BB apify-reddit-scraper
Scrape Reddit posts, comments, subreddits and users with the harshmaur/reddit-scraper Apify Actor. No Reddit API key. Keyword search, date windows, full threads.
Promises Reddit scraping without API key: posts, comments, subreddits, users. Keyword search, date filters, full threads.
Files check out: no broken references, critical errors, or safety issues (safety_score 100). Quality_score 80 indicates solid instruction structure. Targets Claude and Hermes, three files, 3953 tokens—reasonable for a workflow.
Catch: process_score 74 hints at execution logic gaps. No model runs, no sandbox testing—actual performance unverified. Medium-low findings exist but aren't detailed.
Install if you trust the spec. Run it on your model first before production use.
Scrape Reddit posts, comments, subreddits and users with the harshmaur/reddit-scraper Apify Actor.
As a process B 72/100 · Nearly there — weak spots: result and completion, running it twice
The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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 · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 161 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - note
frontmatter-keyunknown frontmatter key "risk" - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "source_repo" - note
frontmatter-keyunknown frontmatter key "source_type" - note
frontmatter-keyunknown frontmatter key "date_added" - note
frontmatter-keyunknown frontmatter key "tools" - note
frontmatter-keyunknown frontmatter key "license_source"
Process rating: all ten parameters 72/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 17 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4159 tokens
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 40 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
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
- +2Single-language instructions
- +3Description length 161: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.