Orca CLI
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覆盖 Blade 的模型目录、Provider 通道、pi-ai 请求适配以及恢复、准入和观测运行链. An agent skill from echoVic/blade-code.
Install Knowledge Model And Provider Runtime
$ npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install echoVic/blade-code knowledge-model-and-provider-runtime --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/echoVic/blade-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.trae/knowledges/model-and-provider-runtime .claude/skills/knowledge-model-and-provider-runtime && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "knowledge-model-and-provider-runtime" agent skill from https://github.com/echoVic/blade-code/tree/main/.trae/knowledges/model-and-provider-runtime into .claude/skills/knowledge-model-and-provider-runtime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-model-and-provider-runtime", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/echoVic/blade-code/tree/main/.trae/knowledges/model-and-provider-runtimeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install echoVic/blade-code knowledge-model-and-provider-runtime --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/echoVic/blade-code.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.trae/knowledges/model-and-provider-runtime .agents/skills/knowledge-model-and-provider-runtime && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "knowledge-model-and-provider-runtime" agent skill from https://github.com/echoVic/blade-code/tree/main/.trae/knowledges/model-and-provider-runtime into .agents/skills/knowledge-model-and-provider-runtime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-model-and-provider-runtime", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install echoVic/blade-code knowledge-model-and-provider-runtime --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/echoVic/blade-code.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.trae/knowledges/model-and-provider-runtime .cursor/skills/knowledge-model-and-provider-runtime && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "knowledge-model-and-provider-runtime" agent skill from https://github.com/echoVic/blade-code/tree/main/.trae/knowledges/model-and-provider-runtime into .cursor/skills/knowledge-model-and-provider-runtime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-model-and-provider-runtime", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/echoVic/blade-code.git --path .trae/knowledges/model-and-provider-runtime--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install echoVic/blade-code knowledge-model-and-provider-runtime --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/echoVic/blade-code.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.trae/knowledges/model-and-provider-runtime .gemini/skills/knowledge-model-and-provider-runtime && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "knowledge-model-and-provider-runtime" agent skill from https://github.com/echoVic/blade-code/tree/main/.trae/knowledges/model-and-provider-runtime into .gemini/skills/knowledge-model-and-provider-runtime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-model-and-provider-runtime", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install echoVic/blade-code knowledge-model-and-provider-runtimeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/echoVic/blade-code.git skills-src && mkdir -p .github/skills && cp -r skills-src/.trae/knowledges/model-and-provider-runtime .github/skills/knowledge-model-and-provider-runtime && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "knowledge-model-and-provider-runtime" agent skill from https://github.com/echoVic/blade-code/tree/main/.trae/knowledges/model-and-provider-runtime into .github/skills/knowledge-model-and-provider-runtime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-model-and-provider-runtime", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install echoVic/blade-code knowledge-model-and-provider-runtime --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/echoVic/blade-code.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.trae/knowledges/model-and-provider-runtime .opencode/skills/knowledge-model-and-provider-runtime && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "knowledge-model-and-provider-runtime" agent skill from https://github.com/echoVic/blade-code/tree/main/.trae/knowledges/model-and-provider-runtime into .opencode/skills/knowledge-model-and-provider-runtime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-model-and-provider-runtime", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
knowledge-model-and-provider-runtime- GitHub stars
- 180
- Token cost
- ~1.2k tokens
- SKILL.md length
- 240 words
- Files
- 1
- Skills in repo
- 38
- Repo updated
- First seen
- Licence
- MIT
At a glance
覆盖 Blade 的模型目录、Provider 通道、pi-ai 请求适配以及恢复、准入和观测运行链. An agent skill from echoVic/blade-code.
- Tasks that involve Session handoff
- SKILL.md covers Module Structure, Gotchas, Architecture and Decisions, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Knowledge Model And Provider Runtime is an agent skill from echoVic/blade-code. 覆盖 Blade 的模型目录、Provider 通道、pi-ai 请求适配以及恢复、准入和观测运行链。 Navigate when: 新增或切换模型与 Provider、调试请求负载或流事件、排查 fallback、重试、 熔断、排队、Prompt Cache 或费用问题。Excludes: Session 模型资源快照与 Workspace Trust（见 workspace-policy-and-shared-foundations/），Agent 轮次消费与压缩策略（见 agent-execution-and-orchestration/ 和 session-state-and-context/）。Keywords: PiAIChatService, PiModelCatalog, resolveModelConfig, provider retry, circuit breaker, admission, fallback, prompt cache, pricing.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Session handoff. The repository describes itself as: AI-powered CLI coding agent with 20+ built-in tools, MCP support, and multi-model providers. The licence is MIT.
When your agent uses it
- Tasks that involve Session handoff
Example prompts
- “/knowledge-model-and-provider-runtime”
What it can do on your machine
Read from SKILL.md and the folder at commit 30f8684. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Knowledge Model And Provider Runtime loads about 1.2k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 240 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from echoVic/blade-code at commit 30f8684, republished under its MIT licence (© echoVic). 240 words, ~1,156 tokens.
