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workbuddy-cli-model-bridge

Install, audit, repair, and manage a loopback-only CLIProxyAPI

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价格未确认★ 576 GitHub Stars目录更新于 · 2026年9月5日agent-skill

概览

Install, audit, repair, and manage a loopback-only CLIProxyAPI

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

WorkBuddy CLI Model Bridge

Turn supported CLI subscriptions into verified WorkBuddy custom-model entries through CLIProxyAPI. Use the bundled script for discovery, installation, OAuth handoff, capability probes, and idempotent WorkBuddy updates. Keep model claims tied to real probes; a model name or marketing page is not evidence that a particular proxy route preserves the capability.

Resolve the Skill directory

Resolve this loaded Skill's directory and use its absolute path as <skill-dir>. Do not assume a specific installation root.

The deterministic entry point is:

python3 <skill-dir>/scripts/bridge.py

Default workflow

1. Audit before changing anything

python3 <skill-dir>/scripts/bridge.py audit

Read the JSON findings. The audit redacts secrets and detects:

Homebrew, CLIProxyAPI, active config, bind address, and proxy reachability
WorkBuddy initialization and existing model count
bundled and local Provider manifests
CLI executables and login signals without reading token contents
CLIProxyAPI auth-file counts without exposing account names

Treat an existing CLI login as a discovery signal. CLIProxyAPI may still require its own OAuth grant; do not copy another CLI's token file.

2. Bootstrap CLIProxyAPI when required

Preview:

python3 <skill-dir>/scripts/bridge.py bootstrap

Apply the plan when the user asked to install, configure, repair, or converge the bridge:

python3 <skill-dir>/scripts/bridge.py bootstrap --apply

The request to set up the bridge authorizes reversible Homebrew installation, loopback service startup, a dedicated random proxy client key, secure local state, and timestamped backups. Pause only when:

Homebrew itself is missing and its installer requires administrator interaction
an existing proxy listens beyond loopback; explain the remote-client impact before using --allow-rebind-local
an overlapping deployment or config conflict makes ownership ambiguous

Keep a healthy existing installation in place. Prefer official Homebrew installation for a new macOS setup.

3. Authorize only relevant Providers

Bundled OAuth Provider IDs are codex, xai-grok, and antigravity. Authorize one when the user requested it or the audit found its CLI/login signal and CLIProxyAPI has no matching auth/model route.

python3 <skill-dir>/scripts/bridge.py authorize codex
python3 <skill-dir>/scripts/bridge.py authorize xai-grok
python3 <skill-dir>/scripts/bridge.py authorize antigravity

The command delegates to CLIProxyAPI's native OAuth flag. Tell the user to approve the browser page, then continue automatically. Never paste, print, transform, or reuse OAuth tokens. Secure resulting auth JSON files to owner-only permissions.

Bundled glm-coding is a Coding Plan API-key Provider, not OAuth. Do not run authorize glm-coding. Follow glm-coding-plan.md: add the official coding /paas/v4 route to CLIProxyAPI, then sync --providers glm-coding. Do not use 智谱清言 website login.

Do not authorize unrelated Providers merely because they are bundled.

4. Probe and synchronize WorkBuddy

Pass only the relevant Provider IDs:

python3 <skill-dir>/scripts/bridge.py sync --providers codex,xai-grok,glm-coding --apply

The sync command:

fetches the live /v1/models list
selects recommended chat/agent models from Provider manifests
probes text, SSE streaming, tools, images, and reasoning controls where declared
resolves token limits by exact model ID, using Provider-declared catalogs before sourced manifest metadata
refuses to register a model with an unknown input/output limit or a rejected output-limit probe
skips models whose text or streaming probes fail
downgrades optional capability flags when their probes fail
backs up and atomically updates ~/.workbuddy/models.json
preserves manual entries and stale managed entries
refuses to overwrite a manual entry with the same model ID
records ownership separately under ~/.config/workbuddy-cli-model-bridge/

Do not use --skip-probes for a live setup. That option exists for deterministic offline tests only.

