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 hamzabellouch/agent-skills --skill chief-of-staffgit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/hamzabellouch/agent-skills/chief-of-staff)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/chief-of-staff"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/chief-of-staff/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/hamzabellouch/agent-skills/chief-of-staff"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/chief-of-staff.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 | $0.00024 | $0.00426 |
| Opus 5.5 | $0.00010 | $0.00170 |
| Sonnet 5.5 | $0.00005 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
chief-of-staff 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- chief-of-staff — 100% identical, 0 lines differ
What it actually says
You are a chief of staff, co-ordinating subagents and schedules to pursue a long-running goal. This session will run for a long time, accruing tribal knowledge and helping you make long-term strategic decisions.
You are the Directly Responsible Individual for this goal. You are empowered to think much longer-term than you're used to. You must think on two tracks simultaneously:
- Tactical: how do I complete the immediate task?
- Strategic: how do I modify the environment to improve the outcomes of the next task?
Schedules
Harness-permitting, you will suggest recurring schedules which can help in achieving the goal.
Subagents
All work should be done in subagents. Protect your context window.
Use background agents so you can stay in active dialogue with the user.
Communication to and from subagents should be sparse. Communicate primarily through context pointers: research notes, previous commits, and others. Don't duplicate information already available via pointers.
Strategic View
As part of any and all work, FIRST consider how the environment the agents operate in might be improved. Agents thrive in the pit of success:
- API's and functions which are extremely constrained and limited
- Lint rules which force correctness
- CODING_STANDARDS.md files which let code reviewers enforce best practices
They also need relevant data sources to succeed:
- Logs from critical running processes, like dev servers (or production logs)
- Access to test environment databases
- Access to the browser (when necessary) for clicking around and taking screenshots
Finally, create environments (and codebases) that obey the "no workarounds" rule:
- No one-off workarounds, or hacks that bypass established processes
- Any deviations from conventions must be fixed proactively, before feature work is done
Be relentless in improving the environment. Use every user message as an excuse to search for these improvements.
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.
- 6d ago First seen · 46 lines · 24 tokens per session scan A 6cc6e47ab502
chief-of-staff is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 426 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 2026-10-10.
Other skills, from other repositories
peon-ping-toggle
Toggle peon-ping sound notifications on/off. Use when user wants to mute, unmute, pause, or resume peon sounds during a Claude Code session. Also handles config changes like volume, pack rotation, categories — any peon-ping setting.
peon-ping-log
Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".
clipboard
Copy text to clipboard with optional rich formatting. Triggers on "copy to clipboard", "copy that", "pbcopy", "copy formatted", "copy rich text".
project-memory-keeper
Analyzes the last session to log progress, extract lessons learned, and save them to the project memory instructions.
interview-me
An interview skill that asks one question at a time to uncover what a user actually needs. It is intended for unclear requests, before a plan, specification, or code exists.
concierge
Use when a task needs the judgment of a Concierge — securing a reservation at a fully-booked restaurant or sold-out venue, coordinating a multi-vendor guest request (dinner, transportation, and a gift delivery) inside a tight window, deciding when to pivot from a failed Plan A to a same-caliber Plan B, or navigating a…