Download SKILL.mdSave it as
.claude/skills/knowledge-model-and-provider-runtime/SKILL.md (or your agent's skills folder).- name
- knowledge-model-and-provider-runtime
- description
- 覆盖 Blade 的模型目录、Provider 通道、pi-ai 请求适配以及恢复、准入和观测运行链。 Navigate when: 新增或切换模型与 Provider、调试请求负载或流事件、排查 fallback、重试、 熔断、排队、Prompt Cache 或费用问题。Excludes: Session 模型资源快照与 Workspace Trust（见 workspace-policy-and-shared-foundations/），Agent 轮次消费与压缩策略（见 agent-execution-and-orchestration/ 和 session-state-and-context/）。Keywords: PiAIChatService, PiModelCatalog, resolveModelConfig, provider retry, circuit breaker, admission, fallback, prompt cache, pricing.
Module Structure
该域把用户配置解析为 Session 绑定的 pi-ai 模型，将 Blade 消息与工具契约适配为 Provider 请求，并在物理流外围统一实施故障恢复、容量保护和运行态观测。
Directory Layout
packages/cli/src/services/ChatServiceInterface.ts— Blade 内部消息、请求、响应和 Provider 生命周期事件契约packages/cli/src/services/PiAIChatService.ts— 统一聊天服务、fallback 与物理请求编排packages/cli/src/services/PiCatalogService.ts— Provider/模型目录查询门面packages/cli/src/services/pi/— pi-ai 目录、上下文、请求、流、重试、熔断、准入和缓存适配packages/cli/src/config/modelIds.ts— 可读模型配置 ID 生成与旧 ID 迁移packages/cli/src/config/modelProviders.ts— 自定义 Provider 通道验证packages/cli/src/config/providerCircuitBreaker.ts— 熔断配置边界packages/cli/src/config/providerRequestAdmission.ts— Provider 准入配置边界packages/cli/src/config/foregroundProviderRecovery.ts— 前台恢复预算边界
Key Entry Points
resolveModelConfig()inpackages/cli/src/services/pi/resolveModelConfig.ts— 将模型记录、全局配置和能力选择冻结为运行时配置createChatServiceAsync()inpackages/cli/src/services/ChatServiceInterface.ts— 合并 Provider 默认请求头并创建唯一聊天实现PiAIChatService.streamChat()inpackages/cli/src/services/PiAIChatService.ts— 编排上下文转换、准入、熔断、物理流、重试与 fallbackPiModelCataloginpackages/cli/src/services/pi/PiModelCatalog.ts— 维护内置、兼容和自定义 Provider 的模型视图
Gotchas
ChatConfig同时携带可序列化设置和modelCatalog、providerCircuitRegistry、providerRequestAdmissionScheduler三个运行时对象；后者明确禁止进入配置、事件或会话持久化 (packages/cli/src/services/ChatServiceInterface.ts)- Session 的模型目录是不可变工作区快照而熔断器和启用后的准入器是进程共享协调器；把三者统一成全局单例会串扰项目 endpoint，把三者都改成 Session 私有又会失去跨 Session 故障与容量协调 (
packages/cli/src/agent/resources/WorkspaceModelResources.ts,packages/cli/src/services/PiAIChatService.ts) - 跨 Provider fallback 不继承主通道的 API key、base URL、headers、service tier 或 verbosity；只有同 Provider 且 fallback 未解析出独立 channel 时才继承主通道字段 (
packages/cli/src/services/PiAIChatService.ts)
Architecture
- 配置链固定为
ModelConfig→resolveModelConfig()→ChatConfig→createChatServiceAsync()→PiAIChatService；模型能力先由 catalog 校验，再由请求适配器映射为各 wire API 的参数 (packages/cli/src/services/pi/resolveModelConfig.ts,packages/cli/src/services/ChatServiceInterface.ts,packages/cli/src/services/pi/requestOptions.ts) chat()不是另一套非流式实现，而是消费streamChat()并聚合正文、reasoning、工具调用、usage 与 finish reason，因此恢复和重放边界只需在流式路径维护 (packages/cli/src/services/PiAIChatService.ts)- 物理请求顺序是 circuit preflight → 可选 admission → 原子 circuit check/probe claim → Provider iterator → circuit outcome → permit/token 释放；重试等待和 fallback 选择发生在 permit 外 (
packages/cli/src/services/PiAIChatService.ts,docs/reference/model-transport-recovery.md)
Decisions
- 2026-08-05 的破坏性迁移将 Vercel AI SDK 替换为唯一的 pi-ai 运行时，并把模型能力、上下文窗口和价格的权威来源移到 catalog；旧模型记录中的凭据和能力字段不再兼容 (
packages/cli/src/services/pi/PiModelCatalog.ts,packages/cli/src/config/types.ts,git:311ba368) - Blade 将底层 pi-ai 的
maxRetries固定为0并在PiAIChatService集中拥有重试、fallback 和生命周期事件，避免 SDK 与 Agent 双重重试放大物理请求或暗中重放流 (packages/cli/src/services/pi/requestOptions.ts,packages/cli/src/services/PiAIChatService.ts,git:2aa2b22b)
Patterns
- Provider 运行态事件先作为
StreamChunk控制字段进入 Agent loop，再由 TUI、Web SSE、Headless JSONL 和 ACP 各自投影；这些事件不混入 assistant 正文或 durable transcript (packages/cli/src/services/ChatServiceInterface.ts,packages/cli/src/agent/loop/executeLoopGenerator.ts,packages/cli/src/server/routes/session.ts) PiAIChatService.updateConfig()会重新解析模型并重建可选 admission scheduler；修改 Provider、模型或并发配置不能只替换字段而保留旧运行时对象 (packages/cli/src/services/PiAIChatService.ts)
Dependencies
@earendil-works/pi-ai提供 Provider、模型目录、凭据协议、模型能力和流事件；本域负责把这些能力收敛为 Blade 的单一运行时契约 (packages/cli/package.json,packages/cli/src/services/pi/PiModelCatalog.ts)
Child Knowledge Nodes
./model-catalog-configuration-and-credentials/SKILL.md— Navigate when: 新增模型或自定义 Provider、解析 fallback channel、迁移模型 ID、处理凭据与目录元数据./provider-transport-and-context-adaptation/SKILL.md— Navigate when: 修改 Message/Tool 到 pi-ai 的映射、Provider 参数、图片与 thinking 能力、流 watchdog 或响应归一化./provider-resilience-admission-and-observability/SKILL.md— Navigate when: 调试重试、前台恢复、熔断、容量排队、Prompt Cache 断裂、费用或跨表面 Provider 状态
