workbuddy-cli-model-bridge: Security & Code Review for AI Agents | OpenAgentSkill

Overview

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

Read full documentation

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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.

View source ↗

File metadata

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

View original text

---
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.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

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.

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Sep 5, 2026
Registry updated: Sep 5, 2026
Instruction path: skills/workbuddy-cli-model-bridge/SKILL.md @ e354ad521eef

Version reported in registry metadata; check source releases before relying on it.

Quality

74/100

Strong

Trust

58/100

Do not auto-install

Audit

77/100

Needs review

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "scenario": "Coding agents",
    "maintenance": "3d 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.",
    "No OpenAgentSkill engagement data yet",
    "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"
  ],
  "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: 66/100 Manual review",
      "Audit: 77/100 Needs review",
      "Safety: 29/100 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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Creator: zjp1997720
Source: zjp1997720/zhijian-skills
Indexed by: OpenAgentSkill community index

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