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Speckit analyze

Skill ldilov/harness-forge/skills/speckit-analyze

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

Install
npx -y skills add ldilov/harness-forge --skill speckit-analyze

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

7.2 KB, ~1.5k tokens by cl100k_base, as published. Nobody here has run it

User Input

$ARGUMENTS

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

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/powershell/check-prerequisites.ps1 -Json -RequireTasks -IncludeTasks 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
  • Non-Functional Requirements
  • 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: 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

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)

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

IDCategorySeverityLocation(s)SummaryRecommendation
A1DuplicationHIGHspec.md:L120-134Two similar requirements ...Merge phrasing; keep clearer version

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

Coverage Summary Table:

Requirement KeyHas Task?Task IDsNotes

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.)

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most plan spec skills give in ~1.5k tokens

Counted across 1,099 of the 1,860 authors here whose files we hold, read 2026-08-07

  • Ask one question at a timein 51 of 1099
  • Break plans into vertical slicesin 29 of 1099, across 11 files
  • Publish issues in dependency orderin 27 of 1099, across 9 files
  • Iterate until user approves the breakdownin 25 of 1099, across 7 files
  • Explore the repository to understand the codebase statein 24 of 1099, across 7 files
  • Use domain glossary vocabularyin 23 of 1099, across 5 files
  • Apply correct triage labels to published issuesin 23 of 1099, across 5 files
  • Prefer AFK slices over HITLin 22 of 1099, across 7 files
  • Write a specification before writing any codein 22 of 1099, across 14 files
  • Write failing tests before implementation codein 22 of 1099, across 20 files
  • Ask clarifying questions until requirements are concretein 21 of 1099, across 13 files
  • Respect existing architecture decision recordsin 20 of 1099, across 5 files

Said here and by no other author read

  • run only after task generation is complete
  • prioritize constitution violations as critical

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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