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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/nanocoai/nanoclawnpx agentmods add skills/nanocoai/nanoclaw/add-teamsWrote 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/add-teams)<a href="https://agentmods.dev/skills/nanocoai/nanoclaw/add-teams"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/add-teams/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/add-teams"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/add-teams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 92 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 99 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 177 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Data Exfiltration · line 294 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 302 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00013 | $0.07096 |
| Opus 5 | $0.00006 | $0.03548 |
| Sonnet 5 | $0.00003 | $0.01419 |
| Haiku 4.5 | $0.00001 | $0.00710 |
Grade B, and why
add-teams scanned grade B with 2 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 10d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -sf -X POST "https://smba.trafficmanager.net/teams/v3/conversations" -H "Authorization: Bearer {{bot_token}}" -H "Content-Type: application/json" -d '{"bot":{"id":"28:{{app_id}}"},"members":[{"id":"{{owner_aad_id}}" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sf -X POST "https://login.microsoftonline.com/{{app_tenant_id}}/oauth2/v2.0/token" --data-urlencode "grant_type=client_credentials" --data-urlencode "client_id={{app_id}}" --data-urlencode "client_secret={{app_pass How it starts
The opening of the file, as written. The whole thing — 585 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Microsoft Teams Channel
Adds Microsoft Teams support via the Chat SDK bridge — interactive chat in team
channels, group chats, and direct messages. NanoClaw doesn't ship channels in
trunk — this skill copies the Teams adapter in from the channels branch.
The mechanical steps under Apply carry nc: directive fences: an agent
reads the prose and applies them, and a parser can apply them deterministically
from the same document. Every directive is idempotent, so the whole skill is
safe to re-run; anything a parser can't apply falls back to the prose beside it.
Teams has no "paste a token" shortcut — a bot has to exist in Microsoft's cloud before it can receive a message. The Microsoft Teams CLI collapses that into one sign-in and one create command: it registers the Entra app, generates the client secret, registers a Teams-managed bot (through the Teams Developer Portal — no Azure subscription needed), uploads the app package, and hands back an install link. The old ~7-step Azure portal walk survives only as a fallback in Alternatives for tenants where the Developer Portal is blocked.
Apply
1. Copy the adapter and its registration test
Fetch the channels branch and copy the Teams adapter and its registration test
into src/channels/ (overwrite — the branch is canonical):
src/channels/teams.ts
src/channels/teams-registration.test.ts
2. Register the adapter
Append the self-registration import to the channel barrel (skipped if the line is already present). This one line is the skill's only reach-in into core:
import './teams.js';
3. Install the adapter package
Pinned to an exact version — the supply-chain policy rejects ranges and latest:
@chat-adapter/[email protected]
4. Build and validate
Build first: it guards the typed createChatSdkBridge(...) core call and proves
the dependency is installed. Then run the one integration test.
What ships with it
2 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.
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.
- 10d ago First seen · 585 lines · 13 tokens per session scan B 7bfe7e1c3ec7
add-teams is a skill published in the GitHub repository nanocoai/nanoclaw (30,736 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 7,096 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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