phasing

phasing is a skill for Claude Code, Codex from WellApp-ai/Well. It costs 13 tokens per session (1,187 once invoked), scanned A, original, MIT.

A planning method that groups development tasks into delivery phases. It orders work using implementation risk, business value, and dependencies between tasks.

In plain words
What is it for?
Use it to rank feature slices, group them into phases, and produce a timeline before implementation begins.
Why use it?
It helps decide what should be built first when tasks have different risks or rely on one another. This makes the delivery timeline easier to organize.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to rank feature slices, group them into phases, and produce a timeline before implementation begins.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wellapp-ai/well/phasing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add WellApp-ai/Well --skill phasing
Clone the repo
git clone --depth 1 https://github.com/WellApp-ai/Well

Made for: Claude Code, Codex.

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 phasing

README.md
[![agentmods](https://agentmods.dev/badge/skills/wellapp-ai/well/phasing/github.svg)](https://agentmods.dev/skills/wellapp-ai/well/phasing)
Your own site
<a href="https://agentmods.dev/skills/wellapp-ai/well/phasing"><img src="https://agentmods.dev/badge/skills/wellapp-ai/well/phasing/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 phasing

Your own site · 80×15
<a href="https://agentmods.dev/skills/wellapp-ai/well/phasing"><img src="https://agentmods.dev/badge/skills/wellapp-ai/well/phasing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,187 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00013 $0.01187
Opus 5.5 $0.00005 $0.00475
Sonnet 5.5 $0.00003 $0.00237
Haiku 4.5 $0.00001 $0.00119

Measured 1mo ago against content hash 654ef156c034, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

phasing 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.

cursor-rules/skills/phasing/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phasing Skill

Group implementation slices into phases based on combined risk and GTM scores, then generate a visual timeline.

When to Use

  • During Ask mode Phase 2 (CONVERGE), after dependency-mapping and gtm-alignment
  • Before transitioning to Plan mode
  • To generate the final delivery timeline

Instructions

Phase 1: Gather Scores

Collect scores from previous skills:

Slice Risk Score GTM Score
[From dependency-mapping] [N] [From gtm-alignment]

Phase 2: Calculate Combined Score

Final Priority Score = Risk - (GTM x 0.5)

Lower score = ships earlier
Slice Risk GTM Final Rank
#2.2 Invite Flow 7 8 3.0 1
#1.1 Switcher 1 4 -1.0 2
#1.2 Members UI 4 3 2.5 3

Phase 3: Group into Phases

Apply grouping rules:

Phase Criteria Typical Contents
Phase 1 P1 + Lowest risk + Serves T1 FE-only components, quick wins
Phase 2 P2 + Dependencies on P1 complete FE+BE integration, non-breaking
Phase 3 P3/P4 + Highest risk Contract changes, data model

Grouping Constraints:

  • Respect dependency order (check DSM matrix from dependency-mapping)
  • Each phase should be independently deployable
  • Each phase should serve at least one complete persona tier
  • Keep phases to 3-5 days when possible

Phase 4: Generate Timeline (ASCII)

Use ASCII format grouped by stack. Show only dependencies with arrows. No dates or effort estimates.

ASCII Timeline Format:

TIMELINE: [Feature Name]
═══════════════════════════════════════════════════════════

FRONTEND
├── [Slice name]
├── [Slice name] ───────────────┐
├── [Slice name] ───────────────┼──┐
└── [Slice name] ───────────────┘  │
                                   │
BACKEND                            │
└── [Slice name] ◄─────────────────┘
         │
         ▼
INFRASTRUCTURE
└── [Slice name]
         │
         ▼
INTEGRATION
├── [Slice name]
└── [Slice name]

═══════════════════════════════════════════════════════════
LEGEND:
├── = parallel (no dependency)
──► = dependency (must complete before)

Read the full file on GitHub · 154 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 · 154 lines · 13 tokens per session scan A 654ef156c034

Subscribe to this mod's changes

phasing is a skill published in the GitHub repository WellApp-ai/Well (345 stars, last pushed 6d ago), licensed MIT. It adds 13 tokens to every session and 1,187 once invoked, about $0.0001 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 2026-08-30.

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