analyze

analyze is a skill for Claude Code from lantisprime/claude-sdlc. It costs 111 tokens per session (999 once invoked), scanned A, original, MIT.

A requirements-writing phase that turns a planned task into structured, testable requirements with stable IDs such as REQ-001. It also checks whether the task affects a user interface and requires UX designs and brand guidelines when needed.

In plain words
What is it for?
Use it after the planning phase to create or update requirements, identify frontend involvement, and connect requirements to UX artifacts and later test cases.
Why use it?
It prevents requirements from drifting beyond the approved scope and makes each requirement traceable to later tests. The frontend check catches missing design guidance before implementation begins.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is | bash skills/_shared/next-hint.sh.

Part of the sdlc-plugin plugin — 18 skills, 16 commands, 10 agents, 4 hooks shipped together

Good fit Use it after the planning phase to create or update requirements, identify frontend involvement, and connect requirements to UX artifacts and later test cases.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/lantisprime/claude-sdlc
agentmods
npx agentmods add skills/lantisprime/claude-sdlc/analyze

Made for: Claude Code.

Or install sdlc-plugin, the plugin that ships this one along with the rest of its 18 skills, 16 commands, 10 agents, 4 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyze

README.md
[![agentmods](https://agentmods.dev/badge/skills/lantisprime/claude-sdlc/analyze/github.svg)](https://agentmods.dev/skills/lantisprime/claude-sdlc/analyze)
Your own site
<a href="https://agentmods.dev/skills/lantisprime/claude-sdlc/analyze"><img src="https://agentmods.dev/badge/skills/lantisprime/claude-sdlc/analyze/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyze

Your own site · 80×15
<a href="https://agentmods.dev/skills/lantisprime/claude-sdlc/analyze"><img src="https://agentmods.dev/badge/skills/lantisprime/claude-sdlc/analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 999 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.00999
Opus 5.5 $0.00044 $0.00400
Sonnet 5.5 $0.00022 $0.00200
Haiku 4.5 $0.00011 $0.00100

Measured 1mo ago against content hash 2eb48cfbee63, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyze scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/analyze/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyze (Phase 2)

Turn a task into structured, testable requirements.

Prerequisite

The plan gate must exist: .claude/sdlc/gates/plan-<task-slug>.md. If it does not, tell the human to run /plan first.

Step 1 — Detect frontend involvement

Before writing requirements, determine whether the task touches a user interface. Check:

  • The plan's in-scope files for UI frameworks (React, Vue, Angular, HTML templates, mobile views)
  • Keywords in the plan: "screen", "page", "form", "button", "UI", "UX", "design"

If yes, and no UX artifact exists under .claude/sdlc/architecture/ux/:

  • Halt. Ask the human for UX designs (Figma link, wireframes, mockups) and brand guidelines (colors, typography, spacing tokens, component library).
  • Do not proceed to write requirements until a UX artifact is linked or written at .claude/sdlc/architecture/ux/<task-slug>.md.

This is a hard rule. Frontend without UX specs produces UI debt.

Step 2 — Write requirements

Write to .claude/sdlc/requirements/<task-slug>.md using templates/requirements.md. Each requirement has:

  • Stable ID: REQ-<n> — never renumbered once published
  • Title: short imperative
  • Description: what the system must do
  • Acceptance criteria: testable, unambiguous (Given/When/Then works)
  • Priority: must / should / could
  • Source: ticket, CR, stakeholder, or project scope section
  • Dependencies: other REQ IDs or external systems

Stable IDs matter: Design references them, Build validates against them, Test maps cases to them, Deploy records them, Docs traces them.

Step 3 — Contract / scope coverage check

For each requirement, confirm it maps to a section of .claude/sdlc/scope.md (or the relevant contract/SOW artifact). Any unmapped requirement is a scope question — surface it, don't hide it. The human decides whether to expand scope or drop the requirement.

Produce a coverage table in the requirements file:

REQ ID Scope section Status
REQ-001 2.1 Checkout ✓ mapped
REQ-002 — ? unmapped

Read the full file on GitHub · 86 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 86 lines · 111 tokens per session scan A 2eb48cfbee63

Subscribe to this mod's changes

analyze is a skill published in the GitHub repository lantisprime/claude-sdlc (3 stars, last pushed 5mo ago), licensed MIT. It adds 111 tokens to every session and 999 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

handoff

Write a short handoff note for the next chat or a teammate, with what is done, what is open, what comes next and what was rejected and why. Saves it to project memory so the next chat sees it at the start, and prints it so it can be pasted into a message or a pull request. Use when the user ends a piece of work…

Avijit07x/claude-db · 87 tokens

great_cto

Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.

avelikiy/great_cto · 32 tokens

opportunity-solution-tree

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to customer opportunities, possible solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when the team is unclear what to build next, when multiple opportunities compete, or before writing a…

avelikiy/great_cto · 71 tokens

done-blocked

Reusable reporting contract for any agent that hands work back to the pipeline. Forces ONE of two terminal statuses (DONE or BLOCKED) with a specific evidence shape. Stops vague "probably finished" and "kind of stuck" verdicts.

avelikiy/great_cto · 51 tokens

pm-planning

Decomposition methodology for pm agent — turns an approved ARCH document into a Beads task list with explicit dependencies, time-boxes, and acceptance criteria. The pipeline can only orchestrate work it can see; this skill defines what "seeable work" looks like.

avelikiy/great_cto · 57 tokens

goga-task-by-specifying

Interactive task formulation from a raw request.

qarium/goga · 14 tokens