agency-agents-zh

🎭 277 个即插即用的 AI 专家角色, 支持 Claude Code/Cursor/Copilot 等 20 种工具,覆盖工程/设计/营销/金融等 20 个部门。含 64 个中国市场原创智能体(小红书/抖音/微信/飞书/钉钉/Qt 上位机/机械设计)。搭配编排器 agency-orchestrator,一句话即可让多位专家按 DAG 自动协作。

Runssource: GitHubhomepageShellMITcommit da1542f56c95

Shell, MIT licensed. The project labels itself: agency orchestrator, agent definitions, ai agents, ai roles, chinese, claude, claude code and copilot agent.

agency-agents-zh runs. An Argusic agent installed it in 6 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.

All 277 AI agent definition files are valid, the npm package builds, the conversion pipeline produces output for all 18 supported tools, and the install script copies agents to 6 detected tool directories without errors

What the agent ended up with on a clean machine, in its own words. How this is measured

Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 90 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs
Argusic Score
90 / 100
cost of the verifying run
$0.03 (measured)
recorded runs
2
last tested
stars
20,939
forks
3,383
open issues
1
watchers
120
size
4 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

What was measured

From the run that decided this verdict. Every line is a recorded value, not an estimate.

Install time
6 minutes
Cold machine to finish
5 minutes
Errors hit and fixed
0 hit, 0 fixed with no human help
How the result was proved
npm install exited 0 with 0 vulnerabilities; node scripts/check-counts.mjs exited 0 (277 agents); bash scripts/lint-agents.sh exited 0 (0 errors); bash scripts/convert.sh exited 0 (277 agents -> 4986 output files for 18 tool formats); bash scripts/install.sh installed 277 agents to codex, claude-code, copilot, antigravity, gemini-cli, openclaw; frontmatter validation passed on all 277 agent files
Model tokens used
131,627
Exact commit tested
da1542f56c95
Container image
sha256:cdd920bce783

What was not measured

The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.

Peak GPU memory
this ran on a CPU machine, so there was no GPU to sample
Behaviour over a long run
each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

- `node scripts/check-counts.mjs` → confirmed 277 agents, exited 0
- `bash scripts/lint-agents.sh` → 0 errors, 37 warnings (all non-blocking), exited 0
- `bash scripts/convert.sh` → all 277 agents converted to 18 tool formats (4,986 output files), exi…
- `bash scripts/install.sh --tool codex` → 277 agents installed to `.codex/agents/`
- `bash scripts/install.sh --tool claude-code` → 277 agents installed to `~/.claude/agents/`
- `bash scripts/install.sh --tool copilot` → 277 agents to `~/.github/agents/`
- `bash scripts/install.sh --tool antigravity` → 277 to `~/.gemini/antigravity/skills/`
- `bash scripts/install.sh --tool gemini-cli` → 277 to `~/.gemini/extensions/agency-agents/`
- `bash scripts/install.sh --tool openclaw` → 277 workspaces to `~/.openclaw/agency-agents/`
- `bash scripts/install.sh` (auto-detect all) → installed 6 detected tools
**Validated all 277 agent markdown files** have proper YAML frontmatter with `name`, `description`,…
**No errors encountered** at any step. All scripts and validations passed cleanly.

Replay the whole session, every command from a clean machine to this point.

How it was tested

One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.

Strengths and limits

Measured facts, not opinions. How this is written.

What went well

  • Reached a running state on a clean machine, with the session recorded.
  • Installed in 6 minutes.
  • Nothing broke on the way: zero errors between clone and running.
  • Ran without a GPU, so it does not need one to start.
  • Licensed MIT, as reported by its host.
  • Measured 2 times, so the result is not a one-off.

What it is a reasonable choice for

  • Trying it on a laptop or a small server: it reached a running state without a GPU.
  • A quick evaluation: it was running 6 minutes after the clone.
  • Following its own README: the documented path worked with nothing to fix.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

tested byattemptoutcomescorecost USDwhen
Argusic Runner2/3Runs100.000.03
Argusic Runner1/3Unverified80.000.03

Topics (from GitHub)

agency-orchestratoragent-definitionsai-agentsai-roleschineseclaudeclaude-codecopilot-agentcursor-rulesdeepseekhermes-agentllmmulti-agentno-codeprompt-engineeringqwensystem-promptworkbuddyworkflow

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/agency-agents-zh.svg)](https://argusic.com/subject/agency-agents-zh)

Questions

Does agency-agents-zh run?
Yes. agency-agents-zh runs. Argusic installed and launched it on a clean machine in 6 minutes, hitting 0 errors on the way, and recorded the session.
How did Argusic test agency-agents-zh?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit da1542f56c95. 2 attempts are recorded, and the full method is on the methodology page.
What did it cost to test agency-agents-zh?
The run that produced this verdict cost $0.03: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does agency-agents-zh take to install?
6 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
Does agency-agents-zh need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing agency-agents-zh?
Nothing did, in the recorded run: zero errors between clone and running.
Where is the evidence for agency-agents-zh?
All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion