design-pipeline: Skill for Claude Code

.agents/skills/bmad-checkpoint-preview/SKILL.md

bmad-checkpoint-preview is a skill for Claude Code, Codex from 2233admin/design-pipeline. It costs 49 tokens per session (719 once invoked), scanned A, a copy of bmad-checkpoint-preview, MIT.

A guided review workflow in which a person and an agent examine a proposed code change together, from its purpose through its details and tests.

In plain words
What is it for?
Use it to walk through a change, understand its impact, and check whether it behaves as intended before accepting it.
Why use it?
It helps focus human attention on the parts of a change that matter most instead of requiring an unstructured review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is 2233admin/design-pipeline's own configuration. It tells Claude Code and Codex how to work on design-pipeline 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 design-pipeline configures →

Reuse

Borrowing it

Nothing to install: this file belongs to 2233admin/design-pipeline. 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/2233admin/design-pipeline/main/.agents/skills/bmad-checkpoint-preview/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/2233admin/design-pipeline

Made for: Claude Code, Codex.

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 bmad-checkpoint-preview

README.md
[![agentmods](https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-checkpoint-preview/github.svg)](https://agentmods.dev/skills/2233admin/design-pipeline/bmad-checkpoint-preview)
Your own site
<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-checkpoint-preview"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-checkpoint-preview/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 bmad-checkpoint-preview

Your own site · 80×15
<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-checkpoint-preview"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-checkpoint-preview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 719 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 95% 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 $0.00049 $0.00719
Opus 5 $0.00024 $0.00360
Sonnet 5 $0.00010 $0.00144
Haiku 4.5 $0.00005 $0.00072

Measured 9d ago against content hash fbc932defc41, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

bmad-checkpoint-preview 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 9d 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

95% identical to bmad-checkpoint-preview — 4 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/bmad-checkpoint-preview/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Checkpoint Review Workflow

Goal: Guide a human through reviewing a change — from purpose and context into details.

Your Role: You are assisting the user in reviewing a change.

Conventions

  • Bare paths (e.g. step-01-orientation.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml — defaults
  2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
  3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

  • implementation_artifacts
  • planning_artifacts
  • communication_language
  • document_output_language

Step 5: Greet the User

Greet the user, speaking in {communication_language}.

Step 6: Execute Append Steps

Execute each entry in {workflow.activation_steps_append} in order.

Read the full file on GitHub · 69 lines

Files

What ships with it

7 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. 9d ago First seen · 69 lines · 49 tokens per session scan A fbc932defc41

Subscribe to this mod's changes

bmad-checkpoint-preview is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 719 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to bmad-checkpoint-preview, differing in 4 lines, and is treated as a copy.

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