AgentTeams is a runtime platform where multiple AI agents collaborate in shared Matrix rooms under the coordination of a manager. It is for human-supervised or enterprise workflows that need visible, auditable cooperation among agents running on different runtimes, with shared files and centralized traffic management.
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/agentscope-ai/AgentTeamsnpx agentmods add skills/agentscope-ai/agentteams/coding-cli-managementWrote 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/agentscope-ai/agentteams/coding-cli-management)<a href="https://agentmods.dev/skills/agentscope-ai/agentteams/coding-cli-management"><img src="https://agentmods.dev/badge/skills/agentscope-ai/agentteams/coding-cli-management/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/agentscope-ai/agentteams/coding-cli-management"><img src="https://agentmods.dev/badge/skills/agentscope-ai/agentteams/coding-cli-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 System Prompt Leakage · line 111 Skill contains patterns that exfiltrate system prompts or internal instructions via tool calls (file writes, network requests, logging).Fix: Prevent system prompts from being written to files, sent via network, or logged. Treat system instructions as confidential and filter them from all tool outputs.
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 | $0.00067 | $0.07558 |
| Opus 5.5 | $0.00027 | $0.03023 |
| Sonnet 5.5 | $0.00013 | $0.01512 |
| Haiku 4.5 | $0.00007 | $0.00756 |
Grade E, and why
coding-cli-management scanned grade E with 3 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 2d 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.
Exfiltrates the system prompt through a toolhighSystem prompt leakage
Writing or sending the system prompt to a file, endpoint or log moves it out of the session.
# 4. Save prompt to file Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
| official standalone script: `curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh \| bash` (Windows: `irm …install-qwen-standalone.ps1 \| iex`) | bash, no Node | the Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| official standalone script: `curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen-standalone.sh \| bash` (Windows: `irm …install-qwen-standalone.ps1 \| iex`) | bash, no Node | the How it starts
The opening of the file, as written. The whole thing — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coding CLI Management
This skill enables the delegating agent (Manager, team Leader, or an authorized Worker) to execute AI coding CLI tools (claude/gemini/qodercli/qwen/opencode) on behalf of Workers. Workers generate precise prompts; the delegating agent runs the CLI in the Worker's workspace and returns the result.
Operational guidance distilled from field operation, in two parts, both detailed in references/delegation-guidance.md — Part A (first increment, currently supported): task-spec discipline, auth and execution boundary, preflight checks (including runner placement), and a pitfalls list; Part B (later capabilities, not yet implemented, evaluated separately): supervision and steering (including the delivery and wake contract), approval expectations, and a pitfalls list.
Config File
Path: ~/coding-cli-config.json — this is the delegating agent's own config file (the agent running this skill), not a shared one.
{
"enabled": true,
"cli": "claude",
"confirmed_at": "2026-02-23T10:00:00Z"
}
enabled |
cli |
Meaning |
|---|---|---|
false |
any | Admin declined; use normal task flow |
true |
"claude" / "gemini" / "qodercli" / "qwen" / "opencode" |
Active — use this CLI |
Optional budget / execution-boundary fields (consumed by run-coding-cli.sh for qwen only — the other runners have no equivalent and ignore them):
| Field | Type / default | Meaning |
|---|---|---|
max_session_turns |
integer, default absent / 0 (flag not passed) |
Caps the qwen run at N model turns (--max-session-turns <N>); a run that reaches the cap terminates at the budget |
sandbox |
boolean, default false |
Adds --sandbox (Docker-backed) to the qwen run. Requires docker at the execution site — leave off where docker is unavailable (as in many agent containers) |
approval_mode |
string, default yolo |
Approval tier for the qwen run: yolo → --yolo (the default, byte-identical to the pre-boundary wrapper); plan / default / auto-edit / auto → --approval-mode <tier>. In a non-interactive one-shot run only yolo and plan actually work — the ask tiers stall (see Execution boundary below). An invalid value fails the run with the valid values listed; there is no silent fallback |
max_wall_time |
string, default absent (flag not passed) | Native qwen wall budget → --max-wall-time <val> (qwen value formats: 90 / 30s / 5m / 1h / 1.5h); qwen aborts an over-budget run with exit code 55. The wrapper's --timeout remains the hard backstop for all runners |
What ships with it
4 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.
- 2d ago Changed · +31 lines ccca7bf2d6e2
- 4d ago Changed · +140 lines · +21 tokens per session scan C → E d59e36ef4334
- 1mo ago First seen · 201 lines · 46 tokens per session scan C ee129ecfdc36
coding-cli-management is a skill published in the GitHub repository agentscope-ai/AgentTeams (5,768 stars, last pushed yesterday), licensed Apache-2.0. It adds 67 tokens to every session and 7,558 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it E with 3 findings (exfiltrates the system prompt through a tool, downloads and executes remote code, 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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