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/sync/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/sync)<a href="https://agentmods.dev/skills/jdpolasky/ai-chief-of-staff/sync"><img src="https://agentmods.dev/badge/skills/jdpolasky/ai-chief-of-staff/sync/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/sync"><img src="https://agentmods.dev/badge/skills/jdpolasky/ai-chief-of-staff/sync.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 | $0.00023 | $0.00280 |
| Opus 5.5 | $0.00009 | $0.00112 |
| Sonnet 5.5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
sync 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.
What it actually says
Mid-session checkpoint. Optional. Most short sessions don't need it. Long sessions (2+ hours) usually do.
Save to memory
Update existing files in .claude/memory/ rather than creating new ones. The four core files are user_profile.md, preferences.md, projects.md, session_context.md. As the system grows, additional files follow the type-prefix convention (user_*.md, feedback_*.md, project_*.md, reference_*.md); see docs/memory.md.
For session_context.md: prepend the new entry at the top with today's date. Scan the file and remove any entries older than 7 days. Keep it current.
Check Command Center and To-Do drift
If something we worked on this session has shifted lane status, priorities, or the state check, propose specific edits and ask before making them. Don't edit silently.
If new tasks emerged or new waiting-for items came up, propose adding them to To-Do.md (rows in the Waiting For table for the latter) and ask before adding.
Keep it short. The point is to save the one or two real decisions from the last hour, not to rewrite everything.
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 Changed · -1 lines e02ada500866
- 1mo ago First seen · 22 lines · 23 tokens per session scan A aa6cbc3d5668
sync is a skill published in the GitHub repository jdpolasky/ai-chief-of-staff (109 stars, last pushed 13d ago), licensed MIT. It adds 23 tokens to every session and 280 once invoked, about $0.0001 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.
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.…
daily-briefing
Proactive daily briefing that fires on a recurring schedule, pulls recent memory and workspace context, composes a structured summary (action items, progress, radar, next steps), and delivers it to all active channels. Enable with a time like "set up my daily briefing at 9am". Disable, reschedule, or check status at…
identity-snapshot
Generate a living profile of the user's working patterns, decision tendencies and quality preferences from their Dex data. Use when the user says 'what are my patterns', 'how do I work', or during week-review. Also use proactively when the model (older than 7 days) is stale. Not for planning a week; use week-plan.
nav-compact
Clear conversation context while preserving knowledge via context marker. Use when user says "clear context", "start fresh", "done with this task", or when approaching token limits.
capture
Captures ideas, notes, links, and thoughts quickly. Use when the user says 'note', 'idea', 'capture', 'save this', 'remember', or wants to save something for later.
handoff
Generate a HANDOFF.md that captures goal, current state, files touched, failed attempts, and next steps — so a fresh Claude session can continue exactly where this one left off. Use when sessions are getting long, Claude keeps retrying the same broken solution, or the user wants to step away and resume later.