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.
git clone --depth 1 https://github.com/aiflowlearn/zero2claudeWrote 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/aiflowlearn/zero2claude/explain)<a href="https://agentmods.dev/commands/aiflowlearn/zero2claude/explain"><img src="https://agentmods.dev/badge/commands/aiflowlearn/zero2claude/explain/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/commands/aiflowlearn/zero2claude/explain"><img src="https://agentmods.dev/badge/commands/aiflowlearn/zero2claude/explain.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 | $0.00000 | $0.00018 |
| Opus 5.5 | $0.00000 | $0.00007 |
| Sonnet 5.5 | $0.00000 | $0.00004 |
| Haiku 4.5 | $0.00000 | $0.00002 |
Grade A, and why
explain 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 1 lines · 0 tokens per session scan A 8d41116e0e8b
explain is a command published in the GitHub repository aiflowlearn/zero2claude (1 stars, last pushed 4mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 18 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 2026-08-31.
Other commands, from other repositories
clarify
A clarification command that asks up to five focused questions about an unfinished feature specification. A feature specification is the written description of what a software change should do.
constitution
A command for creating or updating a project's constitution, a document that records its governing principles and working rules, in Simplified Chinese.
audit-quiz-coverage
Find quiz coverage gaps from recent guide/CHANGELOG/CC-releases changes and propose new questions.
plan
A command that runs an implementation-planning workflow and creates design documents from a feature specification. Its generated documents and user-facing summaries are written in simplified Chinese.
ccc-compound
Capture the patterns, corrections and decisions from the work just done into tasks/lessons.md, or review and prune existing lessons. Use after finishing a task or when the user says compound, lessons or retro.
poc
Modo Prueba de Concepto para validar viabilidad técnica antes de comprometer implementación completa.