workflow

workflow is a skill for Claude Code, Codex from AbdurRafay2004/handoff. It costs 87 tokens per session (1,256 once invoked), scanned A, original, MIT.

A workflow for development work with six phases: Brief, Plan, Build, Verify, Ship, and Learn. It also assigns risk levels so small changes get less process than work involving money, accounts, user data, or database changes.

In plain words
What is it for?
Use it at the start of development tasks to choose a risk level, plan the work, build it, test it, review it, and prepare evidence for release.
Why use it?
It gives developers a consistent way to decide when planning, testing, review, security checks, and deployment evidence are needed. This reduces both skipped safeguards and unnecessary process.

Skill for Claude CodeCodex

Part of the handoff plugin — 15 skills, 3 hooks shipped together

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.

agentmods
npx agentmods add skills/abdurrafay2004/handoff/workflow
Any agent
npx skills add AbdurRafay2004/handoff --skill workflow
Clone the repo
git clone --depth 1 https://github.com/AbdurRafay2004/handoff

Made for: Claude Code, Codex.

Or install handoff, the plugin that ships this one along with the rest of its 15 skills, 3 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 workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/abdurrafay2004/handoff/workflow.svg)](https://agentmods.dev/skills/abdurrafay2004/handoff/workflow)
Your own site
<a href="https://agentmods.dev/skills/abdurrafay2004/handoff/workflow"><img src="https://agentmods.dev/badge/skills/abdurrafay2004/handoff/workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,256 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00087 $0.01256
Opus 5 $0.00044 $0.00628
Sonnet 5 $0.00017 $0.00251
Haiku 4.5 $0.00009 $0.00126

Measured 3d ago against content hash f149cd6e87c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

workflow 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 3d 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/workflow/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow

One pipeline for every project. The user is the product manager and architect: they decide what and why, and judge results as evidence — working demos, test output, preview URLs — never raw code. The agent is the senior engineer and devops: it proposes, builds, verifies, ships, and always brings evidence to the gate.

The tier decides the process — not the skill, not habit, not thoroughness for its own sake. When a heavier process is invoked on a lighter task, say so and offer the lighter path before proceeding.

Risk tiers

Tier What it covers Process
T1 — trivial copy, styling, config tweaks, small isolated edits No plan. Edit inline → typecheck + lint → done.
T2 — standard typical features, refactors within one area Short plan (a few bullets, in-chat OK) → build inline → tests on the affected path → one review pass → evidence.
T3 — risky money, auth, user data, migrations, deletes, cross-cutting changes Written plan the user approves → TDD → security review → end-to-end verify → evidence at every gate.

Declare the tier when starting a task. If the tier is wrong, the user corrects it in one line ("this is T1") and that ruling stands.

The six phases

  1. Brief — user states what and why in product terms. Interrogate it briefly (skill: brief) — surface the 2–3 decisions that will hurt later, then stop. Gate: user says "yes, that's what I want."
  2. Plan — propose the approach and declare the tier (skill: plan, T2/T3 only). Trade-offs explained in plain language, as to a PM. Gate (T2/T3): user approves the plan.
  3. Build — write the code. Inline by default; delegate to subagents only per the delegate skill's triggers (context pressure or true parallelism), never as ceremony. T3 builds test-first (skill: tdd). Run single test files often; the full suite once at the end. Bugs found along the way go through debug, not guess-and-patch — and if 3+ fixes fail, escalate to architecture.
  4. Verify — non-negotiable, scaled by tier. Mechanical first: typecheck, lint, tests, build. Then T2+: a review pass (built-in /code-review); run the app and exercise the change (built-in verify/run skills); optionally simplify once green. T3: security gate (built-in /security-review for the diff, the security skill for a full audit) and end-to-end verification. Before claiming done: skill verify-done — evidence before assertions, always, including the Spec check (does the diff match the brief?). Gate: user judges the evidence (screenshots, test summary, preview URL) — the pipeline judged the code.
  5. Ship — skill: ship. Branch → PR → merge → deploy → smoke-check the live result, tier-scaled up to a full launch runbook. Never git add -A; stage only what you changed. Every commit revertible.
  6. Learn — skill: learn (T3 and incidents; T1/T2 need only a CHANGELOG line). Update durable state (STATUS/CHANGELOG via handoff), record learnings, plus one line: what would have prevented this?

Read the full file on GitHub · 87 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. 3d ago First seen · 87 lines · 87 tokens per session scan A f149cd6e87c1

Subscribe to this mod's changes

workflow is a skill published in the GitHub repository AbdurRafay2004/handoff (4 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,256 once invoked, about $0.0004 per session on Opus 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

checkpoint

Write the current working state (task, decisions, files touched, open problems, next steps) to .amber/STATE.md so it survives compaction and session restarts. Use when the user asks to checkpoint/save state, before risky long operations, when context feels heavy, or before ending a work session.

yanfeid/claude-amber · 62 tokens

focus

Declare a focus contract for the current task to keep context lean — scopes which files/dirs are in play, bans out-of-scope exploration, and routes broad searches to subagents. Use when starting a task, when the user says "focus on X", or when the session is drifting across unrelated parts of the codebase.

yanfeid/claude-amber · 66 tokens

react

React UI patterns for apps/ui—Effects vs rendering, TanStack Query for all server data, useMemo, keys, event handlers. Start here when creating or editing React components.

ctxpipe-ai/ctxpipe · 38 tokens

diet

Audit what is eating the context window in this project (CLAUDE.md size, MCP servers, rules that should be skills) and produce a concrete slimming plan with estimated token savings. Use when the user complains about context filling up fast, frequent compaction, or asks to optimize/reduce context usage.

yanfeid/claude-amber · 61 tokens

resume

Reload saved working state from .amber/ (STATE.md, FOCUS.md, checkpoint.md) and continue the previous task. Use when the user says resume/continue where we left off, or at the start of a session in a project that has an .amber directory.

yanfeid/claude-amber · 55 tokens

project-memory

Use when resuming work after chat loss, switching AI models, migrating context to a new agent or workspace, or maintaining long-running research and project memory across sessions. Manages roadmap, decision log, hypotheses, research evidence, and recovery checkpoints as separate canonical files so no single transcript…

tasuku-9/project-memory-skill · 179 tokens