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 aAAaqwq/AGI-Super-Team --skill coding-agent-orchestratorgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/coding-agent-orchestrator)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/coding-agent-orchestrator"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/coding-agent-orchestrator.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00334 |
| Opus 5 | $0.00000 | $0.00167 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
coding-agent-orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
coding-agent-orchestrator
编码 Agent 编排调度——解析 Claude CLI 和 ACPX 二进制路径，支持多编码 Agent 协同
使用场景
- 在多 Agent 环境中调度 Claude Code 或 ACPX 编码 Agent
- 自动解析编码 Agent 可执行文件路径（支持环境变量覆盖、本地安装、系统 PATH）
- 作为 coding workflow 的底层 CLI 解析器
使用方法
# 在 shell 脚本中 source 使用
source ~/clawd/skills/coding-agent-orchestrator/scripts/lib/resolve-cli.sh
# 解析 Claude CLI 路径
claude_bin=$(resolve_claude_bin)
echo "Claude: $claude_bin"
# 解析 ACPX 路径
acpx_bin=$(resolve_acpx_bin)
echo "ACPX: $acpx_bin"
# 环境变量覆盖
export CODING_AGENT_CLAUDE_BIN=/custom/path/to/claude
export CODING_AGENT_ACPX_CMD=/custom/path/to/acpx
路径解析优先级
- 环境变量
CODING_AGENT_CLAUDE_BIN/CODING_AGENT_ACPX_CMD ~/.claude/local/claude（本地安装）- 系统 PATH（
which claude/which acpx）
配置要求
- Bash
- Claude Code 或 ACPX 已安装（至少一个）
相关文件
scripts/lib/resolve-cli.sh— CLI 路径解析器
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 First seen · 38 lines · 0 tokens per session scan A 17d5edab9faf
coding-agent-orchestrator is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 334 tokens. 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 2026-09-05.
Other skills, from other repositories
deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
root-cause
Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.
review-deep
Drive the deep-review phase of an automated PR review. Consumes the walkthrough, runs the deterministic deep-review workflow (parallel lenses → adversarial validation → code-enforced threshold/caps), drafts the surviving findings, and completes the review run.
code-tour
Maintain docs/code-tour.md — the annotated guided reading of Aigon's core logic. Use when you have changed code the tour quotes, added a subsystem a new reader would need, or the user says "update the code tour", "the tour is stale", "add X to the code tour", or asks to review/refresh the code examples doc.
aigon-next
Suggest the most likely next workflow action based on current context.
aigon-research-do
Do research - agent writes findings.