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 braxtonROSE4/zorro-agent --skill llm-wikigit clone --depth 1 https://github.com/braxtonROSE4/zorro-agentWrote 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/braxtonrose4/zorro-agent/llm-wiki)<a href="https://agentmods.dev/skills/braxtonrose4/zorro-agent/llm-wiki"><img src="https://agentmods.dev/badge/skills/braxtonrose4/zorro-agent/llm-wiki/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/braxtonrose4/zorro-agent/llm-wiki"><img src="https://agentmods.dev/badge/skills/braxtonrose4/zorro-agent/llm-wiki.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 | $0.00037 | $0.04174 |
| Opus 5 | $0.00018 | $0.02087 |
| Sonnet 5 | $0.00007 | $0.00835 |
| Haiku 4.5 | $0.00004 | $0.00417 |
Grade B, and why
llm-wiki scanned grade B 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 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo loginctl enable-linger $USER This is a copy
84% identical to llm-wiki — 107 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Karpathy's LLM Wiki
Build and maintain a persistent, compounding knowledge base as interlinked markdown files. Based on Andrej Karpathy's LLM Wiki pattern.
Unlike traditional RAG (which rediscovers knowledge from scratch per query), the wiki compiles knowledge once and keeps it current. Cross-references are already there. Contradictions have already been flagged. Synthesis reflects everything ingested.
Division of labor: The human curates sources and directs analysis. The agent summarizes, cross-references, files, and maintains consistency.
When This Skill Activates
Use this skill when the user:
- Asks to create, build, or start a wiki or knowledge base
- Asks to ingest, add, or process a source into their wiki
- Asks a question and an existing wiki is present at the configured path
- Asks to lint, audit, or health-check their wiki
- References their wiki, knowledge base, or "notes" in a research context
Wiki Location
Configured via skills.config.wiki.path in ~/.zorro/config.yaml (prompted
during zorro config migrate or zorro setup):
skills:
config:
wiki:
path: ~/wiki
Falls back to ~/wiki default. The resolved path is injected when this
skill loads — check the [Skill config: ...] block above for the active value.
The wiki is just a directory of markdown files — open it in Obsidian, VS Code, or any editor. No database, no special tooling required.
Architecture: Three Layers
wiki/
├── SCHEMA.md # Conventions, structure rules, domain config
├── index.md # Sectioned content catalog with one-line summaries
├── log.md # Chronological action log (append-only, rotated yearly)
├── raw/ # Layer 1: Immutable source material
│ ├── articles/ # Web articles, clippings
│ ├── papers/ # PDFs, arxiv papers
│ ├── transcripts/ # Meeting notes, interviews
│ └── assets/ # Images, diagrams referenced by sources
├── entities/ # Layer 2: Entity pages (people, orgs, products, models)
├── concepts/ # Layer 2: Concept/topic pages
├── comparisons/ # Layer 2: Side-by-side analyses
└── queries/ # Layer 2: Filed query results worth keeping
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 · 461 lines · 37 tokens per session scan B 7cdd9087cb5f
llm-wiki is a skill published in the GitHub repository braxtonROSE4/zorro-agent (8 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 4,174 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 84% identical to llm-wiki, differing in 107 lines, and is treated as a copy.
Other skills, from other repositories
cost-optimize
Reduce the food cost of a menu to hit a target percentage through ingredient swaps, without sacrificing quality.
dietary-check
Audit a menu for allergen labelling, vegan and halal coverage, and common dietary requirements.
plan-menu
Build a balanced, seasonal menu that meets a specified food-cost target and service period.
interview-kit
Draft a structured interview kit for shortlisted candidates — questions per competency, evidence sought, and what a strong answer looks like.
summarize
Use when asked to research a topic or summarize sources — fetch primary sources, quote precisely, cite every claim, and flag uncertainty.
escalation-policy
Use when a ticket must be handed to a human agent instead of resolved by the AI.