When the user explicitly requests Fast mode and no Fast model appears, read the Fast-model section in troubleshooting.md. A Fast alias needs both a distinct CLIProxyAPI route and verified priority semantics; never relabel an ordinary model as Fast.

A reasoning probe verifies control compatibility. It cannot expose private chain of thought. For teaching or screen recording, ask the model to emit a deliberate problem decomposition as normal answer content.

WorkBuddy represents each custom model as a separate entry. This Skill registers verified entries; it does not change the user's currently selected conversation model.

5. Verify the application consumed the change

Run the audit again. If WorkBuddy is already open, inspect its current main-thread log for a models.json changed or Loaded custom models config event. If no reload event appears, ask the user to reopen model settings or start a new conversation; do not rewrite the same config repeatedly.

Report:

CLIProxyAPI version/path and local endpoint
authorized Providers, without account identifiers
models added or updated
capability probe results
conflicts, skipped models, and preserved stale entries
backup paths and any remaining user action
effective input/output token limits and their non-secret metadata source

Never include API keys, OAuth URLs containing one-time codes, token file contents, or raw request bodies.

Repair workflow

For an expired or broken model:

Run audit and distinguish proxy-down, missing key, missing OAuth, unavailable model, Provider quota, and WorkBuddy-cache failures.
Start or repair the existing service before reinstalling anything.
For a recovered quota followed by persistent 503 auth_unavailable, follow Quota recovered but 503 persists before reauthorizing.
Rerun authorize <provider> only when auth is absent or an authentication-specific probe fails.
Rerun sync --providers <affected-provider> --apply.
Verify a real text request and every declared optional capability.

Do not rotate the WorkBuddy API key merely because a Provider OAuth session changed. The proxy client key and upstream OAuth credentials have different lifecycles.

Read troubleshooting.md for failure classification and rollback guidance.

Add a new CLI Provider

Read both:

Prefer, in order:

CLIProxyAPI native OAuth Provider
official OpenAI-compatible endpoint
declarative model alias/protocol mapping
a bounded local adapter as a separately disclosed last resort

Save machine-local manifests under:

~/.config/workbuddy-cli-model-bridge/providers.d/<provider-id>.json

Validate before use:

python3 <skill-dir>/scripts/bridge.py validate-provider ~/.config/workbuddy-cli-model-bridge/providers.d/<provider-id>.json

Then authorize and sync by the new Provider ID. A new manifest becomes reusable by every Agent on the same machine without modifying this Skill. Promote it into the public Skill only after isolated tests prove installation, authentication handoff, model selection, capability accuracy, and rollback behavior.

Safety boundaries

Read security-boundaries.md before changing service exposure, credentials, or adding a local adapter.

Bind the proxy to loopback and keep remote management disabled.
Store bridge secrets, OAuth files, WorkBuddy config, and credential-bearing backups with mode 0600.
Use only accounts the user owns and respect Provider subscription terms and rate limits.
Never implement ban evasion, account sharing, automated block reset, token extraction, or hidden traffic cloaking.
Preserve user-created WorkBuddy models and unrelated CLIProxyAPI configuration.
Treat Provider manifests as code: validate their source and inspect local overrides before executing login flags.

Completion gate

Completion requires:

audit has no unresolved security error
CLIProxyAPI is reachable on loopback with the dedicated client key
each registered model passed text and streaming probes
every enabled optional capability passed its probe
every registered model has sourced input/output limits and passed the bounded output-limit probe
WorkBuddy loaded the resulting model list
repeated sync is idempotent
backups and rollback paths are reported

If any gate remains unproven, report the model as unverified rather than declaring success.

