AB scraping-tweets-by-keyword
Scrapes tweets matching any keyword, hashtag, phrase, or boolean query using apidojo's Twitter Search scraper on Apify. Triggers when the user asks to: scrape tweets about a topic, fetch tweets containing a keyword or hashtag, export Twitter search results to a dataset, get all tweets mentioning a phrase, pull recent tweets for a search term, or collect tweet data for analysis or research. Returns tweet text, author, likes, retweets, replies, timestamp, and tweet URL per result. Ideal for researchers, data analysts, journalists, and social listening teams.
Scrapes tweets matching any keyword, hashtag, phrase, or boolean query using apidojo's Twitter Search scraper on Apify.
As a process B 71/100 · Nearly there — weak spots: running it twice, progress reporting
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
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low Exfiltration
exfil-secret-in-urlSKILL.md:113Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)"https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=…" \
placeholder -
low Exfiltration
exfil-secret-in-urlSKILL.md:120Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" | grep '"status"'
placeholder -
low Exfiltration
net-credential-useSKILL.md:120Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" | grep '"status"'
vendor-host -
low Exfiltration
exfil-secret-in-urlSKILL.md:125Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=…&format=json"
placeholder -
low Exfiltration
net-credential-useSKILL.md:125Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=…&format=json"
vendor-host
Files scanned: 2. 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 71/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1309 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)
- +2Single-language instructions
- +3Description length 562: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 11 items
- +3Output format is stated explicitly
- +4Has examples (7 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.