AC youtube-analytics
YouTube Data API v3 analytics toolkit. Analyze YouTube channels, videos, and search results. Use when the user asks to: check YouTube channel stats, analyze video performance, compare channels, search for videos, get subscriber counts, view engagement metrics, find trending videos, get channel uploads, or analyze YouTube competition. Requires a YouTube Data API v3 key from Google Cloud Console.
As a process C 57/100 · Has gaps — weak spots: result and completion, failures and branches, 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-tokenscripts/package-lock.json:23High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-GZMB+a0mO…4cw+w1WV…UED+1X8a…sJi+8mgpw==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:183High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…HK5+NE/tvnRLbIqUWa+0E9N4WNMjmp/kXXP…R8w==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:391High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…78O/B3Kkh+nKABUF++bvJv…56W+C8F9…X6m+IktJnIb1Jjg==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:525High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…7q9+ak9b…6z7+X768/cHsfg+WlysDWJcmthjsjQ==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:534High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…HyM+jmUB…wDz+E2LA…ZDQ==",
detector
Files scanned: 14. 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 57/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1145 tokens
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
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 397: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.