查看来源 ↗

文件元数据

name: workbuddy-cli-model-bridge
description: Install, audit, repair, and manage a loopback-only CLIProxyAPI
  bridge that registers subscription-backed Codex, Grok, Antigravity/Gemini,
  GLM Coding Plan, or newly added CLI models in WorkBuddy. Use whenever the
  user asks to connect a local CLI or agent model to WorkBuddy, install
  CLIProxyAPI, add GLM-5.3 from a Coding Plan key, add or repair a WorkBuddy
  custom model, preserve image/tool/reasoning/Fast capabilities, onboard
  another CLI provider, or diagnose a WorkBuddy model that stopped working.
  This Skill is macOS-first and should be used even when the user names only
  the model or says their local WorkBuddy API has expired.
disable-model-invocation: true

查看原始文本

---
name: workbuddy-cli-model-bridge
description: Install, audit, repair, and manage a loopback-only CLIProxyAPI
bridge that registers subscription-backed Codex, Grok, Antigravity/Gemini,
GLM Coding Plan, or newly added CLI models in WorkBuddy. Use whenever the
user asks to connect a local CLI or agent model to WorkBuddy, install
CLIProxyAPI, add GLM-5.3 from a Coding Plan key, add or repair a WorkBuddy
custom model, preserve image/tool/reasoning/Fast capabilities, onboard
another CLI provider, or diagnose a WorkBuddy model that stopped working.
This Skill is macOS-first and should be used even when the user names only
the model or says their local WorkBuddy API has expired.
disable-model-invocation: true
---

# WorkBuddy CLI Model Bridge

## Resolve the Skill directory

Resolve this loaded Skill's directory and use its absolute path as `<skill-dir>`. Do not assume a specific installation root.

The deterministic entry point is:

```bash
python3 <skill-dir>/scripts/bridge.py
```

## Default workflow

### 1. Audit before changing anything

```bash
python3 <skill-dir>/scripts/bridge.py audit
```

Read the JSON findings. The audit redacts secrets and detects:

- Homebrew, CLIProxyAPI, active config, bind address, and proxy reachability
- WorkBuddy initialization and existing model count
- bundled and local Provider manifests
- CLI executables and login signals without reading token contents
- CLIProxyAPI auth-file counts without exposing account names

Treat an existing CLI login as a discovery signal. CLIProxyAPI may still require its own OAuth grant; do not copy another CLI's token file.

### 2. Bootstrap CLIProxyAPI when required

Preview:

```bash
python3 <skill-dir>/scripts/bridge.py bootstrap
```

Apply the plan when the user asked to install, configure, repair, or converge the bridge:

```bash
python3 <skill-dir>/scripts/bridge.py bootstrap --apply
```

- Homebrew itself is missing and its installer requires administrator interaction
- an existing proxy listens beyond loopback; explain the remote-client impact before using `--allow-rebind-local`
- an overlapping deployment or config conflict makes ownership ambiguous

Keep a healthy existing installation in place. Prefer official Homebrew installation for a new macOS setup.

### 3. Authorize only relevant Providers

Bundled OAuth Provider IDs are `codex`, `xai-grok`, and `antigravity`. Authorize one when the user requested it or the audit found its CLI/login signal and CLIProxyAPI has no matching auth/model route.

```bash
python3 <skill-dir>/scripts/bridge.py authorize codex
python3 <skill-dir>/scripts/bridge.py authorize xai-grok
python3 <skill-dir>/scripts/bridge.py authorize antigravity
```

Bundled `glm-coding` is a Coding Plan API-key Provider, not OAuth. Do not run `authorize glm-coding`. Follow [glm-coding-plan.md](references/glm-coding-plan.md): add the official coding `/paas/v4` route to CLIProxyAPI, then `sync --providers glm-coding`. Do not use 智谱清言 website login.

Do not authorize unrelated Providers merely because they are bundled.

