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 agentmods add skills/datacore-one/datacore/outboxnpx skills add datacore-one/datacore --skill outboxgit clone --depth 1 https://github.com/datacore-one/datacoreWrote 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/datacore-one/datacore/outbox)<a href="https://agentmods.dev/skills/datacore-one/datacore/outbox"><img src="https://agentmods.dev/badge/skills/datacore-one/datacore/outbox.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 | $0.00017 | $0.00283 |
| Opus 5 | $0.00009 | $0.00142 |
| Sonnet 5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
Outbox for Datacore 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 today.
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
Outbox for Datacore
Content routing out of active workspaces — archive historical documents to server storage, search archived content remotely.
What This Module Provides
Tools (MCP):
datacore.outbox.pending— List items pending in outbox across spacesdatacore.outbox.archive_search— Search archived content on server
Skills:
- Archive search
Agents:
outbox-processor— Routes outbox content to destinationsarchive-indexer— Maintains archive search index
Commands:
/outbox— Process outbox queue
When to Use
Triggers: outbox, archive, routing, lifecycle, disposal.
What ships with it
13 files 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.
- .gitignore 212 B
- agents/archive-indexer.md 7.7 KB
- agents/outbox-processor.md 7.8 KB
- CLAUDE.base.md 2.5 KB
- commands/archive-search.md 5.6 KB
- commands/outbox.md 7.1 KB
- lib/archive_search.py 17 KB runs code
- lib/archive_sync.py 22 KB runs code
- module.yaml 1.7 KB
- README.md 1018 B
- skills/archive-search/SKILL.md 395 B
- templates/outbox-routing.yaml 1.1 KB
- tools/index.js 4.5 KB runs code
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.
- today First seen · 44 lines · 17 tokens per session scan A cd900b9faec4
Outbox for Datacore is a skill published in the GitHub repository datacore-one/datacore (4 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 283 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 2026-09-03.
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