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.
git clone --depth 1 https://github.com/Jkudjo/oh-my-cursorWrote 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/rules/jkudjo/oh-my-cursor/checkpoint)<a href="https://agentmods.dev/rules/jkudjo/oh-my-cursor/checkpoint"><img src="https://agentmods.dev/badge/rules/jkudjo/oh-my-cursor/checkpoint/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/rules/jkudjo/oh-my-cursor/checkpoint"><img src="https://agentmods.dev/badge/rules/jkudjo/oh-my-cursor/checkpoint.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 | $0.00013 | $0.00224 |
| Opus 5.5 | $0.00005 | $0.00090 |
| Sonnet 5.5 | $0.00003 | $0.00045 |
| Haiku 4.5 | $0.00001 | $0.00022 |
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 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.
What it actually says
@checkpoint
Trigger: At the end of a working session, or when you want to save progress mid-session.
Protocol
- Summarize what was accomplished in this session (specific, not vague).
- Write exact next steps — specific enough that a fresh session can resume without context.
- Note any blockers or unresolved decisions.
- Call
save_checkpointwith summary, next_steps, blockers. - Also call
save_artifacttype=logs, slug=session-{date}, with a full session log.
Output
Checkpoint saved.
Summary: {what was done}
Next session: {exact next steps}
Blockers: {any blockers, or "none"}
Rules
- Be specific in
next_steps— "implement step 3 of plan-XXXXX" not "continue the plan" - Reference plan IDs, task IDs, and file names in next_steps so the next session can resume precisely
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 · 33 lines · 13 tokens per session scan A d8a42785edea
checkpoint is a cursor rule published in the GitHub repository Jkudjo/oh-my-cursor (1 stars, last pushed 6mo ago), licensed MIT. It adds 13 tokens to every session and 224 once invoked, about $0.0001 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.
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