do

do is a skill for Claude Code from zhaixin244-wq/fnw. It costs 32 tokens per session (433 once invoked), scanned A, original, MIT.

A workflow for having coding agents carry out a phased implementation plan, then verify and review each phase.

In plain words
What is it for?
Use it to delegate planned coding tasks, run verification, check for bad patterns, and review code quality between phases.
Why use it?
It adds checkpoints and evidence requirements so work does not move forward while an implementation step is incomplete or unsupported.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

Good fit Use it to delegate planned coding tasks, run verification, check for bad patterns, and review code quality between phases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhaixin244-wq/fnw/do
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 zhaixin244-wq/fnw --skill do
Clone the repo
git clone --depth 1 https://github.com/zhaixin244-wq/fnw

Made for: Claude Code.

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 do

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/do/github.svg)](https://agentmods.dev/skills/zhaixin244-wq/fnw/do)
Your own site
<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/do"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/do/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 do

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/do"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/do.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 433 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 $0.00032 $0.00433
Opus 5 $0.00016 $0.00217
Sonnet 5 $0.00006 $0.00087
Haiku 4.5 $0.00003 $0.00043

Measured 7d ago against content hash 993ea03d417b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

do 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 7d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • do — 100% identical, 3 lines differ
  • do — 100% identical, 0 lines differ
.claude/skills/do/SKILL.md · 46 lines

What it actually says

Do Plan

You are an ORCHESTRATOR. Deploy subagents to execute all work. Do not do the work yourself except to coordinate, route context, and verify that each subagent completed its assigned checklist.

Execution Protocol

Rules

  • Each phase uses fresh subagents where noted (or when context is large/unclear)
  • Assign one clear objective per subagent and require evidence (commands run, outputs, files changed)
  • Do not advance to the next step until the assigned subagent reports completion and the orchestrator confirms it matches the plan

During Each Phase

Deploy an "Implementation" subagent to:

  1. Execute the implementation as specified
  2. COPY patterns from documentation, don't invent
  3. Cite documentation sources in code comments when using unfamiliar APIs
  4. If an API seems missing, STOP and verify — don't assume it exists

After Each Phase

Deploy subagents for each post-phase responsibility:

  1. Run verification checklist — Deploy a "Verification" subagent to prove the phase worked
  2. Anti-pattern check — Deploy an "Anti-pattern" subagent to grep for known bad patterns from the plan
  3. Code quality review — Deploy a "Code Quality" subagent to review changes
  4. Commit only if verified — Deploy a "Commit" subagent only after verification passes; otherwise, do not commit

Between Phases

Deploy a "Branch/Sync" subagent to:

  • Push to working branch after each verified phase
  • Prepare the next phase handoff so the next phase's subagents start fresh but have plan context

Failure Modes to Prevent

  • Don't invent APIs that "should" exist — verify against docs
  • Don't add undocumented parameters — copy exact signatures
  • Don't skip verification — deploy a verification subagent and run the checklist
  • Don't commit before verification passes (or without explicit orchestrator approval)
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. 7d ago First seen · 46 lines · 32 tokens per session scan A 993ea03d417b

Subscribe to this mod's changes

do is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 433 once invoked, about $0.0002 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 2026-09-03.

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