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/jmagly/kintsugi-usb/security-engineering-quickrefnpx skills add jmagly/kintsugi-usb --skill security-engineering-quickrefgit clone --depth 1 https://github.com/jmagly/kintsugi-usbWhat 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 | $0.00076 | $0.01992 |
| Opus 5 | $0.00038 | $0.00996 |
| Sonnet 5 | $0.00015 | $0.00398 |
| Haiku 4.5 | $0.00008 | $0.00199 |
Grade A, and why
security-engineering-quickref scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `ci-workflow-audit` | tag-pinned actions/containers, bare `:latest`, PR-triggered jobs with `secrets.*`, curl-pipe-shell without hash checks | The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file 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.
- 2d ago First seen · 168 lines · 76 tokens per session scan A caff95d3fa7e
security-engineering-quickref is a skill published in the GitHub repository jmagly/kintsugi-usb (11 stars, last pushed 1mo ago), with no licence file. It adds 76 tokens to every session and 1,992 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
backups
Use when designing or auditing a backup-and-restore program that must survive a real disaster: setting defensible RPO/RTO targets, laying out 3-2-1-1-0 copies that are offsite and immutable, wiring point-in-time recovery, and proving restores work on a schedule. NOT tuning Postgres internals or writing the…
agentphone
Get your AI agent a real US/Canada phone number in one API call. Make voice calls, send and receive SMS, and hold actual conversations — all via API.
concept-modeler
Use when user needs are vague or terminology is unclear. Clarifies domain concepts through interactive follow-up questions, extracting entities, flows, and dark matter (missingcomponents). Invoked by /genesis Step 1 after Step 0 has set TARGETDIR = .anws/v{N}; use with /genesis in the same workspace.
memorize
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering.
scrum-master
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON…
notebooklm
Sistema universal para crear y mantener notebooks de NotebookLM como Memoria Viva de Proyecto. Úsalo cuando el usuario describe una idea de proyecto, pide crear un "libro", registrar decisiones de arquitectura/diseño o auditar la consistencia del proyecto. Actúa como el cerebro central que cualquier IA puede leer…