AB dataify-google-map-details
Collect structured Google Maps place or business details from a known map URL, CID, location input, or Place ID. Do not use to discover nearby places or collect reviews.
Collect structured Google Maps place or business details from a known map URL, CID, location input, or Place ID.
As a process B 67/100 · Nearly there — weak spots: result and completion, running it twice
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-tokenreferences/modes-and-parameters.md:11High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `url` | Yes | `https://www.google.com/maps/place/Pizza+Inn+Magdeburg/data=!4m7!3m6!1s0x…141!8m2!3d52…086!4d11…743!16s%2Fg%2F11…3dt!19sC…Ta3
table -
low Secrets in code
secret-high-entropy-tokenreferences/modes-and-parameters.md:19High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)[{"url":"https://www.google.com/maps/place/Pizza+Inn+Magdeburg/data=…quoted -
low Secrets in code
secret-high-entropy-tokenscripts/submit_dataify_google_map_details.py:32High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)DEFAULT_URL = "https://www.google.com/maps/place/Pizza+Inn+Magdeburg/data=!4m7!3m6!1s0x…141!8m2!3d52…086!4d11…743!16s%2Fg%2F11…3dt!19sC…3So
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.zh-CN.md:82High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `url` | 是 | `https://www.google.com/maps/place/Pizza+Inn+Magdeburg/data=!4m7!3m6!1s0x…141!8m2!3d52…086!4d11…743!16s%2Fg%2F11…3dt!19sC…3So
table -
low Secrets in code
secret-high-entropy-tokenSKILL.zh-CN.md:90High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)[{"url":"https://www.google.com/maps/place/Pizza+Inn+Magdeburg/data=…quoted
Files scanned: 7. 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 67/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 3 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 60 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2291 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 169: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 60 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.