dogma: Skill for Claude Code

.github/skills/workplan-scaffold/SKILL.md

workplan-scaffold is a skill for Claude Code from EndogenAI/dogma. It costs 104 tokens per session (2,086 once invoked), scanned A, original, Apache-2.0.

A planning skill that creates a committed workplan document before complex, multi-stage coding sessions.

In plain words
What is it for?
It helps organize sessions with several phases, multiple agent delegations, multiple days of work, or file restructuring.
Why use it?
It keeps the plan in one shared document, so later work and delegated tasks follow the same agreed steps.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents; mentions AGENTS.md.

This is EndogenAI/dogma's own configuration. It tells Claude Code how to work on dogma itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dogma configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run python scripts/scaffold_workplan.py <brief-slug>.

Reuse

Borrowing it

Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/skills/workplan-scaffold/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/EndogenAI/dogma

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,086 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 $0.00104 $0.02086
Opus 5.5 $0.00042 $0.00834
Sonnet 5.5 $0.00021 $0.00417
Haiku 4.5 $0.00010 $0.00209

Measured 2mo ago against content hash ffa0f575a7fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workplan-scaffold 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 2mo 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.

.github/skills/workplan-scaffold/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workplan Scaffold

This skill enacts the Algorithms Before Tokens axiom from MANIFESTO.md: the plan is encoded once as a committed document and referenced by every subsequent delegation — never re-derived from scratch mid-session. Workplan discipline is governed by AGENTS.md § Agent Communication → docs/plans/. When this skill and those documents conflict, the primary documents take precedence.


1. When to Create a Workplan

Create a workplan before executing any phase when the session meets one or more of these criteria:

Criterion Threshold
Number of phases ≥ 3
Number of agent delegations ≥ 2
Session spans multiple calendar days Yes
Any change that renames or restructures committed files Yes

For single-phase, single-agent tasks with low risk, the scratchpad ## Session Start section is sufficient. The workplan is the plan of record; the scratchpad is live inter-agent memory.


2. Scaffold the Workplan

Use the scaffold script to create a correctly named, pre-filled workplan:

uv run python scripts/scaffold_workplan.py <brief-slug>
# Example:
uv run python scripts/scaffold_workplan.py add-research-skill
# Creates: docs/plans/2026-03-07-add-research-skill.md

Naming convention: docs/plans/YYYY-MM-DD-<brief-slug>.md — date-first for chronological sorting.

If the file already exists, the script exits with an error rather than overwriting. Use the existing file.

The canonical template is docs/plans/2026-03-06-formalize-workflows.md.


3. Required Workplan Structure

Every committed workplan must include the following sections:

# Workplan: <Title>

**Branch**: `<branch>`
**Date**: YYYY-MM-DD
**Orchestrator**: <Agent Name>

---

## Objective

<!-- One paragraph: what this session accomplishes and why -->

---

## Phase Plan

### Phase 1 — <Name> ⬜
**Agent**: <Agent Name>
**Deliverables**: <list>
**Depends on**: —
**Gate**: <acceptance test for this phase>
**Status**: ⬜ pending

### Phase 2 — <Name> ⬜
...

---

Read the full file on GitHub · 214 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. 2mo ago First seen · 214 lines · 104 tokens per session scan A ffa0f575a7fc

Subscribe to this mod's changes

workplan-scaffold is a skill published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 104 tokens to every session and 2,086 once invoked, about $0.0004 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 2026-08-31.

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