Borrowing it
Nothing to install: this file belongs to DustinTrap/kvm-pilot. 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/DustinTrap/kvm-pilot/main/.claude/skills/checkpoint/SKILL.mdgit clone --depth 1 https://github.com/DustinTrap/kvm-pilotWrote 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/dustintrap/kvm-pilot/checkpoint)<a href="https://agentmods.dev/skills/dustintrap/kvm-pilot/checkpoint"><img src="https://agentmods.dev/badge/skills/dustintrap/kvm-pilot/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/dustintrap/kvm-pilot/checkpoint"><img src="https://agentmods.dev/badge/skills/dustintrap/kvm-pilot/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 | $0.00164 | $0.06942 |
| Opus 5.5 | $0.00066 | $0.02777 |
| Sonnet 5.5 | $0.00033 | $0.01388 |
| Haiku 4.5 | $0.00016 | $0.00694 |
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 2mo 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/checkpoint — end-of-session safety sweep
A checkpoint asks one question: is everything I did this session durably captured, or is something quietly at risk of being lost? The next session is often a fresh agent with zero memory of this one — a gap here means redone work or a decision shipped on a false assumption. This replaces "I think I saved everything" with a reproducible sweep ending in SAFE TO STOP or N items need attention, each with the exact fix.
It is the mirror of a morning sweep (which asks what happened while I was away?). Stay in that lane: checkpoint does not score releasability (a separate concern) and does not re-run cloud/telemetry health checks.
Procedure
- Run the read-only scan (it mutates nothing — that's the safety property):
bash .claude/skills/checkpoint/scan.sh - Interpret each surface against the rubric below — the judgement calls the script can't make. Do not skip a surface because it "looked fine"; read the facts.
- Emit the risk-ordered table + one-line verdict (format at the bottom). Highest-risk first.
- Always produce the resume handoff (§ Mandatory handoff) — this happens even on an all-✅ scan.
- Offer the exact fix for every ⚠️; run only the low-risk ones on the operator's go (commit-by-name, save-memory, fix-a-doc). Never promote/release; never blind-add.
- Meta-reflect and self-improve (§ Self-improvement) — the last thing you do. Did the scan raise a false positive (flagged something fine), miss something you only caught by hand, or produce noise? Did the table help? If yes, amend
scan.sh/SKILL.mdin this same run to encode the fix and add a § Version history row pairing the change with the real incident. This step is why the skill is worth more each run.
Rubric — interpret the scan, surface by surface (risk-ordered)
C1 · Version control & working tree — highest risk: unsaved code is unrecoverable
UNCOMMITTED> 0 → ⚠️ commit by name:git -C kvm-pilot commit -m "…" -- <paths>. Nevergit add -A/.(.gitignorecovers venv/artifacts/config.toml/.env, but a stray secret or large file under a new name would be committed irreversibly — stage by name).UNTRACKED_NOT_IGNORED> 0 → ⚠️ eyeball each: is it source to track, or a stray artifact/secret to ignore/delete? Never bulk-add.ON_PROTECTED_BRANCH: yes (main)— normal here, ✅, not a reason to branch. kvm-pilot is issue-per-finding direct-commit-to-main(CLAUDE.md; agent work is not branched). The C1 risk is unsaved work, not the branch — do not adviseswitch -c. (v0.2.0: the prior version wrongly assumed a feature-branch/PR flow.)UNPUSHED (ahead)> 0 → ⚠️ push it (git -C kvm-pilot push). On this project pushingmainruns CI and backs the work up; it does not release (a release needsgh release create). Commits left only-local are the actual work-at-risk. (v0.2.0.)BEHIND> 0 → ⚠️ note; rebase before more work.DEBUG_MARKERS_IN_DIFF> 0 (breakpoint()/pdb/console.log/FIXME/XXX) → ⚠️ remove before commit. Also eyeball the diff for strayprint(added to library modules (client.py,health.py, drivers/ — the CLI usesprintlegitimately, so the scan doesn't flag it).SECRET_SCANreports N possible literal(s) → 🔴 inspect each; if any is a real credential, ROTATE it (it's in the working diff or the last 25 commits — likely already pushed, so removing it doesn't undo the exposure). Heuristic (quotedpassword=/token=literals, inlineIPMI_PASSWORD=<value>, private-key headers; stock defaults likecalvin/adminand env/placeholder refs are excluded), so a hit is "eyeball this," not proof — but never dismiss one without looking. Do not put the secret in RESUME.md or any file to "track" it; RESUME.md is local-only (#209) and still must not hold raw secrets. (v0.10.0)
What ships with it
1 file 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.
- 2mo ago First seen · 136 lines · 164 tokens per session scan A 16eb49f2b769
checkpoint is a skill published in the GitHub repository DustinTrap/kvm-pilot (16 stars, last pushed 8d ago), licensed Apache-2.0. It adds 164 tokens to every session and 6,942 once invoked, about $0.0007 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.
checkpoint compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| checkpointDustinTrap/kvm-pilot | Skill | 16 | 8d ago | Apache-2.0 | A | 164 | Claude Code |
| conventional-commitsIkarusMK/AIcortex | Skill | 11 | yesterday | Apache-2.0 | A | 0 | Claude Code, Codex |
| syncormastes/simple | Skill | 2 | yesterday | none | A | 31 | Codex |
| create-prprisma/orm | Skill | 48k | yesterday | Apache-2.0 | A | 48 | Claude Code, Codex |
| git-commitThinkInAIXYZ/deepchat | Skill | 6.4k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| repo-syncdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 25 | Claude Code, Codex |
| engineer-bot-opsmakecindy/cindy | Skill | 9.3k | yesterday | Apache-2.0 | A | 57 | Claude Code, Codex |