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 agent-model-switchergit 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/agent-model-switcher)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/agent-model-switcher"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-model-switcher/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/aaaaqwq/agi-super-team/agent-model-switcher"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/agent-model-switcher.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 | $0.00027 | $0.00708 |
| Opus 5 | $0.00014 | $0.00354 |
| Sonnet 5 | $0.00005 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
agent-model-switcher 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 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.
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
Agent Model Switcher
批量切换所有子 agent 的模型配置。
用途
- 批量更换所有子 agent 的 model
- 同步所有 agent 的 models.json 配置
- 查看所有 agent 当前的 model 配置
使用方式
1. 查看所有 agent 的 model 配置
python3 ~/clawd/skills/agent-model-switcher/switch_model.py list
2. 更换所有子 agent 的 model（不包括 main）
python3 ~/clawd/skills/agent-model-switcher/switch_model.py set <provider>/glm-5
3. 更换指定 agent 的 model
python3 ~/clawd/skills/agent-model-switcher/switch_model.py set <provider>/glm-5 --agents code,ops,quant
4. 同步所有 agent 的 models.json（从 main 复制）
python3 ~/clawd/skills/agent-model-switcher/switch_model.py sync-models
5. 同步指定 agent 的 models.json
python3 ~/clawd/skills/agent-model-switcher/switch_model.py sync-models --agents batch,law,xiaotu
参数说明
| 参数 | 说明 |
|---|---|
list |
列出所有 agent 的 model 配置 |
set <model> |
设置 agent 的 model |
sync-models |
从 main 复制 models.json 到其他 agent |
--agents <names> |
指定要操作的 agent（逗号分隔） |
--include-main |
包括 main agent（默认不包括） |
--dry-run |
只显示将要执行的操作，不实际执行 |
常用模型
| 别名 | 完整名称 |
|---|---|
| glm5 | /glm-5 |
| glm47 | /glm-4.7 |
| opus46 | /claude-opus-4-6 |
| sonnet46 | /claude-sonnet-4-6 |
| kimi | /kimi-k2.5 |
示例
# 查看当前配置
python3 ~/clawd/skills/agent-model-switcher/switch_model.py list
# 全部子 agent 切换到 glm-5
python3 ~/clawd/skills/agent-model-switcher/switch_model.py set glm5
# 只切换 code 和 quant 到 opus-4-6
python3 ~/clawd/skills/agent-model-switcher/switch_model.py set opus46 --agents code,quant
# 同步 models.json 配置
python3 ~/clawd/skills/agent-model-switcher/switch_model.py sync-models
注意事项
- 修改配置后，agent 需要重新启动或等待新 session 才能生效
- 同步 models.json 会覆盖目标 agent 的 models.json，确保 main 的配置是最新的
- 建议先用
--dry-run查看将要执行的操作
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.
- 10d ago First seen · 90 lines · 27 tokens per session scan A cb99904a42a3
agent-model-switcher is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 708 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 2026-08-30.
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.
guidance
Add, edit, or audit guidance docs. Default writes guidance for Claude (.claude/guidance/, Markdown, moflo universal rules). -h writes for human readers (docs/, lighter ruleset). --html emits HTML with a minimal default stylesheet instead of Markdown. -a audits the .claude/guidance/ directory.
eldar
Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…
aigon-next
Suggest the most likely next workflow action based on current context.
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.