NanoClaw is an AI assistant that runs agents inside separate Linux containers, isolating their files and execution environments. People use it to connect agents to messaging services and run assistants with memory and scheduled jobs. The catalogue contains skills and instructions for extending or operating NanoClaw.
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 nanocoai/nanoclaw --skill slack-construct-agentsgit clone --depth 1 https://github.com/nanocoai/nanoclawWrote 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/nanocoai/nanoclaw/slack-construct-agents)<a href="https://agentmods.dev/skills/nanocoai/nanoclaw/slack-construct-agents"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/slack-construct-agents/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/nanocoai/nanoclaw/slack-construct-agents"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/slack-construct-agents.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 | $0.00053 | $0.00269 |
| Opus 5.5 | $0.00021 | $0.00108 |
| Sonnet 5.5 | $0.00011 | $0.00054 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
slack-construct-agents 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
Slack construct — sibling agents
This skill is a carrier for standing context, not an on-demand workflow. Its
payload is instructions.md in this directory: the rules an agent needs when
it shares Slack with sibling agents it can create (create_agent) and room
with (create_room / add_to_room) — team-room shape, who posts the
introduction, and the bot-to-bot self-limit.
The host composes every container skill's instructions.md into each group's
CLAUDE.md at spawn (src/project-doc-compose.ts), so if you are reading this
from inside a session, those rules are already part of your standing
instructions. There is nothing further to load or run here.
The room-and-canvas half of the Slack standing context (mention engagement,
canvas discipline, access rules) ships separately with the Slack channel
payload as the slack-construct skill; this fragment layers the
sibling-agent rules on top and arrives with the slack-agent-flow skill.
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.
- 1mo ago First seen · 23 lines · 53 tokens per session scan A 103f6d49635d
slack-construct-agents is a skill published in the GitHub repository nanocoai/nanoclaw (30,980 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 269 once invoked, about $0.0002 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 2026-09-02.
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