DC TeamClaw
A high-performance Agent subsystem for complex multi-agent orchestration. It provides a visual workflow canvas (OASIS) to coordinate OpenClaw agents, automated computer use tasks, and real-time monitoring via a dedicated Web UI. Supports Telegram/QQ bot integrations and Cloudflare Tunnel for secure remote access.
As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, execution cost
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 17
✓ No critical or high findings
Medium and low: 17
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medium Exfiltration
net-redirectable-api-keychatbot/QQbot.py:22Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Exfiltration
net-redirectable-api-keychatbot/telegrambot.py:14Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Exfiltration
net-redirectable-api-keyoasis/server.py:713Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Dangerous commands
cmd-pipe-to-shell-known-hostscripts/setup_env.sh:17Pipe-to-shell installer from a well-known host (still executes remote code)curl -LsSf https://astral.sh/uv/install.sh | sh
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medium Exfiltration
net-redirectable-api-keysrc/llm_factory.py:84Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Exfiltration
net-redirectable-api-keysrc/mainagent.py:450Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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low Dangerous commands
cmd-privilegescripts/tunnel.py:88Privilege escalation / world-writable permissions (string literal in code, not executed)sudo mv cloudflared /usr/local/bin/ # 系统路径
code literal -
low Dangerous commands
cmd-privilegescripts/tunnel.py:103Privilege escalation / world-writable permissions (string literal in code, not executed)sudo mv cloudflared /usr/local/bin/ # 系统路径
code literal -
low Secrets in code
secret-password-literalselfskill/scripts/adduser.py:28Hard-coded password / key literal (may be an example)username, password = sys.argv[1], sys.argv[2]
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low Dangerous commands
cmd-background-processselfskill/scripts/run.sh:47Starts a background / autostarted processnohup python scripts/launcher.py > "$PROJECT_ROOT/logs/launcher.log" 2>&1 &
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low Exfiltration
read-dotenvselfskill/scripts/run.sh:54Reads a .env filesource config/.env 2>/dev/null || true
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low Exfiltration
read-dotenvselfskill/scripts/run.sh:101Reads a .env filesource config/.env 2>/dev/null || true
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low Dangerous commands
cmd-background-processSKILL.md:1316Starts a background / autostarted process (documentation of a security skill)nohup python scripts/tunnel.py > logs/tunnel.log 2>&1 &
security skill -
low Dangerous commands
cmd-background-processSKILL.md:1380Starts a background / autostarted process (documentation of a security skill)nohup python scripts/tunnel.py > logs/tunnel.log 2>&1 &
security skill -
low Exfiltration
exfil-webhook-urlsrc/mcp_bark.py:114Webhook / callback URL commonly used for exfiltration (verify the destination) (security demo / example; quoted — discussed, not commanded):param public_url: The public URL (e.g. "https://xxx.trycloudflare.com")
demoquoted -
low Dangerous commands
cmd-privilegesrc/mcp_commander.py:94Privilege escalation / world-writable permissions (string literal in code, not executed)"> /dev/sd", "chmod 777 /", "chown root", "/etc/passwd", "/etc/shadow",
code literal -
low Exfiltration
exfil-webhook-urlsrc/mcp_telegram.py:24Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)TELEGRAM_API = f"https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}"placeholder
Files scanned: 61. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
body-longSKILL.md body ≈ 12398 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "user-invokable"
Process rating: all ten parameters 59/100
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 40Execution cost. Instruction body is 12398 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Failures and branches. 4 branches
- 100Steps. 117 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- low 27 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (4 tags): a typed call is more reliable
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- -2localhost URLs: will not work for another user
- -212 emoji in the instructions: noise for the model
- -35 of 7 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 314: enough signal without eating the budget
- +4Structure: 83 headings
- +3Step-by-step instructions: 117 items
- +4Has examples (58 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.