.analyze.

Execution Steps

1. Initialize Analysis Context

Run .specify/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasks once from repo root and parse JSON for FEATURE_DIR and AVAILABLE_DOCS. Derive absolute paths:

• SPEC = FEATURE_DIR/spec.md
• PLAN = FEATURE_DIR/plan.md
• TASKS = FEATURE_DIR/tasks.md
• ADR = docs/architecture.md and/or feature-local decision files when present

Abort with an error message if any required file is missing (instruct the user to run missing prerequisite command). For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").

2. Load Artifacts (Progressive Disclosure)

Load only the minimal necessary context from each artifact:

From spec.md:

• Overview/Context
• Functional Requirements
• Non-Functional Requirements
• User Stories
• Edge Cases (if present)

From plan.md:

• Architecture/stack choices
• Data Model references
• Phases
• Technical constraints
• ADR references or emitted decisions

From tasks.md:

• Task IDs
• Descriptions
• Phase grouping
• Parallel markers [P]
• Referenced file paths
• Guardrail summaries derived from @RATIONALE / @REJECTED

From ADR sources:

• [DEF:id:ADR] nodes
• @RATIONALE
• @REJECTED
• @RELATION

From constitution:

• Load .ai/standards/constitution.md for principle validation
• Load .ai/standards/semantics.md for technical standard validation

3. Build Semantic Models

Create internal representations (do not include raw artifacts in output):

• Requirements inventory: Each functional + non-functional requirement with a stable key (derive slug based on imperative phrase; e.g., "User can upload file" → user-can-upload-file)
• User story/action inventory: Discrete user actions with acceptance criteria
• Task coverage mapping: Map each task to one or more requirements or stories (inference by keyword / explicit reference patterns like IDs or key phrases)
• Constitution rule set: Extract principle names and MUST/SHOULD normative statements
• Decision-memory inventory: ADR ids, accepted paths, rejected paths, and the tasks/contracts expected to inherit them

4. Detection Passes (Token-Efficient Analysis)

Focus on high-signal findings. Limit to 50 findings total; aggregate remainder in overflow summary.

A. Duplication Detection

• Identify near-duplicate requirements
• Mark lower-quality phrasing for consolidation

B. Ambiguity Detection

• Flag vague adjectives (fast, scalable, secure, intuitive, robust) lacking measurable criteria
• Flag unresolved placeholders (TODO, TKTK, ???, <placeholder>, etc.)

C. Underspecification

• Requirements with verbs but missing object or measurable outcome
• User stories missing acceptance criteria alignment
• Tasks referencing files or components not defined in spec/plan

D. Constitution Alignment

• Any requirement or plan element conflicting with a MUST principle
• Missing mandated sections or quality gates from constitution

E. Coverage Gaps

• Requirements with zero associated tasks
• Tasks with no mapped requirement/story
• Non-functional requirements not reflected in tasks (e.g., performance, security)

F. Inconsistency

• Terminology drift (same concept named differently across files)
• Data entities referenced in plan but absent in spec (or vice versa)
• Task ordering contradictions (e.g., integration tasks before foundational setup tasks without dependency note)
• Conflicting requirements (e.g., one requires Next.js while other specifies Vue)

G. Decision-Memory Drift

• ADR exists in planning but has no downstream task guardrail
• Task carries a guardrail with no upstream ADR or plan rationale
• Task text accidentally schedules an ADR-rejected path
• Missing preventive @RATIONALE / @REJECTED summaries for known traps
• Rejected-path notes that contradict later plan or task language without explicit decision revision

5. Severity Assignment

Use this heuristic to prioritize findings:

• CRITICAL: Violates constitution MUST, missing core spec artifact, missing blocking ADR, rejected path scheduled as work, or requirement with zero coverage that blocks baseline functionality
• HIGH: Duplicate or conflicting requirement, ambiguous security/performance attribute, untestable acceptance criterion, ADR guardrail drift
• MEDIUM: Terminology drift, missing non-functional task coverage, underspecified edge case, incomplete decision-memory propagation
• LOW: Style/wording improvements, minor redundancy not affecting execution order

6. Produce Compact Analysis Report

Output a Markdown report (no file writes) with the following structure:

Specification Analysis Report

ID	Category	Severity	Location(s)	Summary	Recommendation
A1	Duplication	HIGH	spec.md:L120-134	Two similar requirements ...	Merge phrasing; keep clearer version

(Add one row per finding; generate stable IDs prefixed by category initial.)

Coverage Summary Table:

Requirement Key	Has Task?	Task IDs	Notes

Decision Memory Summary Table:

ADR / Guardrail	Present in Plan	Propagated to Tasks	Rejected Path Protected	Notes

Constitution Alignment Issues: (if any)

Unmapped Tasks: (if any)

Metrics:

• Total Requirements
• Total Tasks
• Coverage % (requirements with >=1 task)
• Ambiguity Count
• Duplication Count
• Critical Issues Count
• ADR Count
• Guardrail Drift Count

7. Provide Next Actions

At end of report, output a concise Next Actions block:

• If CRITICAL issues exist: Recommend resolving before /speckit.implement
• If only LOW/MEDIUM: User may proceed, but provide improvement suggestions
• Provide explicit command suggestions: e.g., "Run /speckit.specify with refinement", "Run /speckit.plan to adjust architecture", "Manually edit tasks.md to add coverage for 'performance-metrics'"

8. Offer Remediation

Ask the user: "Would you like me to suggest concrete remediation edits for the top N issues?" (Do NOT apply them automatically.)

Operating Principles

Context Efficiency

• Minimal high-signal tokens: Focus on actionable findings, not exhaustive documentation
• Progressive disclosure: Load artifacts incrementally; don't dump all content into analysis
• Token-efficient output: Limit findings table to 50 rows; summarize overflow
• Deterministic results: Rerunning without changes should produce consistent IDs and counts

Analysis Guidelines

• NEVER modify files (this is read-only analysis)
• NEVER hallucinate missing sections (if absent, report them accurately)
• Prioritize constitution violations (these are always CRITICAL)
• Use examples over exhaustive rules (cite specific instances, not generic patterns)
• Report zero issues gracefully (emit success report with coverage statistics)
• Treat missing ADR propagation as a real defect, not a documentation nit

Context

$ARGUMENTS