BC apify-ashby-jobs-scraper
Scrape Ashby jobs or discover companies using Ashby with the Apify Ashby Job Board API Actor (johnvc/ashby-job-board-scraper). Job mode returns live job rows with title, company, location, remote and employment fields, publish date, apply URL, employer-published salary columns, equity flag, and Markdown descriptions. Company mode finds Ashby boards from a bundled directory or checks a prospect list, returning company name, board slug and URL, live open-job count, and verification fields. Takes company names, board slugs, or board URLs; supports pre-billing job filters and publishedAfter feeds. Use for Ashby jobs data or API requests, salary and remote-role collection, job-board pipelines, companies using Ashby/Ashby customers, ATS market maps, prospect checks, and recruiting or sales target lists. Billed per delivered result with no start fee, and MCP-ready for Claude and other AI agents.
Scrape Ashby jobs or discover companies using Ashby with the Apify Ashby Job Board API Actor (johnvc/ashby-job-board-scraper).
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, 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 · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "author_url"
Process rating: all ten parameters 56/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 14 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
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 72 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3365 tokens
- low 13 top-level sections: this looks like several domains in one skill
- low The skill ranks results itself: that belongs to the system behind the tool, not the model
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)
- +3Description length 901: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 72 items
- +4Has examples (7 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: 85.