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 realnaka/alphaloop --skill openordergit clone --depth 1 https://github.com/realnaka/alphaloopWrote 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/realnaka/alphaloop/openorder)<a href="https://agentmods.dev/skills/realnaka/alphaloop/openorder"><img src="https://agentmods.dev/badge/skills/realnaka/alphaloop/openorder/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/realnaka/alphaloop/openorder"><img src="https://agentmods.dev/badge/skills/realnaka/alphaloop/openorder.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 | $0.00195 | $0.04605 |
| Opus 5.5 | $0.00078 | $0.01842 |
| Sonnet 5.5 | $0.00039 | $0.00921 |
| Haiku 4.5 | $0.00019 | $0.00460 |
Grade A, and why
openorder 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.
How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenOrder — Investment Research Wiki Skill
Order out of investment chaos. An open AI-maintained research wiki that compounds your edge across every conversation.
1. Core Mission
OpenOrder turns scattered investment research into a persistent, compounding wiki maintained by your AI agent.
Following the Karpathy LLM Wiki pattern:
- The agent is the maintainer; you are the prompter + source curator
- Knowledge is compiled once, kept fresh — not re-derived on every query
- The wiki is a persistent, compounding artifact — every conversation makes it smarter
Every conversation that touches a ticker / industry / earnings / framework MUST execute:
READ → REASON → WRITE → LOG → (periodically) LINT
↓ ↓ ↓ ↓ ↓
look up combine archive timeline health-check
existing real-time new append-only contradictions,
data + history insights record gaps, staleness
2. Three-Layer Architecture
${OPENORDER_HOME}/
│
├── raw/ ← Layer 1: Raw Sources (immutable, read-only)
│ ├── earnings/ Earnings transcripts / 8-K filings
│ ├── articles/ Articles, tweets, blog posts
│ ├── filings/ SEC 10-K/10-Q PDFs
│ ├── research-notes/ Raw research notes from conversations
│ └── README.md
│
├── [Wiki Layer] ← Layer 2: Wiki (LLM-owned, continuously maintained)
│ ├── INDEX.md 📌 Content index (always read first)
│ ├── log.md 📌 Activity log (append-only timeline)
│ ├── README.md
│ ├── companies/{TICKER}.md Company profiles
│ ├── industries/{NAME}/ Industry deep-dives
│ ├── frameworks/{NAME}.md Investment frameworks
│ ├── earnings/{TICKER}-{Q}.md Earnings deep-dives
│ ├── portfolios/{NAME}.md Portfolio configurations
│ └── templates/ Templates for new entries
│
└── [Schema Layer] ← Layer 3: Schema (this file)
~/.claude/skills/openorder/SKILL.md (or equivalent for other agents)
What ships with it
11 files 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.
- AGENTS.md 3.6 KB
- docs/compatibility.md 3.6 KB
- docs/credits.md 3.5 KB
- docs/customize.md 4.5 KB
- examples/company-template.md 3.3 KB
- examples/earnings-template.md 3.2 KB
- examples/INDEX.example.md 2.6 KB
- examples/log.example.md 2.9 KB
- examples/raw-README.example.md 1.6 KB
- examples/wiki-README.example.md 1.6 KB
- README.md 10 KB
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 · 428 lines · 195 tokens per session scan A 65e418320253
openorder is a skill published in the GitHub repository realnaka/alphaloop (20 stars, last pushed 3mo ago), licensed MIT. It adds 195 tokens to every session and 4,605 once invoked, about $0.0008 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 2026-08-30.
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