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.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/skills/workplan-scaffold/SKILL.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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.
[](https://agentmods.dev/skills/endogenai/dogma/workplan-scaffold)<a href="https://agentmods.dev/skills/endogenai/dogma/workplan-scaffold"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/workplan-scaffold/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.
<a href="https://agentmods.dev/skills/endogenai/dogma/workplan-scaffold"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/workplan-scaffold.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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> ⬜
...
---
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.
- 2mo ago First seen · 214 lines · 104 tokens per session scan A ffa0f575a7fc
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.
workplan-scaffold compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| workplan-scaffoldEndogenAI/dogma | Skill | 2 | 2mo ago | Apache-2.0 | A | 104 | Claude Code |
| custom-brand-designKbWen/agentic-os | Skill | 227 | 4d ago | MIT | A | 23 | Claude Code, Codex |
| air-blackbox-sales-agentairblackbox/airblackbox | Skill | 25 | 4d ago | Apache-2.0 | A | 248 | Claude Code, Codex |
| interpret-resultsairblackbox/airblackbox | Skill | 25 | 4d ago | Apache-2.0 | A | 49 | Claude Code |
| nio-external-scorecore0-io/nio | Skill | 20 | 13d ago | Apache-2.0 | A | 97 | Claude Code |
| nio-scancore0-io/nio | Skill | 20 | 13d ago | Apache-2.0 | A | 81 | Claude Code |
| constitutional-aisynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 58 | Claude Code, Codex |