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 HybridAIOne/hybridclaw --skill himalayagit clone --depth 1 https://github.com/HybridAIOne/hybridclawWrote 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/hybridaione/hybridclaw/himalaya)<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/himalaya"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/himalaya/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/hybridaione/hybridclaw/himalaya"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/himalaya.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00497 |
| Opus 5 | $0.00018 | $0.00249 |
| Sonnet 5 | $0.00007 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
himalaya 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 12d 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
Himalaya Email CLI
Use Himalaya for host-side IMAP and SMTP email workflows when a terminal-native client is the right tool.
Default Workflow
- Verify the CLI:
himalaya --version - If it is missing, tell the user to run:
hybridclaw skill install himalaya brew - Verify accounts:
himalaya account list - If no account exists, run:
himalaya account configure - If multiple accounts exist, use
--account <name>explicitly.
Common Operations
List folders:
himalaya folder list
List message envelopes:
himalaya envelope list --output json
Read a message:
himalaya message read 42
Reply:
himalaya message reply 42
Write and send from a template:
cat <<'EOF' | himalaya template send
From: [email protected]
To: [email protected]
Subject: Follow-up
Draft body here.
EOF
Download attachments:
himalaya attachment download 42 --dir /tmp/himalaya-attachments
Rules
- Draft first, send second. Show the planned email body before sending.
- Confirm before send, delete, move, or forward operations.
- Prefer
--output jsonwhen you need machine-readable search or list results. - If the user only wants a summary of already ingested email threads, prefer
channel-catchup. - Keep account selection explicit when there is any ambiguity.
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.
- 12d ago First seen · 100 lines · 36 tokens per session scan A 4c9a6447e93a
himalaya is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 497 once invoked, about $0.0002 per session on Opus 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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