© echoVic, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .trae/knowledges/model-and-provider-runtime of echoVic/blade-code.
Open the folder on GitHubat commit 30f8684
Compare with similar skills
Knowledge Model And Provider Runtime next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Knowledge Model And Provider Runtime this skillechoVic/blade-code | 180 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 87k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Session History Searchslopus/happy | 24k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Paseo Agent Handoffgetpaseo/paseo | 20k | 1 repos | ~606 | Automated safety check: Pass | Custom licence | |
| Memori Long-Term MemoryMemoriLabs/Memori | 17k | — | ~2k | Automated safety check: Notes | Custom licence |
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Questions about Knowledge Model And Provider Runtime
What does Knowledge Model And Provider Runtime do?
覆盖 Blade 的模型目录、Provider 通道、pi-ai 请求适配以及恢复、准入和观测运行链. An agent skill from echoVic/blade-code. Knowledge Model And Provider Runtime is an agent skill from echoVic/blade-code. 覆盖 Blade 的模型目录、Provider 通道、pi-ai 请求适配以及恢复、准入和观测运行链。 Navigate when: 新增或切换模型与 Provider、调试请求负载或流事件、排查 fallback、重试、 熔断、排队、Prompt Cache 或费用问题。Excludes: Session 模型资源快照与 Workspace Trust（见 workspace-policy-and-shared-foundations/），Agent 轮次消费与压缩策略（见 agent-execution-and-orchestration/ 和 session-state-and-context/）。Keywords: PiAIChatService, PiModelCatalog, resolveModelConfig, provider retry, circuit breaker, admission, fallback, prompt cache, pricing.
When should I use Knowledge Model And Provider Runtime?
Knowledge Model And Provider Runtime fits situations like: tasks that involve Session handoff.
How do I install Knowledge Model And Provider Runtime in Claude Code?
Run `npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a claude-code`. Or copy the skill folder (.trae/knowledges/model-and-provider-runtime in echoVic/blade-code) into .claude/skills/knowledge-model-and-provider-runtime in your project. Claude Code loads it when a task matches its description.
How do I install Knowledge Model And Provider Runtime in Codex?
Run `npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a codex`. Or copy the skill folder (.trae/knowledges/model-and-provider-runtime in echoVic/blade-code) into .agents/skills/knowledge-model-and-provider-runtime in your project. Codex loads it when a task matches its description.
Can I use Knowledge Model And Provider Runtime in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add echoVic/blade-code --skill knowledge-model-and-provider-runtime -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/knowledge-model-and-provider-runtime, .gemini/skills/knowledge-model-and-provider-runtime, .github/skills/knowledge-model-and-provider-runtime and .opencode/skills/knowledge-model-and-provider-runtime in your project.
What does Knowledge Model And Provider Runtime need to run?
SKILL.md names no scripts, command-line tools or credentials: Knowledge Model And Provider Runtime is instructions for the agent only.
Does Knowledge Model And Provider Runtime access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Knowledge Model And Provider Runtime safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Knowledge Model And Provider Runtime use?
Knowledge Model And Provider Runtime is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Knowledge Model And Provider Runtime use?
About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Knowledge Model And Provider Runtime?
Skills that share tags, products or a category with Knowledge Model And Provider Runtime: Orca CLI (stablyai/orca, 87k stars), Beads Task Memory (gastownhall/beads, 28k stars), Session History Search (slopus/happy, 24k stars) and Paseo Agent Handoff (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Knowledge Model And Provider Runtime?
echoVic (a GitHub user) maintains it in echoVic/blade-code, which has 180 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on September 27, 2026.
Source: echoVic/blade-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.