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deepworkplan

deepworkplan is a skill for Claude Code from DailybotHQ/deepworkplan-skill. It costs 73 tokens per session (3,105 once invoked), scanned A, a copy of visual-excellence, MIT.

A router and methodology for preparing repositories for coding agents and managing multi-step work plans. It covers repository onboarding, planning, execution, refinement, resuming, status checks, and verification.

In plain words
What is it for?
Use it when making a repository AI-ready or when creating, running, refining, resuming, checking, or verifying a structured work plan.
Why use it?
It provides shared project context, guardrails, and durable plan files so agents can handle longer tasks consistently across sessions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; installed under .agents/ (shared by several agents); mentions AGENTS.md.

not rated 23repo +2 changed 3d ago A scan 73 tokens copy · 86% MIT

Good fit Use it when making a repository AI-ready or when creating, running, refining, resuming, checking, or verifying a structured work plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dailybothq/deepworkplan-skill/deepworkplan
View source ↗ DailybotHQ/deepworkplan-skill deepworkplan.com
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 DailybotHQ/deepworkplan-skill --skill deepworkplan
Clone the repo
git clone --depth 1 https://github.com/DailybotHQ/deepworkplan-skill

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 deepworkplan

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/dailybothq/deepworkplan-skill/deepworkplan"><img src="https://agentmods.dev/badge/skills/dailybothq/deepworkplan-skill/deepworkplan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,105 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 86% copy Near-identical to another mod 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 $0.00073 $0.03105
Opus 5.5 $0.00029 $0.01242
Sonnet 5.5 $0.00015 $0.00621
Haiku 4.5 $0.00007 $0.00311

Measured 3d ago against content hash 91d5fab35ac3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepworkplan 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.

Origin

This is a copy

86% identical to visual-excellence — 273 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/deepworkplan/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeepWorkPlan — Methodology Skill (Router)

Models matter; context matters more. The DeepWorkPlan skill turns any repository into a structured environment — context, guardrails, and a durable plan — where any coding agent executes reliably on short or long work. It makes the repository "AI-first" — AGENTS.md + docs/ + per-module docs + .agents/ (with the .claude → .agents and .cursor → .agents symlinks) — and runs structured Deep Work Plans: Lite plans for bounded work and Full task-file plans for longer work; an AI agent creates, refines, executes task-by-task, and resumes. All plan output lands in a gitignored .dwp/ directory at the repo root (.dwp/plans/).

Source of truth: https://deepworkplan.com. License: MIT.

Start here (first run)

This skill is a self-sufficient entry point: whether a developer arrives from https://deepworkplan.com/init.md or simply installs this skill, the setup plan is the same — and it lives here, so no network is required.

If the repository is not yet AI-first — there is no root AGENTS.md and no .agents/ directory — the recommended first action is to onboard it, even if the developer's request was vague ("set this up", "make this repo AI-first", or a plain install). Before routing anywhere else:

  1. Read the standard locally. Read spec/ (v5 base and v6 extensions) and shared/adaptation.md. The overriding rule is REASON, do not copy-paste: this skill is the reusable engine; what you produce must be adapted to this repository, never templated.
  2. Run onboarding. Read onboard/SKILL.md and execute it. It is non-destructive: detect existing AGENTS.md, docs/, .agents/, or CLAUDE.md, reconcile rather than overwrite, and ask the developer before replacing anything. The result: AGENTS.md + CLAUDE.md symlink, a reasoned docs/ tree, per-module docs, a .agents/ kit, and a gitignored .dwp/ — the repository becomes the agent harness.
  3. Verify conformance. Read verify/SKILL.md and run it to confirm, objectively, that the repository now meets the standard (AGENTS.md with real commands, the .agents/ catalog, the gitignored .dwp/, and so on).
  4. Then plan and execute. With the harness in place, create and execute Deep Work Plans (below) — long-horizon, gated, resumable work an agent can run autonomously for hours.

Read the full file on GitHub · 206 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed 91d5fab35ac3
  2. 4d ago Changed 850a91d2c017
  3. 5d ago Changed · +1 lines 04b7a818bb0d
  4. 6d ago Changed 414cce8b0cc2
  5. 7d ago Changed · +1 lines 40317b31981c
  6. 9d ago Changed bf022fd3546b
  7. 11d ago Changed 2af141fb7bed
  8. 15d ago Changed db16f3b89e3e
  9. 18d ago Changed · +5 lines bd4dae0dd3a7
  10. 29d ago First seen · 199 lines · 73 tokens per session scan A 7641a391d87d

Subscribe to this mod's changes

deepworkplan is a skill published in the GitHub repository DailybotHQ/deepworkplan-skill (23 stars, last pushed 3d ago), licensed MIT. It adds 73 tokens to every session and 3,105 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to visual-excellence, differing in 273 lines, and is treated as a copy.

Building agentsClaude CodePlanningagent-skillsai-agentsdeepworkplandeveloper-toolsspec-driven-development
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