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 kachofugetsu09/akashic-agent --skill akashic-callgit clone --depth 1 https://github.com/kachofugetsu09/akashic-agentWrote 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/kachofugetsu09/akashic-agent/akashic-call)<a href="https://agentmods.dev/skills/kachofugetsu09/akashic-agent/akashic-call"><img src="https://agentmods.dev/badge/skills/kachofugetsu09/akashic-agent/akashic-call/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/kachofugetsu09/akashic-agent/akashic-call"><img src="https://agentmods.dev/badge/skills/kachofugetsu09/akashic-agent/akashic-call.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 | $0.00076 | $0.00634 |
| Opus 5 | $0.00038 | $0.00317 |
| Sonnet 5 | $0.00015 | $0.00127 |
| Haiku 4.5 | $0.00008 | $0.00063 |
Grade A, and why
akashic-call 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 9d 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
调用 Akashic
定位
把已运行 gateway 中固定模型、固定 workspace 的 Akashic 作为可程序化调用 Agent。Thread 是持久
session，Turn 是一轮对话；CLI、SDK 和 JSON-RPC 与 Telegram/WebUI 共用正式 Agent runtime、
历史、记忆、工具和插件。
这不是模型/profile 切换能力，也不为每次调用启动新 runtime。
硬边界
- 调用方必须在目标 Akashic runtime 外部；gateway 应已运行。不要为调用再启动同 workspace owner。
- 当前 Akashic turn 内禁止同步执行同 workspace 的
python main.py exec：全局串行 admission 会让 当前 turn 等待自己释放执行权，形成自死锁。此时只生成外部调用命令或代码，不要代为执行。 - Akashic 调用另一 Akashic 时，目标必须是不同 workspace、不同 runtime endpoint。
- 自动化续聊必须保存并传入明确
threadId；禁止使用--last一类依赖隐式最近会话的选择方式。 - 恢复
telegram:*thread 只复用历史。程序化结果返回调用方，不会自动发送到 Telegram。
选择入口
- 外部 Codex、shell、cron：优先 CLI；机器消费用
--json，只取回答用--final-only。 - Python 服务：优先
akashic_sdk，保存thread.id后用thread_resume()持续对话。 - 非 Python 集成：使用 JSON-RPC 2.0 NDJSON；先
initialize，再发initialized。
先确认调用方掌握 repo 路径、固定 endpoint，以及续聊所需的明确 threadId。新建 session 后立即把
返回的 thread ID 持久化，再发后续 turn。连接断开不会取消服务端 turn，可重连后用 turn/read 查询。
可复制的 CLI、Python SDK 和原始 JSON-RPC 示例见
references/external-caller.md。可直接运行的 Unix socket 原始协议客户端见
examples/raw_jsonrpc_uds.py。
What ships with it
2 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.
- 9d ago First seen · 40 lines · 76 tokens per session scan A 2970e1393598
akashic-call is a skill published in the GitHub repository kachofugetsu09/akashic-agent (488 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 634 once invoked, about $0.0004 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.
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