speckit-analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
By dceoy · 655 installs
npx skills add dceoy/speckit-agent-skills --skill speckit-analyze
Source repository · Upstream listing
User Input
You MUST consider the user input before proceeding (if not empty).
Pre Execution Checks
Check for extension hooks (before analysis) :
Check if .specify/extensions.yml exists in the project root.
If it exists, read it and look for entries under the hooks.before analyze key
If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
Filter out hooks where enabled is explicitly false . Treat hooks without an enabled field as enabled by default.
For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
If the hook has no condition field, or it is null/empty, treat the hook as executable
If the hook defines a non empty condition , skip the hook and leave condition evaluation to the HookExecutor implementation
When constructing command invocations from hook command names, replace dots ( . ) with hyphens ( ). For example, speckit.git.commit → /speckit git commit .
For each executable hook, output the following based on its optional flag:
Optional hook ( optional: true ):
Mandatory hook ( optional: false ):
After emitting the block above you MUST actually invoke the hook and wait for it to finish before continuing. Run it the same way you would run the command yourself in this agent/session (the invocation may differ from the literal {command} id shown above, e.g. a skills mode agent runs it as /skill:speckit ... or $speckit ... ). Emitting the block alone does not run the hook.
If no hooks are registered or .specify/extensions.yml does not exist, skip silently
Goal
Identify inconsistencies, duplications, ambiguities, and underspecified items across the three core artifacts ( spec.md , plan.md , tasks.md ) 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 ( .specify/memory/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
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
Success Criteria (measurable outcomes — e.g., performance, security, availability, user success, business impact)
User Stories
Edge Cases (if present)
From plan.md:
Architecture/stack choices
Data Model references
Phases
Technical constraints
From tasks.md:
Task IDs
Descriptions
Phase grouping
Parallel markers [P]
Referenced file paths
From constitution:
Load .specify/memory/constitution.md for principle validation
3. Build Semantic Models
Create internal representations (do not include raw artifacts in output):
Requirements inventory : For each Functional Requirement (FR ) and Success Criterion (SC ), record a stable key. Use the explicit FR /SC identifier as the primary key when present, and optionally also derive an imperative phrase slug for readability (e.g., "User can upload file" → user can upload file ). Include only Success Criteria items that require buildable work (e.g., load testing infrastructure, security audit tooling), and exclude post launch outcome metrics and business KPIs (e.g., "Reduce support tickets by 50%").
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
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
Success Criteria requiring buildable work (performance, security, availability) not reflected in tasks
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)
5. Severity Assignment
Use this heuristic to prioritize findings:
CRITICAL : Violates constitution MUST, missing core spec artifact, or requirement with zero coverage that blocks baseline functionality
HIGH : Duplicate or conflicting requirement, ambiguous security/performance attribute, untestable acceptance criterion
MEDIUM : Terminology drift, missing non functional task coverage, underspecified edge case
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
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
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.)
9. Check for extension hooks
After reporting, check if .specify/extensions.yml exists in the project root.
If it exists, read it and look for entries under the hooks.after analyze key
If the YAML cannot be parsed or is invalid, skip hook checking silently and continue normally
Filter out hooks where enabled is explicitly false . Treat hooks without an enabled field as enabled by default.
For each remaining hook, do not attempt to interpret or evaluate hook condition expressions:
If the hook has no condition field, or it is null/empty, treat the hook as executable
If the hook defines a non empty condition , skip the hook and leave condition evaluation to the HookExecutor implementation
When constructing command invocations from hook command names, replace dots ( . ) with hyphens ( ). For example, speckit.git.commit → /speckit git commit .
For each executable hook, output the following based on its optional flag:
Optional hook ( optional: true ):
Mandatory hook ( optional: false ):
After emitting the block above you MUST actually invoke the hook and wait for it to finish before continuing. Run it the same way you would run the command yourself in this agent/session (the invocation may differ from the literal {command} id shown above, e.g. a skills mode agent runs it as /skill:speckit ... or $speckit ... ). Emitting the block alone does not run the hook.
If no hooks are registered or .specify/extensions.yml does not exist, skip silently
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)
Context
$ARGUMENTS