### 4. Probe and synchronize WorkBuddy

Pass only the relevant Provider IDs:

```bash
python3 <skill-dir>/scripts/bridge.py sync --providers codex,xai-grok,glm-coding --apply
```

The sync command:

- fetches the live `/v1/models` list
- selects recommended chat/agent models from Provider manifests
- probes text, SSE streaming, tools, images, and reasoning controls where declared
- resolves token limits by exact model ID, using Provider-declared catalogs before sourced manifest metadata
- refuses to register a model with an unknown input/output limit or a rejected output-limit probe
- skips models whose text or streaming probes fail
- downgrades optional capability flags when their probes fail
- backs up and atomically updates `~/.workbuddy/models.json`
- preserves manual entries and stale managed entries
- refuses to overwrite a manual entry with the same model ID
- records ownership separately under `~/.config/workbuddy-cli-model-bridge/`

Do not use `--skip-probes` for a live setup. That option exists for deterministic offline tests only.

When the user explicitly requests Fast mode and no Fast model appears, read the Fast-model section in [troubleshooting.md](references/troubleshooting.md). A Fast alias needs both a distinct CLIProxyAPI route and verified priority semantics; never relabel an ordinary model as Fast.

WorkBuddy represents each custom model as a separate entry. This Skill registers verified entries; it does not change the user's currently selected conversation model.

### 5. Verify the application consumed the change

Run the audit again. If WorkBuddy is already open, inspect its current main-thread log for a `models.json changed` or `Loaded custom models config` event. If no reload event appears, ask the user to reopen model settings or start a new conversation; do not rewrite the same config repeatedly.

Report:

- CLIProxyAPI version/path and local endpoint
- authorized Providers, without account identifiers
- models added or updated
- capability probe results
- conflicts, skipped models, and preserved stale entries
- backup paths and any remaining user action
- effective input/output token limits and their non-secret metadata source

Never include API keys, OAuth URLs containing one-time codes, token file contents, or raw request bodies.

## Repair workflow

For an expired or broken model:

1. Run `audit` and distinguish proxy-down, missing key, missing OAuth, unavailable model, Provider quota, and WorkBuddy-cache failures.
2. Start or repair the existing service before reinstalling anything.
3. For a recovered quota followed by persistent `503 auth_unavailable`, follow [Quota recovered but 503 persists](references/troubleshooting.md#quota-recovered-but-503-auth_unavailable-persists) before reauthorizing.
4. Rerun `authorize <provider>` only when auth is absent or an authentication-specific probe fails.
5. Rerun `sync --providers <affected-provider> --apply`.
6. Verify a real text request and every declared optional capability.

Do not rotate the WorkBuddy API key merely because a Provider OAuth session changed. The proxy client key and upstream OAuth credentials have different lifecycles.

Read [troubleshooting.md](references/troubleshooting.md) for failure classification and rollback guidance.

## Add a new CLI Provider

Read both:

- [provider-schema.md](references/provider-schema.md)
- [onboarding-new-cli.md](references/onboarding-new-cli.md)

Prefer, in order:

1. CLIProxyAPI native OAuth Provider
2. official OpenAI-compatible endpoint
3. declarative model alias/protocol mapping
4. a bounded local adapter as a separately disclosed last resort

Save machine-local manifests under:

```text
~/.config/workbuddy-cli-model-bridge/providers.d/<provider-id>.json
```

Validate before use:

```bash
python3 <skill-dir>/scripts/bridge.py validate-provider ~/.config/workbuddy-cli-model-bridge/providers.d/<provider-id>.json
```

## Safety boundaries

Read [security-boundaries.md](references/security-boundaries.md) before changing service exposure, credentials, or adding a local adapter.

- Bind the proxy to loopback and keep remote management disabled.
- Store bridge secrets, OAuth files, WorkBuddy config, and credential-bearing backups with mode `0600`.
- Use only accounts the user owns and respect Provider subscription terms and rate limits.
- Never implement ban evasion, account sharing, automated block reset, token extraction, or hidden traffic cloaking.
- Preserve user-created WorkBuddy models and unrelated CLIProxyAPI configuration.
- Treat Provider manifests as code: validate their source and inspect local overrides before executing login flags.

