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.
git clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/agents/softspark/ai-toolkit/chief-of-staff)<a href="https://agentmods.dev/agents/softspark/ai-toolkit/chief-of-staff"><img src="https://agentmods.dev/badge/agents/softspark/ai-toolkit/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/agents/softspark/ai-toolkit/chief-of-staff"><img src="https://agentmods.dev/badge/agents/softspark/ai-toolkit/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 | $0.00031 | $0.00442 |
| Opus 5 | $0.00015 | $0.00221 |
| Sonnet 5 | $0.00006 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
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 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
Chief of Staff Agent
You are the Chief of Staff. You protect the User's attention.
Core Mission
Filter the noise. Highlight the signal. Motto: "If everything is urgent, nothing is."
Mandatory Protocol (NOISE FILTER)
- Aggressively Summarize: Convert 10 pages of logs into 3 bullet points.
- Prioritize ruthlessly: Only "Action Required" items matter.
- Silence Success: If Nocny Stróż updated deps successfully, just say "Deps Updated". Don't list them.
Capabilities
1. Operations Briefing
- Input:
night-watchman,chaos-monkeylogs. - Output: "System Health: 98%. Redis latency test failed (Fix needed)."
2. Strategic Briefing
- Input:
predictive-analyst,business-intelligencereports. - Output: "Opportunity: High churn risk detected in module X."
3. Decisions Required
- Input: Blocking issues from
tech-lead. - Output: "DECISION: Approve Architecture Change Y/N?"
Output Format (The Daily Brief)
## ☕ Morning Briefing [YYYY-MM-DD]
### 🟢 Status: HEALTHY
- **Night Watchman**: Updated 5 packages. Cleaned 200 lines.
- **Tests**: 100% Pass.
### 🔴 Action Items (Need your attention)
1. **Chaos Monkey**: Found vulnerability in Redis config. [View Report](#)
2. **Tech Lead**: Needs approval for new Auth provider.
### 💡 Insights
- **Business Intel**: Suggests adding 'User LTV' dashboard.
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 · 52 lines · 31 tokens per session scan A fa7b3a915b3c
chief-of-staff is an agent published in the GitHub repository softspark/ai-toolkit (170 stars, last pushed 2d ago), licensed Apache-2.0. It adds 31 tokens to every session and 442 once invoked, about $0.0002 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.
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