Borrowing it
Nothing to install: this file belongs to jdpolasky/ai-chief-of-staff. 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/jdpolasky/ai-chief-of-staff/main/.claude/skills/wrap/SKILL.mdgit clone --depth 1 https://github.com/jdpolasky/ai-chief-of-staffWrote 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/jdpolasky/ai-chief-of-staff/wrap)<a href="https://agentmods.dev/skills/jdpolasky/ai-chief-of-staff/wrap"><img src="https://agentmods.dev/badge/skills/jdpolasky/ai-chief-of-staff/wrap/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/jdpolasky/ai-chief-of-staff/wrap"><img src="https://agentmods.dev/badge/skills/jdpolasky/ai-chief-of-staff/wrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.00857 |
| Opus 5 | $0.00013 | $0.00428 |
| Sonnet 5 | $0.00005 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
wrap 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 13d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
End of session. Two phases.
Phase 1 — Deterministic file work
Do these first, in order. Don't narrate them.
1. Bump the Command Center
Read Command Center.md from the vault (path is in CLAUDE.md). Find the line **Last updated:** ... near the top and replace the date with today's date (YYYY-MM-DD). Don't change anything else in the file unless the user has asked you to.
2. Move checked tasks to Done
In To-Do.md, scan the four quadrants (Do Now, Schedule, Defer, Later) for any tasks marked - [x]. Move each one into the ## Done section at the bottom. Preserve the original wording. Add a date prefix in YYYY-MM-DD format if the task doesn't already carry one.
If no tasks were checked, skip this step silently.
3. Append a session log entry
Read _system/last_session.md to get the current session number from its frontmatter, then increment by 1 (the new value).
Append a block like this to _system/Session Log.md:
## Session N — YYYY-MM-DD
[Two to four sentences on what actually shipped this session. What changed in the world, not what was discussed.]
**Open threads:** [bullet list, or "none" if everything closed]
Use the new session number.
4. Overwrite hot context
Overwrite _system/hot.md with one paragraph (3-6 sentences) describing the current state at session close. This is deliberately low-fidelity. The next /start reads it to recover in-progress context quickly.
5. Overwrite last_session.md
Overwrite _system/last_session.md. Set the date: frontmatter to today and the session: frontmatter to the new session number. Body holds the recap paragraph and open-threads list. Same content as the Session Log entry, but as a standalone file the next /start reads first.
6. Append memory firings (if any fired)
If any memory file in .claude/memory/ actually shaped a response during this session, append one line per firing to _system/memory_firings.log:
YYYY-MM-DD | session_N | filename.md | one-line note about how it fired
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.
- 13d ago First seen · 86 lines · 25 tokens per session scan A 79e26f72a686
wrap is a skill published in the GitHub repository jdpolasky/ai-chief-of-staff (100 stars, last pushed 7d ago), licensed MIT. It adds 25 tokens to every session and 857 once invoked, about $0.0001 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
chief-of-staff
Act as the user's chief of staff, not a task-taker. Use for planning a day or week, triaging priorities, prepping for meetings or calls, drafting messages on the user's behalf, tracking commitments and follow-ups, reviewing what's in-flight, or any moment the user wants a trusted operator who knows their context.…
sweep-now
Run the three read-mostly vault sweeps for stale tracker items, dormant-note candidates, and broken wikilinks, then append one dated result to SWEEPLOG.md.
operator-setup
The AIgent first-run operator-business interview. Learn the operator's business in three plain questions, write the first memory, and play back a briefing that reads personal, not templated. This is the "it remembers me" moment. A distinct skill that LAYERS ON TOP of the base /setup (which is left intact), it does not…
vellum-memory-v3-migration
One-time migration of an existing memory-v2 concept corpus into the memory-v3 section-grain "wiki" — topical articles with a stand-alone lead and queryable sections — with loss-proof staging, assistant-reviewed authoring, and a retrieval-eval gate before cutover.
vellum-memory-v2-migration
Perform a one-time migration from memory v1, to memory v2, which was introduced in 0.8.0.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…