Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/kostyk348/sint-ua-v2.1/state)<a href="https://agentmods.dev/skills/kostyk348/sint-ua-v2.1/state"><img src="https://agentmods.dev/badge/skills/kostyk348/sint-ua-v2.1/state/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/kostyk348/sint-ua-v2.1/state"><img src="https://agentmods.dev/badge/skills/kostyk348/sint-ua-v2.1/state.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 | $0.00038 | $0.01957 |
| Opus 5 | $0.00019 | $0.00979 |
| Sonnet 5 | $0.00008 | $0.00391 |
| Haiku 4.5 | $0.00004 | $0.00196 |
Grade A, and why
state 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persistent working memory. Updated by agent at end of every session. Read this at the start of every session before doing anything else.
CURRENT FOCUS
What is actively being worked on right now. Max 3 items.
- DSA — add DSP chain + 3D spatialization to mixer; then git init + push to GitHub
- DataTrace — taint engine + live taint tracking working; then git init + push + README
- 100 Orange Juice —
data.ojd= encrypted SQLite 3.49.1; recoverlogiovfsxRead key to decrypt full DB offline
ACTIVE PROJECTS
DSO — Deterministic Streaming OS
MPTC — Memory Allocator
DataTrace — LD_PRELOAD + eBPF Taint Tracker
- Path: /home/lain/datatrace/dtrace/
taint.py: TaintEngine — 64-bit bitmask labels (T_NETWORK/T_FILE/T_ARGV/T_HEAP...), interval-map shadow memory, L_union/L_intersect, sinks, TaintReport, flow_dot- Integrated into tracer.py (ProcessTracer.taint), collector.py (feed_events + run_live),
cli.py (subcommands
taint --dot,run --taint --emit flow:out.dot) - preload.c: LD_PRELOAD agent hooks malloc/free/memcpy/recvfrom/sendto -> EV_* JSONL on stderr
- VERIFIED live: recvfrom->memcpy->sendto flagged UNTRUSTED; const memcpy->sendto clean
- PUSHED to GitHub: https://github.com/kostyk348/datatrace
DSA — Data-oriented Streaming Audio
- Open FMOD replacement at /home/lain/dsa/
- ALSA output, 275 C++ ABI symbols exported (205 core + 70 studio const)
- SONAME: libfmod.so.14 / libfmodstudio.so.14 with versioned symlinks
- Verified: GodotFmod + both DSA .so load clean via RPATH
- DONE: 15 DSP effects in mixer.c + DSA_DSPState (dsa_internal.h), per-DSP alloc/free
- DONE: real 3D spatialization (inverse-rolloff attenuation + azimuth pan by listener vectors); min/max_distance SoA fields; DSA_Channel_Set3DMinMaxDistance wired
- DONE: pitch resample via linear interp; hash-chain audit already in arena.c
- Verified: make rc=0, example rc=0, DSP smoke 0 failures, 3D attenuation near=0.25 far=0.0025
- PUSHED to GitHub: https://github.com/kostyk348/dsa
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 · 81 lines · 0 tokens per session scan A c1283d2b60fc
state is a skill published in the GitHub repository kostyk348/sint-ua-v2.1 (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,957 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.
Other skills, from other repositories
close
Commit the session to durable vault memory and prepare a clean resume point.
reminder
Set reminders and manage todos with natural language. Uses built-in cron scheduling, no external service needed.
daily-briefing
Daily briefing aggregating weather, reminders, news, and calendar. Delivered on schedule via any channel.
email-assistant
Read, search, draft, and send emails via Himalaya CLI or Python IMAP/SMTP. Requires email account configuration.
calendar
Manage calendar events via CalDAV (Google/iCloud/Nextcloud) or local ICS files. View, create, and query events.
setup-brain
Set up or upgrade an AI-powered Obsidian vault. Interviews you, builds your vault structure (or works with what you already have), creates your CLAUDE.md memory file, installs tools, and gets you journaling — all in one conversation. Also has a repair/upgrade path for existing users.