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 AIOSAI/AIPass --skill inbox_checkgit clone --depth 1 https://github.com/AIOSAI/AIPassWrote 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/aiosai/aipass/inbox_check)<a href="https://agentmods.dev/skills/aiosai/aipass/inbox_check"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/inbox_check/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/aiosai/aipass/inbox_check"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/inbox_check.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 | $0.00014 | $0.00278 |
| Opus 5 | $0.00007 | $0.00139 |
| Sonnet 5 | $0.00003 | $0.00056 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
inbox_check 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 9d 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
Inbox Check Skill
Scan AIPass branches for .ai_mail.local/inbox.json files and report unread message counts. Useful for quickly seeing which branches have pending mail without visiting each one.
Available Actions
| Action | Description |
|---|---|
summary |
Unread counts per branch (default) |
all |
Full message listing for every branch |
| branch | Show inbox for a specific branch by name |
Usage
drone @skills run inbox_check summary
drone @skills run inbox_check all
drone @skills run inbox_check flow
Output Format
All actions return structured dicts:
{"success": True, "output": "...", "error": None}
Notes
- Reads
.ai_mail.local/inbox.jsonfrom each branch directory - Messages with
"status": "new"are counted as unread - Missing inbox files are silently skipped in summary mode
- No external dependencies -- stdlib only
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.
- 9d ago First seen · 47 lines · 14 tokens per session scan A 61e7d1599a72
inbox_check is a skill published in the GitHub repository AIOSAI/AIPass (274 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 278 once invoked, about $0.0001 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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