Claude Code, Skill
Ai Agent Handbook
Ai Agent Handbook, a skill listed in the PlugVet directory.
Compatibility: Not stated.
Grade C
One Medium finding. Read the findings before installing.
Not a guarantee. A hygiene check of the source at the commit shown, not a security audit.
Rescanned at commit 4354b14fcc29, unchanged since the check below.
INSTALL_REMOTE_SCRIPT
Why this grade
- INSTALL_REMOTE_SCRIPT Medium
Fetches a script from the network and runs it (a pipe to a shell, or an install hook with a URL).
chapters/12-ollama.md, line 38
curl -fsSL https://ollama.com/install.sh | sh
Any High, or two or more Medium findings, give D. One Medium gives C. Low findings or a security Note give B. Each code names a finding behind the letter.
If you think this grade is wrong, email [email protected] with the entry link and your evidence. We aim to acknowledge within two working days and decide within seven. If we confirm an error, we aim to correct it within 24 hours of confirming it. These are aims, not guarantees.
Grades are a hygiene check of the source at the commit shown, on the date checked, not a security audit or a guarantee. The free directory grades are automated. Before release, a PlugVet engineer reviews every paid report and any grade we hold back, including all F grades, against the source code and the evidence we quote.
What was checked
Plain notes from the hygiene checks.
Permissions
Concern
can delete files.
PERMISSION_DELETE_FILES
build_backend.py, line 41
shutil.rmtree(dst_chapters)
build_backend.py, line 49
shutil.rmtree(dst_data)
scripts/build_cli.py, line 32
result = subprocess.run(
Show more
scripts/build_docs.py, line 44
shutil.rmtree(STAGE)
scripts/build_pdf.py, line 146
subprocess.run(cmd, capture_output=True, timeout=300)
chapters/26-agent-skills.md, line 358
result = subprocess.run(cmd, capture_output=True, text=True)
Install and update
Serious
install fetches a script from the network.
INSTALL_REMOTE_SCRIPT
chapters/12-ollama.md, line 38
curl -fsSL https://ollama.com/install.sh | sh
requirements.txt, line 8
openai>=1.30.0 # OpenAI / 国产模型通用客户端
Network
Concern
can reach a host that is not written as a fixed address. can reach api.weather.example. The description does not name that host.
NETWORK_NO_FIXED_HOST NETWORK_UNNAMED_HOST
scripts/freshness_check.py, line 47
resp = requests.get(url, headers=headers, timeout=15)
scripts/refresh_stars.py, line 48
resp = requests.get(url, headers=headers, timeout=15)
scripts/refresh_stars.py, line 56
rel_resp = requests.get(release_url, headers=headers, timeout=15)
Show more
chapters/07-dify.md, line 189
response = requests.post(
chapters/07-dify.md, line 209
response = requests.post(
chapters/11-mcp.md, line 357
const resp = await fetch(`https://api.weather.example/${city}`);
chapters/11-mcp.md, line 367
async fetch(request, env) {
chapters/12-ollama.md, line 74
response = requests.post(
Secrets
Concern
reads a credential or environment file.
SECRETS_ENV_READ SECRETS_PATH_DOTENV
examples/01-react-agent/main.py, line 29
api_key = os.getenv("OPENAI_API_KEY")
examples/04-autogen-chat/main.py, line 14
"api_key": os.getenv("OPENAI_API_KEY")
examples/07-final-project/main.py, line 160
system = ResearchSystem(api_key=os.getenv("OPENAI_API_KEY"))
Show more
examples/11-mini-harness/main.py, line 21
cp .env.example .env # 填入 OPENAI_API_KEY / DEEPSEEK_API_KEY
examples/11-mini-harness/main.py, line 42
try: # 加载 .env(可选依赖,缺了不影响离线演示)
examples/11-mini-harness/main.py, line 45
load_dotenv(Path(__file__).parent / ".env")
examples/11-mini-harness/main.py, line 354
api_key = os.getenv("OPENAI_API_KEY") or os.getenv("DEEPSEEK_API_KEY")
examples/11-mini-harness/main.py, line 667
os.getenv("OPENAI_API_KEY") or os.getenv("DEEPSEEK_API_KEY")
scripts/freshness_check.py, line 42
token = os.environ.get("GITHUB_TOKEN")
scripts/refresh_stars.py, line 44
token = os.environ.get("GITHUB_TOKEN")
src/agent_handbook/cli.py, line 95
print(" cp .env.example .env # 填上模型地址与 Key")
src/agent_handbook/scaffold.py, line 14
3. 把 .env.example 复制为 .env 并填写
src/agent_handbook/scaffold.py, line 24
TOKEN_BUDGET = int(os.getenv("TOKEN_BUDGET", "60000"))
src/agent_handbook/scaffold.py, line 154
return "[离线模式] 未配置模型。复制 .env.example 为 .env 并填写后可真实调用。"
src/agent_handbook/scaffold.py, line 228
ENV_EXAMPLE = """# 复制为 .env 后填写(.env 已在 .gitignore 中)
src/agent_handbook/scaffold.py, line 246
cp .env.example .env # 填模型地址与 Key
Agent instructions
Pass
No instruction to ignore earlier instructions or to hide a step.
Obfuscation
Pass
No encoded or minified payload found.
Licence
Pass
A licence file is present (LICENSE).
Maintainer activity
Pass
The latest commit is within the last 365 days.
Note
Hygiene check of commit 4354b14fcc29. can delete files. install fetches a script from the network. can reach a host that is not written as a fixed address. can reach api.weather.example. The description does not name that host. reads a credential or environment file.
Date and source
Date checked:
github.com
Commit graded: 4354b14fcc29d3199723b59f7fd507e9052cdf69
This link goes to the original host. PlugVet does not host or check what you download from there, and installing it is your own decision and risk.