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 rangerrick337/operator-os --skill ai-context-optimizergit clone --depth 1 https://github.com/rangerrick337/operator-osWrote 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/rangerrick337/operator-os/ai-context-optimizer)<a href="https://agentmods.dev/skills/rangerrick337/operator-os/ai-context-optimizer"><img src="https://agentmods.dev/badge/skills/rangerrick337/operator-os/ai-context-optimizer/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/rangerrick337/operator-os/ai-context-optimizer"><img src="https://agentmods.dev/badge/skills/rangerrick337/operator-os/ai-context-optimizer.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 | $0.00228 |
| Opus 5.5 | $0.00016 | $0.00091 |
| Sonnet 5.5 | $0.00008 | $0.00046 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
ai-context-optimizer 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 1mo 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
AI Context Optimizer
Audit before cleanup. Classify each finding as Keep Active, Summary Candidate,
Archive Candidate, or Review Needed.
- Map canonical instructions and platform discovery pointers.
- Measure large Markdown, repeated headings, stale dates, broken links, and overlapping triggers.
- Distinguish stored corpus size from content loaded at session start.
- Keep skills that add domain rules, deterministic automation, permission gates, or a repeatable measured process.
- Prefer one lean router plus on-demand references over duplicated policy.
- Archive reversibly and repair routes only after implementation is authorized.
Preserve security, legal, financial, deployment, architecture, and active roadmap records. Age or size alone never makes a file obsolete.
Report evidence, replacement routes, approval boundaries, estimated entrypoint reduction, checks performed, and any item requiring human judgment.
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.
- 1mo ago First seen · 25 lines · 39 tokens per session scan A 2bb6bf0d8a52
ai-context-optimizer is a skill published in the GitHub repository rangerrick337/operator-os (9 stars, last pushed 14d ago), licensed MIT. It adds 39 tokens to every session and 228 once invoked, about $0.0002 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 2026-09-04.
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