BF Threads Replies Scraper
This skill should be used when the user asks to "scrape Threads replies", "get Threads comments", "extract replies from a Threads post", "get comments on a Threads post", "analyze Threads conversations", or needs to collect replies/comments from Meta Threads posts.
As a process F 58/100 · Will not run — References files that are not bundled: ../threads-scraper/
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 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
- The text references files that are not there: add them or drop the references.
- 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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medium Exfiltration
net-credential-useSKILL.md:120Credential used in a network call (verify the destination is the intended service)STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" \
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medium Exfiltration
net-credential-useSKILL.md:128Credential used in a network call (verify the destination is the intended service)curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=…" | jq '.'
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low Exfiltration
exfil-secret-in-urlSKILL.md:111Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)"https://api.apify.com/v2/acts/futurizerush~threads-replies-scraper/runs?token=…" \
placeholder -
low Exfiltration
exfil-secret-in-urlSKILL.md:120Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=…" \
placeholder -
low Exfiltration
exfil-secret-in-urlSKILL.md:128Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=…" | jq '.'
placeholder
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
missing-refreference to a missing file: ../threads-scraper/
Process rating: all ten parameters 58/100
- 0Tools and files. 1 referenced file(s) missing: ../threads-scraper/
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (Threads Replies Scraper) differs from the folder (apify-threads-replies)
- 50Failures and branches. 0 branches, has a failure section
- 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. 13 steps
- 100Execution cost. Instruction body is 1815 tokens
- 100Running it twice. No mutating operations
- 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
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 265: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 13 items
- +3Output format is stated explicitly
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.