do

do is a skill for Claude Code from SienkLogic/plan-build-run. It costs 14 tokens per session (1,833 once invoked), scanned A, original, MIT.

A router that sends a free-form task to the appropriate Plan-Build-Run workflow.

In plain words
What is it for?
It helps interpret a request, inspect the project's state, and direct the work to the matching project skill.
Why use it?
It reduces the need to know which command handles a particular task, bug, or idea.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Part of the pbr plugin — 45 skills, 71 commands, 18 agents, 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/sienklogic/plan-build-run/do
Any agent
npx skills add SienkLogic/plan-build-run --skill do
Clone the repo
git clone --depth 1 https://github.com/SienkLogic/plan-build-run

Made for: Claude Code.

Or install pbr, the plugin that ships this one along with the rest of its 45 skills, 71 commands, 18 agents, 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 do

README.md
[![agentmods](https://agentmods.dev/badge/skills/sienklogic/plan-build-run/do.svg)](https://agentmods.dev/skills/sienklogic/plan-build-run/do)
Your own site
<a href="https://agentmods.dev/skills/sienklogic/plan-build-run/do"><img src="https://agentmods.dev/badge/skills/sienklogic/plan-build-run/do.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,833 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 5.1 $0.00014 $0.01833
Opus 5 $0.00007 $0.00916
Sonnet 5 $0.00003 $0.00367
Haiku 4.5 $0.00001 $0.00183

Measured 2d ago against content hash 3f3655e73992, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 2d 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.

plugins/pbr/skills/do/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

STOP -- DO NOT READ THIS FILE. You are already reading it. This prompt was injected into your context by Claude Code's plugin system. Using the Read tool on this SKILL.md file wastes ~3,000 tokens. Begin executing Step 1 immediately.

/pbr:do -- Freeform Task Router

You are running the do skill. Your job is to analyze freeform text from the user and route it to the most appropriate PBR skill. You are a dispatcher, not an executor -- you never do the work yourself.

Step 0 -- Immediate Output

Before ANY tool calls, display this banner:

╔══════════════════════════════════════════════════════════════╗
║  PLAN-BUILD-RUN ► DO                                        ║
╚══════════════════════════════════════════════════════════════╝

Then proceed to Step 1.

Step 1 -- Validate Input

If $ARGUMENTS is empty, ask the user what they want to do via AskUserQuestion:

What would you like to do? Describe the task, bug, or idea and I'll route it to the right skill.

Step 2 -- Analyze and Route

Step 2a -- Gather Context

  1. Read .planning/STATE.md to get current_phase, status, phase_slug.
  2. Check if .planning/ROADMAP.md exists (set hasRoadmap).
  3. Build context object: { activePhase: phase_slug, hasRoadmap: boolean }.

Step 2b -- Check Config

  1. Read .planning/config.json if it exists.
  2. Check features.natural_language_routing (default: true if absent).
  3. Check features.adaptive_ceremony (default: true if absent).
  4. Check ceremony_level (default: "auto" if absent).

Step 2c -- Intent Classification

When NL routing is enabled (features.natural_language_routing is true or absent):

Score $ARGUMENTS against these route keyword groups:

Route Keywords Weight
debug bug, error, crash, fix, broken, failing, exception, stacktrace, debug 1.0
explore explore, research, investigate, how does, how do, understand, analyze, compare 1.0
plan-phase plan, architect, design, migrate, refactor across, redesign, system, new 0.9
quick add, create, update, change, rename, remove, write test, implement, feature, refactor 0.85
note remember, note, todo, idea, later, don't forget, remind 1.0
validate-phase validate, coverage gaps, test gaps, missing tests, untested, requirement coverage 1.0
verify-work review, check, verify, quality, looks right 0.9

Read the full file on GitHub · 166 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. 2d ago First seen · 166 lines · 14 tokens per session scan A 3f3655e73992

Subscribe to this mod's changes

do is a skill published in the GitHub repository SienkLogic/plan-build-run (17 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 1,833 once invoked, about $0.0001 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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