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 lsegal/aviary --skill himalayagit clone --depth 1 https://github.com/lsegal/aviaryWrote 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/lsegal/aviary/himalaya)<a href="https://agentmods.dev/skills/lsegal/aviary/himalaya"><img src="https://agentmods.dev/badge/skills/lsegal/aviary/himalaya.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 5.1 | $0.00057 | $0.00485 |
| Opus 5 | $0.00028 | $0.00243 |
| Sonnet 5 | $0.00011 | $0.00097 |
| Haiku 4.5 | $0.00006 | $0.00049 |
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 8d 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
Use this skill to perform email operations through the local himalaya binary.
Read-Only Commands
Inspect mailbox state before making changes:
himalaya account list— show configured accountshimalaya account doctor— diagnose account configurationhimalaya folder list— list mailbox foldershimalaya envelope list --folder INBOX— list messages in a folderhimalaya envelope list --folder INBOX --query "subject:invoice"— search by queryhimalaya envelope thread <envelope-id>— show a message threadhimalaya message read <envelope-id>— read a message bodyhimalaya message export <envelope-id>— export raw message (EML)
State-Changing Commands
Treat these as explicit user-requested actions:
- Flags:
himalaya flag add <id> seen,flag set,flag remove - Messages:
himalaya message copy <id> --to Archive,message move,message delete - Folders:
himalaya folder add <name>,folder delete,folder purge,folder expunge - Send:
himalaya message send --from personal --to [email protected] --subject "Re: meeting",template send,template save
Workflow
- List envelopes:
himalaya envelope list --folder INBOX - Read target message:
himalaya message read <envelope-id> - Act on it (flag, move, reply, delete) only when the user confirms
Confirm before destructive operations (delete, purge, expunge).
Rules
- Preserve envelope IDs, folder names, and account names exactly as returned
- Respect the configured
allowed_commandslist - Default to INBOX unless another folder is specified
- Use
--output jsonfor machine-readable output (appended automatically)
What ships with it
1 file 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.
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.
- 8d ago First seen · 44 lines · 57 tokens per session scan A 52f7aabe0c3e
himalaya is a skill published in the GitHub repository lsegal/aviary (10 stars, last pushed 3d ago), licensed MIT. It adds 57 tokens to every session and 485 once invoked, about $0.0003 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 2026-08-31.
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