AD china-top-doctor-referral
OceanBus-powered top-tier hospital specialist referral service for high-end medical insurance clients. Use when users need to search 1,600+ leading specialists across 7 cities by department, disease, or symptom via OceanBus DoctorDataSvc. Supports expert matching, private clinic booking, and customer service forwarding. npm install oceanbus.
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:75High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:142High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…SDq+2kAA…MOe/+5cdoEdg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:169High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…GLw+xYSd…cqA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:225High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…FrF+LTRo…W3g==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:234High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…A6j+hAmM…GbS+kf5c…csw==",
detector
Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 43/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1409 tokens
- low 10 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
- +1No license
- +2Single-language instructions
- +3Description length 343: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (9 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.