BD proxyclaw
ProxyClaw by IPLoop — Residential proxy access for AI agents. Route requests through 2M+ residential IPs across 195+ countries from real Android, Windows, Mac & Smart TV devices. Bypass geo-restrictions, rotate IPs automatically. Free tier with 0.5GB included. Earn unlimited proxy credits by contributing bandwidth via Docker. Use OPENCLAW for 20% off any paid plan.
As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
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 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.
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.
How to improve
- 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 · 14
✓ No critical or high findings
Medium and low: 14
-
medium Dangerous commands
cmd-shell-rcrules/setup.md:20Writes to a shell startup fileecho 'export IPLOOP_API_KEY="your_api_key"' >> ~/.bashrc
-
medium Exfiltration
net-credential-usesignup.html:345Credential used in a network call (verify the destination is the intended service)# curl -x "http://\${IPLOOP_CUSTOMER_ID}:\${IPLOOP_API_KEY}@\${IPLOOP_PROXY_URL}" https://httpbin.org/ip -
low Exfiltration
net-credential-usedocs/SUPPORT-API.md:48Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://api.iploop.io/api/v1/usage -H "Authorization: Bearer $TOKEN"
vendor-host -
low Exfiltration
net-credential-usedocs/SUPPORT-API.md:59Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://api.iploop.io/api/v1/dashboard/summary -H "Authorization: Bearer $TOKEN"
vendor-host -
low Exfiltration
net-credential-usedocs/SUPPORT-API.md:73Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://api.iploop.io/api/v1/api-keys -H "Authorization: Bearer $TOKEN"
vendor-host -
low Exfiltration
net-credential-usedocs/SUPPORT-API.md:88Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://api.iploop.io/api/v1/proxy/config -H "Authorization: Bearer $TOKEN"
vendor-host -
low Exfiltration
net-credential-usedocs/SUPPORT-API.md:93Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://api.iploop.io/api/v1/nodes/countries -H "Authorization: Bearer $TOKEN"
vendor-host -
low Exfiltration
net-credential-useearn/DOCKER.md:42Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://api.iploop.io/api/v1/earn/balance -H "Authorization: Bearer $TOKEN"
vendor-host -
low Exfiltration
net-credential-useearn/DOCKER.md:45Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://api.iploop.io/api/v1/earn/devices -H "Authorization: Bearer $TOKEN"
vendor-host -
low Exfiltration
net-credential-useSKILL.md:125Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host)curl --proxy "http://prox…880" --proxy-user "iploop:${IPLOOP_API_KEY}-country-US" https://example.comdemovendor-host -
low Exfiltration
net-credential-useSKILL.md:126Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host)curl --proxy "http://prox…880" --proxy-user "iploop:${IPLOOP_API_KEY}-country-DE" https://example.comdemovendor-host -
low Exfiltration
net-credential-useSKILL.md:127Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host)curl --proxy "http://prox…880" --proxy-user "iploop:${IPLOOP_API_KEY}-country-GB" https://example.comdemovendor-host -
low Exfiltration
net-credential-useSKILL.md:128Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host)curl --proxy "http://prox…880" --proxy-user "iploop:${IPLOOP_API_KEY}-country-JP" https://example.comdemovendor-host -
low Exfiltration
net-credential-useSKILL.md:129Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host)curl --proxy "http://prox…880" --proxy-user "iploop:${IPLOOP_API_KEY}-country-BR" https://example.comdemovendor-host
Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1897 tokens
- low 11 top-level sections: this looks like several domains in one skill
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
- -212 emoji in the instructions: noise for the model
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 367: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (1 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.