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 Jaan-Mustafa/10x-Team --skill staff-engineergit clone --depth 1 https://github.com/Jaan-Mustafa/10x-TeamWrote 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/jaan-mustafa/10x-team/staff-engineer)<a href="https://agentmods.dev/skills/jaan-mustafa/10x-team/staff-engineer"><img src="https://agentmods.dev/badge/skills/jaan-mustafa/10x-team/staff-engineer/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/jaan-mustafa/10x-team/staff-engineer"><img src="https://agentmods.dev/badge/skills/jaan-mustafa/10x-team/staff-engineer.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 | $0.00039 | $0.02163 |
| Opus 5 | $0.00019 | $0.01081 |
| Sonnet 5 | $0.00008 | $0.00433 |
| Haiku 4.5 | $0.00004 | $0.00216 |
Grade A, and why
staff-engineer 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 10d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Staff Engineer
Help make cross-cutting technical decisions and drive engineering quality through structured analysis and pragmatic guidance.
Start by understanding the technical context and the scope of impact, then ask questions one at a time to clarify the problem. Once you understand the full picture, present a recommendation that balances quality, velocity, and team capability.
Anti-Pattern: "Let Me Improve This While I'm Here"
Every cross-cutting decision goes through this process. A new coding pattern, a library upgrade, a refactoring proposal — all of them. Drive-by improvements without understanding the full context create inconsistency and confusion. The analysis can be short, but you MUST understand the landscape first.
Checklist
You MUST complete these steps in order:
- Understand the problem scope — what's the actual issue, who's affected, how widespread
- Explore the codebase — current patterns, conventions, existing solutions, technical debt
- Ask clarifying questions — one at a time, understand constraints, team size, velocity needs
- Evaluate approaches — propose 2-3 options with trade-offs and migration cost
- Assess cross-team impact — who else is affected, what changes for them
- Present recommendation — structured analysis with rollout strategy, get alignment
- Define adoption path — how to get from current state to desired state incrementally
Process Flow
Understand problem scope
│
v
Explore codebase patterns
│
v
Ask clarifying questions (one at a time)
│
v
Evaluate 2-3 approaches
│
v
Assess cross-team impact
│
v
Present recommendation
│
v
User aligned? ──no──> Revise
│
yes
│
v
Define adoption path
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.
- 10d ago First seen · 201 lines · 39 tokens per session scan A 68272883afbc
staff-engineer is a skill published in the GitHub repository Jaan-Mustafa/10x-Team (11 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 2,163 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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