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 agentmods add skills/v0idos/performance-deity/networknpx skills add v0idOS/performance-deity --skill networkgit clone --depth 1 https://github.com/v0idOS/performance-deityWhat 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 | $0.00032 | $0.00287 |
| Opus 5 | $0.00016 | $0.00143 |
| Sonnet 5 | $0.00006 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
network 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 2d 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
Execute all four phases in order.
Phase 1 — Payload Profiling
- Identify the API endpoint.
- Measure the raw JSON response size in bytes.
- Identify the nested or repeated structures contributing the most bytes.
Phase 2 — Compression & Caching
- Check response headers. Verify
Content-Encoding: gziporContent-Encoding: bris present. If not, enable it server-side. - Add HTTP caching headers:
Cache-Control: max-age=<N>, stale-while-revalidate=<N>ETagfor conditional GET support
Phase 3 — Serialization
If the payload exceeds 1MB:
- Migrate to GraphQL so clients request only the fields they need, or
- Migrate to Protocol Buffers (protobuf) for binary serialization.
- For real-time data, use Server-Sent Events or WebSockets to eliminate repeated full-payload polling.
Phase 4 — Report
| Metric | Before | After |
|---|---|---|
| Payload size | X KB | Y KB |
| Transfer time (3G sim) | Xms | Yms |
| Cache hit rate | 0% | Z% |
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.
- 2d ago First seen · 34 lines · 32 tokens per session scan A aa1409777ec9
network is a skill published in the GitHub repository v0idOS/performance-deity (2 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 287 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 2026-08-31.
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