Borrowing it
Nothing to install: this file belongs to jonathanmalkin/jules. 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/jonathanmalkin/jules/main/.claude/skills/wrap-up/SKILL.mdgit clone --depth 1 https://github.com/jonathanmalkin/julesWrote 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/jonathanmalkin/jules/wrap-up)<a href="https://agentmods.dev/skills/jonathanmalkin/jules/wrap-up"><img src="https://agentmods.dev/badge/skills/jonathanmalkin/jules/wrap-up/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/jonathanmalkin/jules/wrap-up"><img src="https://agentmods.dev/badge/skills/jonathanmalkin/jules/wrap-up.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 | $0.00078 | $0.02210 |
| Opus 5.5 | $0.00031 | $0.00884 |
| Sonnet 5.5 | $0.00016 | $0.00442 |
| Haiku 4.5 | $0.00008 | $0.00221 |
Grade A, and why
wrap-up scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wrap-Up
Use this at the end of a meaningful conversation or when the user asks to ship, close out, commit, push, or prepare a handoff.
The job is not just repo cleanup. The job is to leave the workspace in a known state, avoid stepping on running schedulers, ship only intentional changes, and turn repeated friction into improvement candidates.
Opening
Start with Workflow: wrap-up. Then run the deterministic preflight before
making any changes:
python3 ~/.agents/skills/workflows/wrap-up/scripts/wrapup_preflight.py --workspace "$PWD" --due-window-minutes 90
If this skill is running from a copied surface where ~/.agents is unavailable,
run the copy-local script at scripts/wrapup_preflight.py.
Core Sequence
Run these phases in order.
1. Outcome State
Summarize the session's original objective and current state:
- what got done
- what did not get done
- whether the work changed scope
- whether the handoff is
CompleteorContinues
Do not call the session complete if the stated objective is unfinished.
2. Scheduler-Safe Preflight
Use the preflight script output as the collision map. At minimum, account for:
- user LaunchAgents in
~/Library/LaunchAgents - user crontab from
crontab -l - Hermes cron jobs in
~/.hermes/profiles/*/cron/jobs.json - Codex automations in
~/.codex/automations/*/automation.toml - running Hermes gateways, dashboards, WebUI, Dev Secrets, history-search, and other launchd-managed services when visible
Default safety rules:
- Do not restart, unload, kickstart, repair, or create background services during normal wrap-up.
- Do not edit LaunchAgents, Hermes
config.yaml, Hermescron/jobs.json, secrets runtime files, scheduler scripts, or automation definitions unless the session explicitly touched scheduler work. - Treat scheduler output, logs, state snapshots, lock files, and generated reports as owned by running processes unless they are part of this session's deliverable.
- If a scheduled job is unhealthy, record it as an improvement candidate unless the user explicitly asked for scheduler repair.
- If a job is due soon, avoid broad staging. Stage only files known to belong to this session.
What ships with it
4 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.
- 2mo ago First seen · 299 lines · 78 tokens per session scan A b2d478a7a057
wrap-up is a skill published in the GitHub repository jonathanmalkin/jules (67 stars, last pushed 5mo ago), licensed MIT. It adds 78 tokens to every session and 2,210 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.
wrap-up compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| wrap-upjonathanmalkin/jules | Skill | 67 | 5mo ago | MIT | A | 78 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |