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.
npx agentmods add skills/john-wilmes/claude-agentic-coding-playbook/checkpointnpx skills add john-wilmes/claude-agentic-coding-playbook --skill checkpointgit clone --depth 1 https://github.com/john-wilmes/claude-agentic-coding-playbookWrote 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/john-wilmes/claude-agentic-coding-playbook/checkpoint)<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>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 | $0.00052 | $0.01398 |
| Opus 5 | $0.00026 | $0.00699 |
| Sonnet 5 | $0.00010 | $0.00280 |
| Haiku 4.5 | $0.00005 | $0.00140 |
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.
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.mdif 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)
$ARGUMENTSif provided (use as next-steps summary)- The current working directory
The subagent prompt should instruct it to:
- 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 sessionsection entirely if it exists — its content has been incorporated into Current Work.
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.
- 6d ago First seen · 120 lines · 52 tokens per session scan A 586caeabfb17
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.
Other skills, from other repositories
memorix-git-memory
Use when the task depends on commit history, what changed, when a fix shipped, or linking engineering evidence to reasoning memory.
chinese-commit-conventions
中文 commit 与 changelog 配置参考——Conventional Commits 中文适配、commitlint/husky/commitizen 中文模板、conventional-changelog 中文配置。仅在用户显式 /chinese-commit-conventions 时调用,不要根据上下文自动触发。.
work-unit-commits
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.
save-progress
Save current project task progress to local task state file for cross-session continuity. Use when the user asks to save progress, uses an equivalent localized trigger phrase, the session is interrupted, or the user wants to resume work later. Writes to .claude/project-task-state.json so next session can load it via…
memorix-memory
Use when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task.
memorix
Use when Claude Code needs Memorix shared memory, reasoning, Git Memory, mini-skills, session handoff, orchestration coordination, or integration troubleshooting.