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 agentmods add commands/foresthubai/edge-agents/new-nodegit clone --depth 1 https://github.com/ForestHubAI/edge-agentsWhat 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 | $0.00026 | $0.01405 |
| Opus 5 | $0.00013 | $0.00702 |
| Sonnet 5 | $0.00005 | $0.00281 |
| Haiku 4.5 | $0.00003 | $0.00140 |
Grade A, and why
new-node 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 127 lines · 26 tokens per session scan A e2f4c321c4b4
new-node is a command published in the GitHub repository ForestHubAI/edge-agents (101 stars, last pushed 9d ago), licensed AGPL-3.0. It adds 26 tokens to every session and 1,405 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 commands, from other repositories
fix_board
Automatically diagnose and fix PlatformIO board upload/monitor issues.
expert_rmt5
ESP-IDF v5.x RMT5 API expert for LED protocols, encoders, and multi-channel control.
test
Run tests using uv run test.py with optional arguments.
commit
You are tasked with creating git commits for the changes made during this session.
test
Command "test" from jzl-maker/EA-SKILL, covering 命令: /ea test (测试生成与执行), 功能, 触发, 单元测试（unit） and 流程.
help
Command "help" from jzl-maker/EA-SKILL, covering 命令: /ea help (帮助), 功能, 触发, 无参数时 and 有参数时.