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 plugin-systemgit 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/plugin-system)<a href="https://agentmods.dev/skills/kachofugetsu09/akashic-agent/plugin-system"><img src="https://agentmods.dev/badge/skills/kachofugetsu09/akashic-agent/plugin-system/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/plugin-system"><img src="https://agentmods.dev/badge/skills/kachofugetsu09/akashic-agent/plugin-system.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 | $0.00055 | $0.02232 |
| Opus 5.5 | $0.00022 | $0.00893 |
| Sonnet 5.5 | $0.00011 | $0.00446 |
| Haiku 4.5 | $0.00006 | $0.00223 |
Grade A, and why
plugin-system 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 15d 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
安装、更新和卸载 Akashic 插件
先确认用户要改变哪个插件、目标源码版本及允许的副作用。只读询问只查询,不顺手安装、卸载或重启。Skill 只提供说明,不增加权限;只使用本次实际可见的工具。
当前模型
- 插件代码和 Skill/MCP 资源来自固定安装制品,由普通插件注册。内置插件与外部插件走相同的安装、选择和生命周期规则,没有内置特权入口。
PluginSelection保存完整的已选输入;唯一 live Root 中,各插件 Fiber 持有自己的运行资源。已安装、已选中、ACTIVE、业务验证通过是不同事实。- 更新或卸载只排空目标及其实际硬依赖消费者,不重建整个 Root;无关插件、手机连接和任务不应因局部变更被重启。若目标本身承载当前渠道或其依赖,明确告知相关功能可能暂时不可用。
- 旧调用保留原绑定;新版本只服务新取得的调用。不要把旧工具引用当成已经切换,也不要把一轮对话开始当作更新提交时机。
什么时候更新
| 情况 | 应做什么 |
|---|---|
| 用户明确要求安装新能力,或更新指定插件 | 核对来源和版本后,通过正式安装入口提交一次请求。 |
| 已授权修改了插件代码、依赖、SKILL.md 或 MCP 资源 | 在源码仓库验证、commit;远程来源先 push,再重新安装该固定 commit。只改源码不等于线上已更新。 |
| 上游 Git 有新提交,或普通对话开始、Core 重启 | 不自动拉取、安装或升级。重启恢复已提交的选择;上游更新本身不构成授权。 |
| 改了配置 | 按该插件自己的配置接口和生效协议处理;不能承诺改文件后立即生效。安装输入冻结的配置需要显式重新准备/发布。 |
| 需要数据库迁移或同时更换 Core 与多个插件 | 内置更新走停机发行流程,先完成目标 Core/内置 Yoyo,再提交完整选择并启动核验。外置插件自理数据迁移,框架安装/发布/启动均不替它执行 Yoyo。 |
| 安装超时、结果不明或资源关闭失败 | 查询原请求与实际状态,不反复安装、不盲目重启或自动降级旧代码。 |
镜像中带有新版内置插件,不表示正在运行的选择已经采用它。发行升级按来源身份采用内置新版、退出退役代码,并为新增默认项建立首次选择;已有显式停用和历史卸载选择保留。同 ID 外置占用会因共享数据身份而拒绝迁移与发布;替代实现使用独立身份,并明确停用原实现。外置已选版本保持不变,除非部署清单明确更新它。
先找到当前运行时
优先使用实际可见的 plugin_install 工具。状态与卸载使用当前运行时 CLI;不存在名为 plugin_uninstall 的专用模型工具时,不要编造工具调用。
Host Bridge 的 Shell 会提供固定版本启动器 AKASHIC_RUNTIME_CLI,并把 akashic-runtime 加到 PATH。确认它及目标配置/workspace,再只读查询:
"${AKASHIC_RUNTIME_CLI:?需要当前 runtime 启动器}" plugin-status \
--config "${AKASHIC_CONFIG:?需要目标配置}" \
--workspace "${AKASHIC_WORKSPACE:?需要目标 workspace}"
本地运行若没有此启动器,先定位当前服务的源码入口、Python 环境、配置和 workspace,再用对应的 python /绝对路径/main.py 执行同一命令。不要猜开发 checkout、默认 HOME 或系统 Python;不要为管理操作再启动一个 Core。示例中的目标 ID/SHA 必须替换为查询得到的真实值。
安装与更新
- 确认源码根包含 V3
plugin.py,身份为name@marketplace。从源码仓库修改;不要编辑安装 cache、归档或 pointer。指定可获取的完整 Git commit;版本号相同也可能是不同源码。 - 使用可见
plugin_install的真实 schema:source、marketplace、ref,需要时再传sparse。更新已有插件必须沿用其正确身份,避免换 marketplace 意外多装一份。工具自动关联发起消息和结果通知,不传旧的 validation 参数。 - 保存返回的
update_id,按下面的状态分层检查。不要等待当前工具调用自身被排空;收到接单回执后允许本次调用结束,由宿主继续执行。
只有工具不可用且当前任务允许 Shell 管理时,才使用同一个在线 runtime owner 的 CLI:
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.
- 15d ago Changed · +2 lines c49129ed34e3
- 22d ago Changed · -7 lines · +28 tokens per session b3dcd5dd469f
- 1mo ago Changed · +1 lines · -9 tokens per session a3bfd1f8ab61
- 1mo ago First seen · 106 lines · 36 tokens per session scan A bfe1a97a95b5
plugin-system is a skill published in the GitHub repository kachofugetsu09/akashic-agent (511 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 2,232 once invoked, about $0.0002 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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