CD api-gateway
API gateway for calling third-party APIs with managed auth. Use this skill when users want to interact with external services like Slack, HubSpot, Salesforce, Google Workspace, Stripe, and more.
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.
Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.
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 · 8
✓ No critical or high findings
Medium and low: 8
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medium Obfuscation
obf-base64-blobreferences/google-analytics-data.md:149Long base64-looking blob- [Run Realtime Report](https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport)
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medium Obfuscation
obf-base64-blobreferences/google-analytics-data.md:150Long base64-looking blob- [Batch Run Reports](https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/batchRunReports)
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medium Exfiltration
net-credential-useSKILL.md:19Credential used in a network call (verify the destination is the intended service)curl -s -X POST "https://gateway.maton.ai/slack/api/chat.postMessage" -H "Content-Type: application/json" -H "Authorization: Bearer $MATON_API_KEY" -d '{"channel": "C0123456", "text": "Hello from gate -
medium Exfiltration
net-credential-useSKILL.md:61Credential used in a network call (verify the destination is the intended service)curl -s -X GET "https://ctrl.maton.ai/connections?app=slack&status=…" -H "Authorization: Bearer $MATON_API_KEY"
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medium Exfiltration
net-credential-useSKILL.md:88Credential used in a network call (verify the destination is the intended service)curl -s -X POST "https://ctrl.maton.ai/connections" -H "Content-Type: application/json" -H "Authorization: Bearer $MATON_API_KEY" -d '{"app": "slack"}' -
medium Exfiltration
net-credential-useSKILL.md:94Credential used in a network call (verify the destination is the intended service)curl -s -X GET "https://ctrl.maton.ai/connections/{connection_id}" -H "Authorization: Bearer $MATON_API_KEY" -
medium Exfiltration
net-credential-useSKILL.md:117Credential used in a network call (verify the destination is the intended service)curl -s -X DELETE "https://ctrl.maton.ai/connections/{connection_id}" -H "Authorization: Bearer $MATON_API_KEY" -
low Obfuscation
obf-base64-blobSKILL.md:233Long base64-looking blob (quoted — discussed, not commanded)curl -s -X GET "https://gateway.maton.ai/google-sheets/v4/spreadsheets/122B…I4M/values/Sheet1!A1:B2" -H "Authorization: Bearer $MATON_API_KEY"
quoted
Files scanned: 41. 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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 40Consistency. Frontmatter name (api-gateway) differs from the folder (api-gateway-1-0-7)
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 100Steps. 60 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Execution cost. Instruction body is 3693 tokens
- low 13 top-level sections: this looks like several domains in one skill
- high The skill tells the model to perform an irreversible action with no human approval
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
- +2Single-language instructions
- +3Description length 194: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 60 items
- +4Has examples (24 code blocks)
- +4Reference files are cited in the instructions (38 of 38)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.