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/AGoldian/claudenvWrote 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/agoldian/claudenv/canon)<a href="https://agentmods.dev/commands/agoldian/claudenv/canon"><img src="https://agentmods.dev/badge/commands/agoldian/claudenv/canon/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/agoldian/claudenv/canon"><img src="https://agentmods.dev/badge/commands/agoldian/claudenv/canon.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 | $0.00024 | $0.00302 |
| Opus 5.5 | $0.00010 | $0.00121 |
| Sonnet 5.5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
canon 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.
What it actually says
/canon — Личный канон ссылок
Wrapper над claudenv canon CLI.
Routing
Разбери $ARGUMENTS:
- пусто или
list→claudenv canon list list <topic>→claudenv canon list <topic>search <query>→claudenv canon search "<query>"add <topic> <url> --why "<reason>"→claudenv canon add <topic> <url> --why "<reason>"- иначе если выглядит как topic slug →
claudenv canon list <slug> - иначе →
claudenv canon search "$ARGUMENTS"
Output
Печатай stdout как есть. На non-zero exit code покажи stderr и подскажи usage.
Когда канон пуст
Если claudenv canon list ничего не вернул:
Канон пока пуст. Добавь первые записи когда будешь делать /deeper —
после deep dive предложу `claudenv canon add <topic> <url> --why "..."`.
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 · 34 lines · 0 tokens per session scan A 098d14bcde61
canon is a command published in the GitHub repository AGoldian/claudenv (10 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 302 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
build-corpus
Use when the user invokes /goal-flight build-corpus to build or refresh the private Goal Flight dispatch-context corpus.
sugar-recall
Search Sugar's memory for relevant context.
sugar-remember
Store a learning, decision, or preference in Sugar's memory.
sugar-context
Load project context from Sugar's memory at session start.
neural-config
Command "neural-config" from Yakoub-ai/neural-memory, covering neural memory — configuration, available actions, how to call, view config and set indexing mode.
neural-index
Build the complete neural memory knowledge graph for this codebase.