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BB apify-job-boards

Pull job postings from many boards in one run and prepare one validated, deduplicated table. Routes "find jobs / scrape job postings / build a job list / monitor new jobs / track a company's careers page" requests to a multi-board job scraper (LinkedIn, Indeed, Glassdoor, The Muse plus keyless boards) or a remote-only aggregator (RemoteOK, We Work Remotely, Remotive, Jobicy, Himalayas, HN Who is hiring), with output-locality checks, per-board raw/qualified/deduplicated counts, only-new-jobs monitoring, per-board caps and honest cost estimates. Use when the user asks to scrape jobs across job boards, get Indeed or Glassdoor postings without an API key, collect remote developer jobs, watch a company's Greenhouse/Lever/Ashby careers page, or set up a daily new-jobs alert.

apify/awesome-skills Agent Skills author: apify 1 file body ≈ 3 227 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Pull job postings from many boards in one run and prepare one validated, deduplicated table.

As a process B 73/100 · Nearly there — weak spots: result and completion, running it twice

ProcedureSlackAI and agentsInfrastructurePeople and hiringtype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
83
Run on models
none yet
Process rating
B
73/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration exfil-webhook-url SKILL.md:104
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      - Alerts: `"webhookUrl": "https://hooks.slack.com/..."` posts a digest of new rows to Slack, Discord or any webhook.
      placeholder

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "author_url"

    Process rating: all ten parameters 73/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 38 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3227 tokens
    • 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 779: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 38 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.