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 zjp1997720/zhijian-skills --skill workbuddy-cli-model-bridgegit clone --depth 1 https://github.com/zjp1997720/zhijian-skillsWrote 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/zjp1997720/zhijian-skills/workbuddy-cli-model-bridge)<a href="https://agentmods.dev/skills/zjp1997720/zhijian-skills/workbuddy-cli-model-bridge"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/workbuddy-cli-model-bridge/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/zjp1997720/zhijian-skills/workbuddy-cli-model-bridge"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/workbuddy-cli-model-bridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 104 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00151 | $0.02010 |
| Opus 5.5 | $0.00060 | $0.00804 |
| Sonnet 5.5 | $0.00030 | $0.00402 |
| Haiku 4.5 | $0.00015 | $0.00201 |
Grade A, and why
workbuddy-cli-model-bridge 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 2mo 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
What ships with it
14 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.
- agents/openai.yaml 330 B
- evals/evals.json 6.0 KB
- LICENSE 1.0 KB
- providers/antigravity.json 1.9 KB
- providers/codex.json 3.2 KB
- providers/glm-coding.json 845 B
- providers/xai-grok.json 2.0 KB
- references/glm-coding-plan.md 2.7 KB
- references/onboarding-new-cli.md 4.7 KB
- references/provider-schema.md 5.7 KB
- references/security-boundaries.md 2.6 KB
- references/troubleshooting.md 7.2 KB
- scripts/bridge.py 59 KB runs code
- tests/test_bridge.py 27 KB runs code
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.
- 2mo ago First seen · 199 lines · 151 tokens per session scan A ffdfd8d2b672
workbuddy-cli-model-bridge is a skill published in the GitHub repository zjp1997720/zhijian-skills (787 stars, last pushed 4d ago), licensed MIT. It adds 151 tokens to every session and 2,010 once invoked, about $0.0006 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.
workbuddy-cli-model-bridge compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| workbuddy-cli-model-bridgezjp1997720/zhijian-skills | Skill | 787 | 4d ago | MIT | A | 151 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |