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 skills add hotalexnet/agent-checkpoint --skill repo-checkpointgit clone --depth 1 https://github.com/hotalexnet/agent-checkpointWrote 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/hotalexnet/agent-checkpoint/repo-checkpoint)<a href="https://agentmods.dev/skills/hotalexnet/agent-checkpoint/repo-checkpoint"><img src="https://agentmods.dev/badge/skills/hotalexnet/agent-checkpoint/repo-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/skills/hotalexnet/agent-checkpoint/repo-checkpoint"><img src="https://agentmods.dev/badge/skills/hotalexnet/agent-checkpoint/repo-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 | $0.00068 | $0.00546 |
| Opus 5.5 | $0.00027 | $0.00218 |
| Sonnet 5.5 | $0.00014 | $0.00109 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
repo-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.
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.
repo Checkpoint
Use this skill inside a git repository.
Why this skill exists
Conversation state is fragile. A repo-local markdown checkpoint is not.
This skill writes a timestamped markdown handoff under the fixed repo-local
directory .agents/checkpoints/ so the next session can recover from any
programming agent: Codex/OpenAI CLI, Claude Code, opencode, or a generic shell
agent. The checkpoint belongs to the repository, not to a particular tool.
- what the user actually wanted
- what constraints mattered
- what files were in play
- what remains next
Use save_checkpoint.py --current when maintaining one active lane; it atomically
updates current.md without replacing historical snapshots. New checkpoints carry
expiry and base-commit metadata, and common credentials are redacted before write.
Mandatory first step
From the target repo root, run:
python3 ~/.agents/skills/repo-checkpoint/scripts/save_checkpoint.py --title "<short-title>" --agent "<codex|claude-code|opencode|other>"
If the skill is vendored into the repo instead of installed globally, run the same script from the vendored path.
Workflow
- Create the scaffold first. Do not invent the path manually.
- Replace every
TODOwith concrete current-session state. - Treat
Agent HandoffandKey Chat Contextas first-class data:- which agent wrote the checkpoint
- which agent should be able to resume it
- where to start without relying on hidden conversation memory
- user goal
- explicit constraints
- scope changes
- rejected paths
- exact wording worth preserving
- Keep
Files In Play,Verification, andNext Stepexecutable. - End with the checkpoint path and tell the user that any supported agent can
run
repo-resumefrom the same repo next time.
Output contract
Keep these top-level sections exactly:
## Agent Handoff## Session Goal## Current State## Key Chat Context## Files In Play## Verification## Next Step## Resume Recipe## Git Snapshot
What ships with it
2 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 Changed · +4 lines 099a4f8b9210
- 2mo ago First seen · 65 lines · 68 tokens per session scan A 31aa3fb65113
repo-checkpoint is a skill published in the GitHub repository hotalexnet/agent-checkpoint (14 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 546 once invoked, about $0.0003 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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