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 markoblogo/abvx-agent-skills --skill system-zoom-outgit clone --depth 1 https://github.com/markoblogo/abvx-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/markoblogo/abvx-agent-skills/system-zoom-out)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/system-zoom-out"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/system-zoom-out/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/markoblogo/abvx-agent-skills/system-zoom-out"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/system-zoom-out.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 | $0.00069 | $0.00284 |
| Opus 5 | $0.00034 | $0.00142 |
| Sonnet 5 | $0.00014 | $0.00057 |
| Haiku 4.5 | $0.00007 | $0.00028 |
Grade A, and why
system-zoom-out 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 9d 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
System Zoom Out
When local detail is crowding out system understanding, step back and draw the map.
Output
Explain:
- the relevant modules;
- the entrypoints and callers;
- the key dependencies and boundaries;
- the domain language used in this area;
- why this local change matters to the wider system.
Rules
- Use the repo's domain language, not generic abstractions.
- Prefer maps and relationships over line-by-line summaries.
- Name what is outside the current focus so the user sees the edge of the map.
- If the repo already has architecture docs, align with them or call out contradictions.
Best Use Cases
- architecture audits;
- unfamiliar code areas;
- refactor proposals;
- onboarding into a subsystem;
- explaining blast radius before a change.
Final Report
Give the map, the boundaries, and the best next file or module to inspect if the user wants to go deeper.
What ships with it
2 files 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.
- 9d ago First seen · 42 lines · 69 tokens per session scan A 7174ac06170d
system-zoom-out is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 284 once invoked, about $0.0003 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 2026-09-03.
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