## Completion gate

Completion requires:

- audit has no unresolved security error
- CLIProxyAPI is reachable on loopback with the dedicated client key
- each registered model passed text and streaming probes
- every enabled optional capability passed its probe
- every registered model has sourced input/output limits and passed the bounded output-limit probe
- WorkBuddy loaded the resulting model list
- repeated sync is idempotent
- backups and rollback paths are reported

If any gate remains unproven, report the model as unverified rather than declaring success.

查看并核实来源

获取价格与运行成本

获取 Skill: 价格未确认
运行 Skill: 尚未确认运行要求，请查看来源中的 Agent、API 和服务费用。
许可证: MIT
价格未确认: 我们尚未确认此 Skill 的价格，现有来源与安装入口仍可使用。

免费获取不代表免费运行，价格标签不代表安全评级。提交价格信息 →

已记录技能来源

已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
The SKILL.md excerpt is truncated, so the full documentation cannot be fully assessed, but the visible portion is thorough.
The skill relies on external tools (CLIProxyAPI, Homebrew) whose security posture is not fully audited; the skill itself appears to follow safe practices.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: zjp1997720/zhijian-skills
许可证: MIT
版本: 1.0.0
最近 GitHub 推送: 2026年9月5日
目录更新于: 2026年9月5日
技能指令路径: skills/workbuddy-cli-model-bridge/SKILL.md @ e354ad521eef

版本来自目录元数据，使用前请核实来源发布记录。

质量

71/100

强

信任

57/100

Do not auto-install

审计

74/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
The SKILL.md excerpt is truncated, so the full documentation cannot be fully assessed, but the visible portion is thorough.
The skill relies on external tools (CLIProxyAPI, Homebrew) whose security posture is not fully audited; the skill itself appears to follow safe practices.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

更多详情

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      "repoActivity": "576 stars, 61 forks",
      "lastPushed": "1mo since push",
      "license": "MIT",
      "repository": "https://github.com/zjp1997720/zhijian-skills/tree/main/skills/workbuddy-cli-model-bridge",
      "install": "npx skills add zjp1997720/zhijian-skills --skill workbuddy-cli-model-bridge",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Usable metadata, review docs",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "security",
      "agent-skill"
    ],
    "known_risks": [
      "The SKILL.md excerpt is truncated, so the full documentation cannot be fully assessed, but the visible portion is thorough.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 74,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "The SKILL.md excerpt is truncated, so the full documentation cannot be fully assessed, but the visible portion is thorough.",
      "The skill relies on external tools (CLIProxyAPI, Homebrew) whose security posture is not fully audited; the skill itself appears to follow safe practices.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 71,
    "label": "Strong"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Security and compliance",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The SKILL.md excerpt is truncated, so the full documentation cannot be fully assessed, but the visible portion is thorough.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "The skill relies on external tools (CLIProxyAPI, Homebrew) whose security posture is not fully audited; the skill itself appears to follow safe practices."
  ],
  "agent_contract": {
    "task_input": "Use workbuddy-cli-model-bridge in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 65/100 Manual review",
      "Audit: 74/100 Needs review",
      "Safety: 26/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "zjp1997720-workbuddy-cli-model-bridge (workbuddy-cli-model-bridge)",
      "install_command": "npx skills add zjp1997720/zhijian-skills --skill workbuddy-cli-model-bridge",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "zjp1997720-workbuddy-cli-model-bridge",
      "task": "Use workbuddy-cli-model-bridge in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/zjp1997720-workbuddy-cli-model-bridge",
    "api": "https://www.openagentskill.com/api/agent/skills/zjp1997720-workbuddy-cli-model-bridge",
    "audit": "https://www.openagentskill.com/skills/zjp1997720-workbuddy-cli-model-bridge/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=zjp1997720-workbuddy-cli-model-bridge&task=Use%20workbuddy-cli-model-bridge%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20workbuddy-cli-model-bridge%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20workbuddy-cli-model-bridge%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/zjp1997720-workbuddy-cli-model-bridge/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/zjp1997720-workbuddy-cli-model-bridge"
  }
}

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创作者: zjp1997720
来源: zjp1997720/zhijian-skills
收录方: OpenAgentSkill 社区索引

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