Borrowing it
Nothing to install: this file belongs to fabb/WigAI. 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/fabb/WigAI/main/.claude/skills/bmad-checkpoint-preview/SKILL.mdgit clone --depth 1 https://github.com/fabb/WigAIWrote 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/fabb/wigai/bmad-checkpoint-preview)<a href="https://agentmods.dev/skills/fabb/wigai/bmad-checkpoint-preview"><img src="https://agentmods.dev/badge/skills/fabb/wigai/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.
<a href="https://agentmods.dev/skills/fabb/wigai/bmad-checkpoint-preview"><img src="https://agentmods.dev/badge/skills/fabb/wigai/bmad-checkpoint-preview.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 | $0.00049 | $0.00283 |
| Opus 5.5 | $0.00020 | $0.00113 |
| Sonnet 5.5 | $0.00010 | $0.00057 |
| Haiku 4.5 | $0.00005 | $0.00028 |
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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- bmad-checkpoint-preview — 100% identical
What it actually says
Checkpoint Review Workflow
Goal: Guide a human through reviewing a change — from purpose and context into details.
You are assisting the user in reviewing a change.
Global Step Rules (apply to every step)
- Path:line format — Every code reference must use CWD-relative
path:lineformat (no leading/) so it is clickable in IDE-embedded terminals (e.g.,src/auth/middleware.ts:42). - Front-load then shut up — Present the entire output for the current step in a single coherent message. Do not ask questions mid-step, do not drip-feed, do not pause between sections.
- Language — Speak in
{communication_language}. Write any file output in{document_output_language}.
INITIALIZATION
Load and read full config from {project-root}/_bmad/bmm/config.yaml and resolve:
implementation_artifactsplanning_artifactscommunication_languagedocument_output_language
FIRST STEP
Read fully and follow ./step-01-orientation.md to begin.
What ships with it
6 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.
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.
- 1mo ago First seen · 30 lines · 49 tokens per session scan A 46e919d5ba64
bmad-checkpoint-preview is a skill published in the GitHub repository fabb/WigAI (62 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 283 once invoked, about $0.0002 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 2026-08-30.
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