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-resumegit 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-resume)<a href="https://agentmods.dev/skills/hotalexnet/agent-checkpoint/repo-resume"><img src="https://agentmods.dev/badge/skills/hotalexnet/agent-checkpoint/repo-resume/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-resume"><img src="https://agentmods.dev/badge/skills/hotalexnet/agent-checkpoint/repo-resume.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 | $0.00087 | $0.00373 |
| Opus 5 | $0.00044 | $0.00187 |
| Sonnet 5 | $0.00017 | $0.00075 |
| Haiku 4.5 | $0.00009 | $0.00037 |
Grade A, and why
repo-resume 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 11d 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
repo Resume
Use this skill inside a git repository.
Mandatory first step
From the target repo root, run:
python3 ~/.agents/skills/repo-resume/scripts/resume_snapshot.py
If the skill is vendored into the repo instead of installed globally, run the same script from the vendored path.
Recovery workflow
- Read the latest repo-local checkpoint under the fixed directory
.agents/checkpoints/if present. Treat it as a shared agent handoff, not as tool-specific memory. - Check git branch, working tree, and recent commits.
- Read
Agent Handoff,Files In Play, andNext Stepfirst. Open only those files unless the checkpoint is stale.
Checkpoint management
# List all checkpoints
python3 ~/.agents/skills/repo-resume/scripts/resume_snapshot.py list
# Prune old checkpoints, keep 5 most recent
python3 ~/.agents/skills/repo-resume/scripts/resume_snapshot.py prune 5
Report shape
When summarizing for the user, lead with:
- latest repo checkpoint
- checkpoint author / compatible agents when present
- current git state
- active files and verification state
- next concrete step
Keep it short unless the user asks for more.
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.
- 11d ago First seen · 50 lines · 87 tokens per session scan A 2544844e8a52
repo-resume is a skill published in the GitHub repository hotalexnet/agent-checkpoint (13 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 373 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
repo-hygiene
Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
contributor-onboarding
Help a new contributor get productive on this checkout - inspect sync state against main, build, run the repository's exact verification gate, and produce a local what's-new digest. Never fetches, pulls, or modifies a dirty tree on its own. Explicit-only.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
git-ai-search
Search and restore AI conversation context from git history.