Borrowing it
Nothing to install: this file belongs to AXERA-TECH/Magnetar. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AXERA-TECH/Magnetar/main/.codex/skills/magnetar/hidden/toolchain/SKILL.mdgit clone --depth 1 https://github.com/AXERA-TECH/MagnetarWrote 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/axera-tech/magnetar/toolchain)<a href="https://agentmods.dev/skills/axera-tech/magnetar/toolchain"><img src="https://agentmods.dev/badge/skills/axera-tech/magnetar/toolchain/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/axera-tech/magnetar/toolchain"><img src="https://agentmods.dev/badge/skills/axera-tech/magnetar/toolchain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00034 | $0.00667 |
| Opus 5.5 | $0.00014 | $0.00267 |
| Sonnet 5.5 | $0.00007 | $0.00133 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
toolchain 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
TOOLCHAIN
执行
pulsar_image = magnetar.stages.toolchain.run()
LLM 分支（model_route=llm）
- 额外确认
pulsar2 llm_build2 -h可用（Pulsar2 ≥ 6.0）；不可用 → blocked， 提示升级独立包（./scripts/install_pulsar2.sh默认自动获取最新发布版）； - 准备 ax-llm-build 工具：
magnetar.stages.llm.ensure_axllm_build_tools(task_dir)（默认经GH_PROXY克隆https://github.com/AXERA-TECH/ax-llm-build.git到TASK_DIR/cache/ax-llm-build）； - Pulsar2 只使用独立安装包（强制不用 Docker）：未设置
PULSAR2_HOME时，magnetar.pulsar2_util.ensure_pulsar2_package自动获取最新发布版*_package.tar.gz并解压到~/.cache/magnetar/pulsar2/<版本>/（仓库AXERA-TECH/Pulsar2：下载 URL ModelScope 优先、hf-mirror 兜底；PULSAR2_VERSION可固定版本、PULSAR2_PACKAGE=lite|full可选变体）； - BSP/runtime 下载地址以 ax-pipeline
scripts/build_common.sh为唯一来源 （按芯片取MSP_URL_DEFAULT/TOOLCHAIN_URL_DEFAULT，CXX_BSP_URL/CXX_TOOLCHAIN_URL可覆盖），不再去 ax-knowledge / ModelScope 翻 SDK 直链； - 记录板端 axllm 安装方式（官方
install.sh，axllm 分支）到 task.md。
验证
- Pulsar2 独立包可用（
bin/pulsar2存在且pulsar2 --version正常，非 Docker） - C++ BSP 交叉编译器存在（AX650: msp_50 + Arm GNU 9.2 aarch64；AX630C: msp_20e + Arm GNU 9.2 aarch64；AX620Q/AX620E: msp_20e + ax620q_bsp_sdk uclibc）
- LLM 分支：
pulsar2 llm_build2 -h正常；ax-llm-build 工具就绪
STOP
- Pulsar2 独立包不可用且无法从 ModelScope/HF AXERA-TECH/Pulsar2 获取
- BSP/交叉编译器缺失且无法下载
- LLM 分支：Pulsar2 无
llm_build2且无法升级 → blocked
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 Changed · +4 lines 387eaa6250cc
- 2mo ago First seen · 34 lines · 34 tokens per session scan A 9862ad5f6ef8
toolchain is a skill published in the GitHub repository AXERA-TECH/Magnetar (22 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 667 once invoked, about $0.0001 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 2026-08-30.
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