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 commands/chemaclass/agnostic-ai/alphagit clone --depth 1 https://github.com/Chemaclass/agnostic-aiWrote 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/commands/chemaclass/agnostic-ai/alpha)<a href="https://agentmods.dev/commands/chemaclass/agnostic-ai/alpha"><img src="https://agentmods.dev/badge/commands/chemaclass/agnostic-ai/alpha.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00034 |
| Opus 5 | $0.00000 | $0.00017 |
| Sonnet 5 | $0.00000 | $0.00007 |
| Haiku 4.5 | $0.00000 | $0.00003 |
Grade A, and why
alpha 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 4d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- beta — 94% identical, 2 lines differ
- gamma — 92% identical, 2 lines differ
- cmd-two — 91% identical, 3 lines differ
- skill-tres — 91% identical, 7 lines differ
- cmd-one — 91% identical, 3 lines differ
- cmd-three — 89% identical, 3 lines differ
- skill-uno — 83% identical, 7 lines differ
- sample-agent — 80% identical, 7 lines differ
What it actually says
alpha body
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.
- 4d ago First seen · 5 lines · 0 tokens per session scan A eb45f126c995
alpha is a command published in the GitHub repository Chemaclass/agnostic-ai (11 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 34 tokens. 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.
Other commands, from other repositories
frontend
Injects context of all relevant cli files.
cleanup-back-to-main
Go back to main and clean up the branch.
spec-research
需求 → 约束集（并行探索 + OPSX 提案）.
spec-design
Create comprehensive technical design for a specification.
release
Ship a stable cmux release built by CI: bump version, update changelog, open a PR, merge, tag, then GitHub Actions builds, signs, and publishes.
notebook-query
Query the notebook knowledge base (SQLite) built by /agy:notebook — precise, grounded, cited. Ask in natural language ("sum the amounts by category", "which docs mention 'Acme Corp'", "build a project timeline") or pass raw SQL. Read-only. Use this when you need exact aggregates/lookups across a document corpus…