checkpoint

checkpoint is a skill for Claude Code from john-wilmes/claude-agentic-coding-playbook. It costs 52 tokens per session (1,398 once invoked), scanned A, original, MIT.

A procedure for saving the current work and preparing a clean handoff for a later session. It updates memory, commits changes, pushes them, and records the session state.

In plain words
What is it for?
Use it when you say to save your work, wrap up, or finish for the moment, especially at a natural stopping point or before the session becomes too large.
Why use it?
It reduces the chance of losing findings or leaving unfinished work unclear when you stop for now.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

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/john-wilmes/claude-agentic-coding-playbook/checkpoint
Any agent
npx skills add john-wilmes/claude-agentic-coding-playbook --skill checkpoint
Clone the repo
git clone --depth 1 https://github.com/john-wilmes/claude-agentic-coding-playbook

Made for: Claude Code.

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 checkpoint

README.md
[![agentmods](https://agentmods.dev/badge/skills/john-wilmes/claude-agentic-coding-playbook/checkpoint.svg)](https://agentmods.dev/skills/john-wilmes/claude-agentic-coding-playbook/checkpoint)
Your own site
<a href="https://agentmods.dev/skills/john-wilmes/claude-agentic-coding-playbook/checkpoint"><img src="https://agentmods.dev/badge/skills/john-wilmes/claude-agentic-coding-playbook/checkpoint.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,398 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 $0.00052 $0.01398
Opus 5 $0.00026 $0.00699
Sonnet 5 $0.00010 $0.00280
Haiku 4.5 $0.00005 $0.00140

Measured 6d ago against content hash 586caeabfb17, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

checkpoint 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 6d 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.

profiles/combined/skills/checkpoint/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Checkpoint

Save all session state and prepare for a clean handoff to the next session. Delegates heavy work to a subagent to keep parent context lean.

Steps

0. Persist unsaved findings (parent does this — NOT the subagent)

Before delegating, review the conversation for any research findings, evidence, analysis, or detailed information that was discussed but not yet written to a memory topic file. This is the #1 cause of data loss at checkpoint — the subagent cannot see conversation context, so anything not already in a file will be lost.

For each unsaved finding:

  • Write it to an appropriate topic file in the project's memory directory (e.g. project_<topic>.md, feedback_<topic>.md)
  • Include the full detail — do NOT summarize or abbreviate
  • Add a pointer in MEMORY.md if the topic file is new

If all findings are already persisted in topic files, skip this step.

1. Delegate save work to a subagent

Spawn a subagent (model: "sonnet") using the Task tool to perform all the heavy I/O. Pass it the following context:

  • The project's memory file path (e.g. ~/.claude/projects/<project>/memory/MEMORY.md)
  • What was accomplished this session (bullet list of concrete outcomes, not a vague summary)
  • $ARGUMENTS if provided (use as next-steps summary)
  • The current working directory

The subagent prompt should instruct it to:

  1. Update memory: Read the project's MEMORY.md. Update the "Current Work" section with what was done, current state, and next steps. Replace the previous entry (do not accumulate). Add date stamp. Do NOT attempt to summarize research findings here — detailed findings belong in topic files (written in Step 0), not in MEMORY.md. Current Work should only contain status, outcomes, and next steps. Keep MEMORY.md under 80 lines (hard stop: 120) — it is an index of one-line pointers, not a knowledge base. Clear the ## Recovered from previous session section entirely if it exists — its content has been incorporated into Current Work.

Read the full file on GitHub · 120 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. 6d ago First seen · 120 lines · 52 tokens per session scan A 586caeabfb17

Subscribe to this mod's changes

checkpoint is a skill published in the GitHub repository john-wilmes/claude-agentic-coding-playbook (4 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 1,398 once invoked, about $0.0003 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 2026-08-31.